Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11/24 MUST BE PAYE THROUGH UMBRELLA We are working with one of the worlds largest management consultancies and they are in need of a Data Scientist for a project that they are delivering for a major banking client. Role Description: Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.
19/04/2024
Project-based
Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11/24 MUST BE PAYE THROUGH UMBRELLA We are working with one of the worlds largest management consultancies and they are in need of a Data Scientist for a project that they are delivering for a major banking client. Role Description: Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.
We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Data Scientist for one of their public sector Clients based in the UK. Role Title: Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11/24 Rate £554 inside of IR35 Role Description: Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.
19/04/2024
Project-based
We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Data Scientist for one of their public sector Clients based in the UK. Role Title: Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11/24 Rate £554 inside of IR35 Role Description: Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.
Data Scientist Whitehall Resources currently require an experienced Data Scientist to work with a key client *Please note this role is INSIDE IR35 and will be a hybrid role so onsite presence will be required* Role Description: . Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. . Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. . Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. . Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. . Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. . Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. . ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. . Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. . Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. . Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. . Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. . Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
19/04/2024
Project-based
Data Scientist Whitehall Resources currently require an experienced Data Scientist to work with a key client *Please note this role is INSIDE IR35 and will be a hybrid role so onsite presence will be required* Role Description: . Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. . Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. . Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. . Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. . Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. . Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. . ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends. . Collaboration: Work closely with the service management team to understand their data needs and deliver solutions that meet these needs. . Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. . Data Governance: Ensure that all data science activities comply with data governance policies and regulations, including data privacy and security requirements. . Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow. . Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
Senior Software Engineer - Governance Up to £90,000 + benefits (below) City of London (Hybrid Remote/Office based) Fruition IT are partnering with a FTSE100 global Biopharma business, with a goal to unite science, technology and talent. They aim to positively impact the health of c2.5 Billion people by 2030. We're looking for a Senior Software Engineer to join the R&D function of this organisation, a start-up within the wider business . This function is merger and upgrade of major data platforms which will give them the ability to leverage data, knowledge, and prediction to find new medicines. The goal of this function is to: Build a next-generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined data assets and predictions in Real Time Your role will be to: Design and deploy scalable and reliable governance solutions using a mix of existing technologies, open-source tools Contribute to an automated policy engine that integrates with existing authorisation systems, uses policy as code, is cloud-native (GCP), and integrated with the other platforms and frameworks Enable governance by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development SDLC processes for development management, CI/CD, and automation for infrastructure provisioning and deployment processes Experience Required: One or more programming languages, including: Python , Java, Scala Cloud: GCP (preferred), AWS, or Azure Infrastructure as code: Terraform Knowledge of computational data governance , data security, compliance regulations, and industry best practices Package on offer: Up to £90,000 p/a. 18% annual bonus Annual Shares £6k car allowance Up to 36 days Holiday per annum Life Insurance Medical Insurance Dental Vision Apply now, or contact (see below) for more information. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
19/04/2024
Full time
Senior Software Engineer - Governance Up to £90,000 + benefits (below) City of London (Hybrid Remote/Office based) Fruition IT are partnering with a FTSE100 global Biopharma business, with a goal to unite science, technology and talent. They aim to positively impact the health of c2.5 Billion people by 2030. We're looking for a Senior Software Engineer to join the R&D function of this organisation, a start-up within the wider business . This function is merger and upgrade of major data platforms which will give them the ability to leverage data, knowledge, and prediction to find new medicines. The goal of this function is to: Build a next-generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined data assets and predictions in Real Time Your role will be to: Design and deploy scalable and reliable governance solutions using a mix of existing technologies, open-source tools Contribute to an automated policy engine that integrates with existing authorisation systems, uses policy as code, is cloud-native (GCP), and integrated with the other platforms and frameworks Enable governance by design and implementation of user-friendly products through the use of computational and automatable engines and integrations with existing data platforms and pipelines, metadata, and authorisation systems Collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient governance products Use standard agile development SDLC processes for development management, CI/CD, and automation for infrastructure provisioning and deployment processes Experience Required: One or more programming languages, including: Python , Java, Scala Cloud: GCP (preferred), AWS, or Azure Infrastructure as code: Terraform Knowledge of computational data governance , data security, compliance regulations, and industry best practices Package on offer: Up to £90,000 p/a. 18% annual bonus Annual Shares £6k car allowance Up to 36 days Holiday per annum Life Insurance Medical Insurance Dental Vision Apply now, or contact (see below) for more information. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
We are looking for one "remote AI solutions specialist (ML/NLP) " to start from ASAP an initial contract until end of 2024 (extensions likely) for an international Org' -client in ROME, where 100% REMOTE work is possible. Possibility of extension based on performance and budget availability. English speaking environment. Our UN-agency client is aiming to utilize AI-driven solutions utilizing Natural Language Processing (NLP) and Large Language Model (LLM) to automate processes and enhance efficiencies for evidence mining processes. We are seeking an AI Solutions Specialist to deliver business and technical solutions that support research, evaluation, and knowledge management. Our UN-client is ready to engage in the piloting phase for prototyping and testing AI-driven solutions. Level of effort is estimated at 5 days per week, Monday-Friday, until December 2024. The expert will work from his/her home base. The profile we are looking for includes demonstrated experience in AI market analytics and AI market research expertise, including AI ROIs, investments areas, monitoring and measuring AI projects, and market knowledge in the non-profit sector. TASKS The position would focus in priority on: Research and evaluate new AI techniques, tools, and technologies to stay at the forefront of the field in UN-client. Advise AI pilot projects from conception to deployment, ensuring timely delivery and adherence to quality standards. Working closely with the AI lead, data scientists, and IT solutions specialists to assess UN-client needs and ensure alignment of AI solutions with existing data assets. Advising on products and available solutions for AI use cases considering available market options and anticipating future evolution and needs; Ensure successful delivery and testing of the project pilot. Etc SKILLS At least 10 years of demonstrated, progressively responsible, professional experience in leading or contributing to complex AI and digital transformation projects Demonstrated senior experience with overseeing technology-led projects including Machine Learning and NLP Demonstrated experience with acting as interface between client and technology service provider and ensuring smooth communication both ways, understanding the larger user-focused environment Familiarity with UN environment, experience with similar projects and understanding of evaluation are assets Knowledge of cloud platforms and services (eg, AWS, Azure, Google Cloud Platform and open source community) for AI development and deployment. Skills in AI piloting and use case development and testing. Excellent written and verbal communication skills in English is essential. OTHERS The applicants attention is drawn to the important role that the curriculum vitae plays in the evaluation. Curriculum vitae shall illustrate the specific skills relevant to this request. We would like to receive CVs of suitable candidates together with pricing quotations, based on a daily net rate including travel costs for the services described for off-site work. Please apply when you are available immediately or on short notice (and Full-time). Please respect, that I am NOT working with agencies/companies. PROVIDER infom consulting is an owner-managed business and consulting firm in Germany. The company supports large corporations and larger SMEs across Europe. Our IT experts are realising projects for the European Institutions, United Nations agencies, International Organisations and multinational companies across the EU. TO DO - QUESTIONS INTRO': Can you please provide a 3-4 sentences summary how you fit It's a kind of Intro' to be used for your presentation to the UN-client, which will help a lot. RATE: Can you tell me your daily rate (all in) in Euro, please? For OFF-site work. CV: Can you send your CV in DOC-format highlighting the specific skills relevant to this request, please? Can you tell me your availability (or notice period), please? We need one single key-consultant, who needs to be available full-time, 8 hrs per working day, Mon-Fri, 40 hrs/week, to work with team.
18/04/2024
Project-based
We are looking for one "remote AI solutions specialist (ML/NLP) " to start from ASAP an initial contract until end of 2024 (extensions likely) for an international Org' -client in ROME, where 100% REMOTE work is possible. Possibility of extension based on performance and budget availability. English speaking environment. Our UN-agency client is aiming to utilize AI-driven solutions utilizing Natural Language Processing (NLP) and Large Language Model (LLM) to automate processes and enhance efficiencies for evidence mining processes. We are seeking an AI Solutions Specialist to deliver business and technical solutions that support research, evaluation, and knowledge management. Our UN-client is ready to engage in the piloting phase for prototyping and testing AI-driven solutions. Level of effort is estimated at 5 days per week, Monday-Friday, until December 2024. The expert will work from his/her home base. The profile we are looking for includes demonstrated experience in AI market analytics and AI market research expertise, including AI ROIs, investments areas, monitoring and measuring AI projects, and market knowledge in the non-profit sector. TASKS The position would focus in priority on: Research and evaluate new AI techniques, tools, and technologies to stay at the forefront of the field in UN-client. Advise AI pilot projects from conception to deployment, ensuring timely delivery and adherence to quality standards. Working closely with the AI lead, data scientists, and IT solutions specialists to assess UN-client needs and ensure alignment of AI solutions with existing data assets. Advising on products and available solutions for AI use cases considering available market options and anticipating future evolution and needs; Ensure successful delivery and testing of the project pilot. Etc SKILLS At least 10 years of demonstrated, progressively responsible, professional experience in leading or contributing to complex AI and digital transformation projects Demonstrated senior experience with overseeing technology-led projects including Machine Learning and NLP Demonstrated experience with acting as interface between client and technology service provider and ensuring smooth communication both ways, understanding the larger user-focused environment Familiarity with UN environment, experience with similar projects and understanding of evaluation are assets Knowledge of cloud platforms and services (eg, AWS, Azure, Google Cloud Platform and open source community) for AI development and deployment. Skills in AI piloting and use case development and testing. Excellent written and verbal communication skills in English is essential. OTHERS The applicants attention is drawn to the important role that the curriculum vitae plays in the evaluation. Curriculum vitae shall illustrate the specific skills relevant to this request. We would like to receive CVs of suitable candidates together with pricing quotations, based on a daily net rate including travel costs for the services described for off-site work. Please apply when you are available immediately or on short notice (and Full-time). Please respect, that I am NOT working with agencies/companies. PROVIDER infom consulting is an owner-managed business and consulting firm in Germany. The company supports large corporations and larger SMEs across Europe. Our IT experts are realising projects for the European Institutions, United Nations agencies, International Organisations and multinational companies across the EU. TO DO - QUESTIONS INTRO': Can you please provide a 3-4 sentences summary how you fit It's a kind of Intro' to be used for your presentation to the UN-client, which will help a lot. RATE: Can you tell me your daily rate (all in) in Euro, please? For OFF-site work. CV: Can you send your CV in DOC-format highlighting the specific skills relevant to this request, please? Can you tell me your availability (or notice period), please? We need one single key-consultant, who needs to be available full-time, 8 hrs per working day, Mon-Fri, 40 hrs/week, to work with team.
Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
18/04/2024
Full time
Job Specification: Data Scientist Job Title: Data Scientist Job Description: An exceptionally competent and seasoned Data Scientist is desired to become a member of our dynamic team. The role of a Data Scientist entails the utilisation of sophisticated machine learning models and analytical techniques to extract insightful information from complex data sets. You will identify business problems, design, and implement data-driven solutions, and facilitate data-informed decision making in conjunction with multiple cross-functional teams. Key Responsibilities: Collect, clean, and preprocess data from multiple sources to create high-quality datasets for analysis. Develop and implement advanced statistical and machine learning models to solve complex business problems. Analyse and interpret data to uncover patterns, trends, and insights that can drive strategic decision-making. Effectively convey discoveries and suggestions to relevant parties, such as executives and cross-functional teams. Maintain current knowledge of the most recent data science methodologies, tools, and technologies, and consistently enhance your expertise. Mentor and collaborate with data analysts to share knowledge and best practices. Required Qualifications: Bachelor's or Master's degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. 3+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions. Proficiency in programming languages such as Python, R, or SQL, and experience with data manipulation and analysis tools such as Jupyter Notebook. Experience in using Data science Platforms like Anaconda, Amazon SageMaker. Experience in stand-alone environment and open-source tool for ML such as TensorFlow. Experience with cloud-based data platforms (eg, AWS, Azure). Strong understanding of statistical methods, machine learning algorithms, and their applications. Excellent critical thinking and problem-solving abilities, as well as the capacity to translate business requirements into data-driven solutions. Effective communication and presentation skills, with the ability to translate complex technical concepts into actionable insights. Knowledge of deep learning and natural language processing techniques.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
17/04/2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
17/04/2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Spectrum IT Recruitment (South) Ltd
Alton, Hampshire
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
16/04/2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
A global medical device company are looking for a R&D Process Development Engineer to join their Research and Development team on a contract basis. Familiarity with processes associated with biomaterial coating is required. The role will involve Laboratory Work, design experiments, analysing data, and optimizing processes to meet performance and regulatory requirements. You'll be part of a cross-functional collaboration. Working closely with a diverse team of scientists, design engineers, process engineers and other functions to ensure project alignment with goals and milestones. You will also need to complete documentation, maintain comprehensive records, documentation, and reports. The role will also involve Project Management. Taking ownership of assigned tasks within projects, managing task specific timelines, budgets effectively. You will work closely with vendors to ensure that the processes are compliant with regulatory requirements and that costs and timelines are maintain. Essential skills: Biomaterial coating experience, eg Chemical Vapour Deposition, Physical Vapour Deposition, Dip coating Experience working with external vendors High level knowledge of the processes Desirable skills: Combination devices experience Project management experience The start date is for ASAP. The initial contract length is for 12 months (there will be options to extend). The role is based in Limerick and can be done mostly remotely. You will only need to come onsite every other week. The rate is €55 per hour, depending on experience, if you have any expenses please let me know and I can factor that into the rate for you. Please visit our website to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy| Registered office | London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales
15/04/2024
Project-based
A global medical device company are looking for a R&D Process Development Engineer to join their Research and Development team on a contract basis. Familiarity with processes associated with biomaterial coating is required. The role will involve Laboratory Work, design experiments, analysing data, and optimizing processes to meet performance and regulatory requirements. You'll be part of a cross-functional collaboration. Working closely with a diverse team of scientists, design engineers, process engineers and other functions to ensure project alignment with goals and milestones. You will also need to complete documentation, maintain comprehensive records, documentation, and reports. The role will also involve Project Management. Taking ownership of assigned tasks within projects, managing task specific timelines, budgets effectively. You will work closely with vendors to ensure that the processes are compliant with regulatory requirements and that costs and timelines are maintain. Essential skills: Biomaterial coating experience, eg Chemical Vapour Deposition, Physical Vapour Deposition, Dip coating Experience working with external vendors High level knowledge of the processes Desirable skills: Combination devices experience Project management experience The start date is for ASAP. The initial contract length is for 12 months (there will be options to extend). The role is based in Limerick and can be done mostly remotely. You will only need to come onsite every other week. The rate is €55 per hour, depending on experience, if you have any expenses please let me know and I can factor that into the rate for you. Please visit our website to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. Real Staffing, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy| Registered office | London, EC4N 7BE, United Kingdom | Partnership Number | OC387148 England and Wales
IoT Engineer/Budapest 3 days per week onsite/6 months +/Start ASAP * Design and Architecture: Lead the design and architecture of IoT networks, including sensor selection, connectivity options, data acquisition, storage, and analytics infrastructure. * Implementation: Implement end-to-end IoT solutions, including device provisioning, integration with cloud platforms, and development of custom applications and dashboards. * Prototyping: Rapidly prototype and iterate on IoT concepts to validate technical feasibility and demonstrate proof of concept to stakeholders. * Security: Implement security best practices to safeguard IoT devices, data, and communications against cyber threats and vulnerabilities. * Scalability: Design IoT solutions that are scalable and can accommodate future growth in terms of device volume, data volume, and system complexity. * Performance Optimisation: Optimise IoT systems for performance, reliability, and resource efficiency to ensure smooth operation under varying conditions. * Testing and Validation: Develop test plans and conduct thorough testing and validation of IoT systems to ensure functionality, interoperability, and compliance with specifications. * Documentation: Create comprehensive documentation, including system architecture diagrams, technical specifications, and user manuals, to facilitate system maintenance and knowledge transfer. * Collaboration: Collaborate closely with cross-functional teams, including hardware engineers, software developers, data scientists, and product managers, to deliver integrated IoT solutions that meet customer requirements. * Continuous Learning: Stay updated on emerging trends, technologies, and best practices in the field of IoT, and apply new knowledge to enhance the capabilities of our IoT offerings. Qualifications: * Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. * Proven experience in designing and implementing IoT networks, preferably in an industrial or commercial environment. * Proficiency in IoT protocols and standards, such as MQTT, CoAP, LoRaWAN, and Bluetooth Low Energy. * Hands-on experience with IoT hardware platforms, sensors, actuators, and Embedded systems. * Strong programming skills in languages such as C/C++, Python, Java, or JavaScript. * Experience with IoT cloud platforms, such as AWS IoT, Azure IoT, or Google Cloud IoT Core. * Familiarity with data management and analytics technologies, such as SQL databases, NoSQL databases, and big data platforms. * Excellent problem-solving skills and the ability to troubleshoot complex technical issues. * Effective communication skills and the ability to work collaboratively in a fast-paced, cross-functional team environment.
15/04/2024
Project-based
IoT Engineer/Budapest 3 days per week onsite/6 months +/Start ASAP * Design and Architecture: Lead the design and architecture of IoT networks, including sensor selection, connectivity options, data acquisition, storage, and analytics infrastructure. * Implementation: Implement end-to-end IoT solutions, including device provisioning, integration with cloud platforms, and development of custom applications and dashboards. * Prototyping: Rapidly prototype and iterate on IoT concepts to validate technical feasibility and demonstrate proof of concept to stakeholders. * Security: Implement security best practices to safeguard IoT devices, data, and communications against cyber threats and vulnerabilities. * Scalability: Design IoT solutions that are scalable and can accommodate future growth in terms of device volume, data volume, and system complexity. * Performance Optimisation: Optimise IoT systems for performance, reliability, and resource efficiency to ensure smooth operation under varying conditions. * Testing and Validation: Develop test plans and conduct thorough testing and validation of IoT systems to ensure functionality, interoperability, and compliance with specifications. * Documentation: Create comprehensive documentation, including system architecture diagrams, technical specifications, and user manuals, to facilitate system maintenance and knowledge transfer. * Collaboration: Collaborate closely with cross-functional teams, including hardware engineers, software developers, data scientists, and product managers, to deliver integrated IoT solutions that meet customer requirements. * Continuous Learning: Stay updated on emerging trends, technologies, and best practices in the field of IoT, and apply new knowledge to enhance the capabilities of our IoT offerings. Qualifications: * Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field. * Proven experience in designing and implementing IoT networks, preferably in an industrial or commercial environment. * Proficiency in IoT protocols and standards, such as MQTT, CoAP, LoRaWAN, and Bluetooth Low Energy. * Hands-on experience with IoT hardware platforms, sensors, actuators, and Embedded systems. * Strong programming skills in languages such as C/C++, Python, Java, or JavaScript. * Experience with IoT cloud platforms, such as AWS IoT, Azure IoT, or Google Cloud IoT Core. * Familiarity with data management and analytics technologies, such as SQL databases, NoSQL databases, and big data platforms. * Excellent problem-solving skills and the ability to troubleshoot complex technical issues. * Effective communication skills and the ability to work collaboratively in a fast-paced, cross-functional team environment.
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
12/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.