*Job Title: Data Scientist* *Location: Cambridge, UK* Are you a talented Data Scientist with a passion for applying advanced analytical techniques to solve complex problems? We are seeking a skilled individual with a science or mathematics-based degree to join our dynamic team in Cambridge. *Company Overview:* We are a leading technology company dedicated to innovation in data analytics and machine learning. Our mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. *Role and Responsibilities:* - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and provide data-driven solutions. - Design and maintain scalable data pipelines and architectures. - Present findings and insights to stakeholders in a clear and concise manner. *Required Skills and Qualifications:* - Bachelor's degree or higher in a scientific or mathematical discipline (eg, Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (eg, Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability to work independently or in a team environment. - Effective communication skills with the ability to explain complex concepts to non-technical stakeholders. *Location and Benefits:* Our office is conveniently located in Cambridge, with easy access to public transportation and vibrant city amenities. We offer competitive salaries, comprehensive benefits packages, and a supportive work environment that encourages professional growth and development. *How to Apply:* If you are a passionate Data Scientist looking to make a difference in the world of data analytics, please submit your CV and a cover letter outlining your qualifications and interest in this role. We look forward to hearing from you! *Note:* This position is based in Cambridge, UK, and we are seeking candidates who are currently living within a commutable distance to this location.
24/04/2024
Full time
*Job Title: Data Scientist* *Location: Cambridge, UK* Are you a talented Data Scientist with a passion for applying advanced analytical techniques to solve complex problems? We are seeking a skilled individual with a science or mathematics-based degree to join our dynamic team in Cambridge. *Company Overview:* We are a leading technology company dedicated to innovation in data analytics and machine learning. Our mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. *Role and Responsibilities:* - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and provide data-driven solutions. - Design and maintain scalable data pipelines and architectures. - Present findings and insights to stakeholders in a clear and concise manner. *Required Skills and Qualifications:* - Bachelor's degree or higher in a scientific or mathematical discipline (eg, Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (eg, Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability to work independently or in a team environment. - Effective communication skills with the ability to explain complex concepts to non-technical stakeholders. *Location and Benefits:* Our office is conveniently located in Cambridge, with easy access to public transportation and vibrant city amenities. We offer competitive salaries, comprehensive benefits packages, and a supportive work environment that encourages professional growth and development. *How to Apply:* If you are a passionate Data Scientist looking to make a difference in the world of data analytics, please submit your CV and a cover letter outlining your qualifications and interest in this role. We look forward to hearing from you! *Note:* This position is based in Cambridge, UK, and we are seeking candidates who are currently living within a commutable distance to this location.
On-site 2-3 days (and otherwise remote/off-site) in Måløv, Denmark Duration: Expected duration 12 months. Expected experience: Strong Vue. skills and experience with Python is a must Preferred experience: Hands-on experience with Titian Mosaic or a similar research sample inventory system is considered an advantage but not a must. Knowledge of Oracle DB, SQL or PL/SQL (fundamental understanding). Be able to communicate in English Software Development: We would rather look also for someone with a more workflow/Front End focus. Application Configuration: Titian/Mosaic experience or worked with a COTS system and administered/configured it. Technologies to be used: Python Vue CI/CD Git REST APIs AWS and ADO Cloud Oracle database SQL Responsibilities and skills: Contributes to an agile product team that is onboarding Pharma R&D wet-labs to the Titian Mosaic sample inventory system Development, bug fixing and second line support on our in-house build application for sample management handling (build in Vue). Analyze complex lab workflows and translate the sample management needs of scientists into requirements for the IT solution Implements changes in the configuration (user roles, data model) as well as metadata (dropdowns) in the Mosaic system Be able to work in highly changeable organization. Communicate and collaborate with R&ED scientists (typically lab associates/scientists), Research IT experts, Software Engineers, and Product Owners You will work with our agile Inventory Management System product team together with eight other colleagues. They are working on implementing our new browser-based inventory system, Mosaic, from Titian software company as well as an in-house develop web application for sample management. You will be in touch with different laboratory teams in Denmark, UK and US regularly, to ensure business consistency and continuity. Finally, you will collaborate with business analysts and developers in the team to share knowledge and develop new solutions.
22/04/2024
Project-based
On-site 2-3 days (and otherwise remote/off-site) in Måløv, Denmark Duration: Expected duration 12 months. Expected experience: Strong Vue. skills and experience with Python is a must Preferred experience: Hands-on experience with Titian Mosaic or a similar research sample inventory system is considered an advantage but not a must. Knowledge of Oracle DB, SQL or PL/SQL (fundamental understanding). Be able to communicate in English Software Development: We would rather look also for someone with a more workflow/Front End focus. Application Configuration: Titian/Mosaic experience or worked with a COTS system and administered/configured it. Technologies to be used: Python Vue CI/CD Git REST APIs AWS and ADO Cloud Oracle database SQL Responsibilities and skills: Contributes to an agile product team that is onboarding Pharma R&D wet-labs to the Titian Mosaic sample inventory system Development, bug fixing and second line support on our in-house build application for sample management handling (build in Vue). Analyze complex lab workflows and translate the sample management needs of scientists into requirements for the IT solution Implements changes in the configuration (user roles, data model) as well as metadata (dropdowns) in the Mosaic system Be able to work in highly changeable organization. Communicate and collaborate with R&ED scientists (typically lab associates/scientists), Research IT experts, Software Engineers, and Product Owners You will work with our agile Inventory Management System product team together with eight other colleagues. They are working on implementing our new browser-based inventory system, Mosaic, from Titian software company as well as an in-house develop web application for sample management. You will be in touch with different laboratory teams in Denmark, UK and US regularly, to ensure business consistency and continuity. Finally, you will collaborate with business analysts and developers in the team to share knowledge and develop new solutions.
Senior Data Scientist/Data Scientist/Machine Learning Engineer/Exeter/Torquay/Weymouth/Python/C#/Unity/Machine Learning - £45,000 - £55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity/C#) and their applications across various sectors. You MUST have Front End development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for Real Time or batch processing Senior Data Scientist/Data Scientist/Machine Learning Engineer/Exeter/Torquay/Weymouth/Python/C#/Unity/Machine Learning - £45,000 - £55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
22/04/2024
Full time
Senior Data Scientist/Data Scientist/Machine Learning Engineer/Exeter/Torquay/Weymouth/Python/C#/Unity/Machine Learning - £45,000 - £55,000 My client is looking for a new Data Scientist with experience in Artificial Intelligence and Machine Learning to join a growing development team as a Data and Machine Learning Developer. Your expertise will directly contribute to the advancement of their Immersive technology solutions (working in Unity/C#) and their applications across various sectors. You MUST have Front End development and Machine Learning experience to be suitable for this position. Requirements: Ph.D. in Computer Science, Data Science, Statistics, or a related field (ideally with an application to human factors, psychology or neuroscience). Prior exposure to and knowledge of physiological sensors, biosensors and data acquisition systems would be an advantage It would be an advantage if you already have SC clearance You also must have been based in the UK for the last 5 years Responsibilities: Experience with programming languages such as Python is needed; familiarity with C# is a plus Create, deploy and refine algorithms that process, analyse, and learn from large psychophysiological data sets Collaborate with team members along with communicating to the relevant stakeholders on technical matters Capable of Integrating Machine Learning models into production systems and deploy them for Real Time or batch processing Senior Data Scientist/Data Scientist/Machine Learning Engineer/Exeter/Torquay/Weymouth/Python/C#/Unity/Machine Learning - £45,000 - £55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Full stack Node Developer - Perm £80k - Economic Marketing Analytics A Global Marketing Agency a part of the S4 group is looking for a Full-stack Node Developer to take ownership of building a self-service platform to allow customers to utilise their Econometric marketing tools. As a Fullstack developer, your focus is to bring this prototype into production and be responsible for the design, build and implementation of this platform using the latest technologies. Working closely with data scientists and economist modellers, you will influence on how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities. Salary: £60,000-£80,000 Location: 1-2x per week in the City of London Requirements: Senior experience and knowledge using Node.JS OR NEXT.JS Must have Front End experience using React or Vue Experience working with cloud technologies such as AWS or GCP Experience with databases such as; MySQL and NO-SQL (MongoDB or Big Query) Preferable experience working with core data libraries in R or Python Must have experience owning or leading a product development. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an economist marketing analytics platform for a well-respected company. Please apply with an up-to-date CV to begin a conversation! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
19/04/2024
Full time
Full stack Node Developer - Perm £80k - Economic Marketing Analytics A Global Marketing Agency a part of the S4 group is looking for a Full-stack Node Developer to take ownership of building a self-service platform to allow customers to utilise their Econometric marketing tools. As a Fullstack developer, your focus is to bring this prototype into production and be responsible for the design, build and implementation of this platform using the latest technologies. Working closely with data scientists and economist modellers, you will influence on how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities. Salary: £60,000-£80,000 Location: 1-2x per week in the City of London Requirements: Senior experience and knowledge using Node.JS OR NEXT.JS Must have Front End experience using React or Vue Experience working with cloud technologies such as AWS or GCP Experience with databases such as; MySQL and NO-SQL (MongoDB or Big Query) Preferable experience working with core data libraries in R or Python Must have experience owning or leading a product development. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an economist marketing analytics platform for a well-respected company. Please apply with an up-to-date CV to begin a conversation! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
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.