10 joburi disponibile

Senior Scientist Cyber Security Research 12 Month Contract Newport - 3 days on site BPSS required Our client are looking for a Senior Cyber Security Scientist who can undertake cutting edge digital security research and innovation activities, with the ultimate goal of developing solutions to the business' problems for which a solution doesn't currently exist. Further, someone who can build and maintain awareness and knowledge of best-practice technology trends and commercially available digital security solutions. Experience: Industrial Control Security Experience of research, innovation and/or solution development. Experience of managing digital security and/or R&I projects. Cyber industry publication (blogs, SANS articles etc). Network Security, Cloud Security. Research Skills: Excellent report writing and presentation skills. Excellent spoken and written English. Academic publication track record. Recent Cyber Security research publications. Managing NDAs, IPR, Patent Applications. Technical skills: Programming,esp. Python. Design & configuration of IP Networks including virtualised infrastructure. Experience configuring network Firewalls, IDS, IPS, Honeypots etc. Deep insight into network cyber attacks and their mitigation. Basic software development/Scripting/web apps, eg Python, Rust. Certifications such as Cisco R&S/CCNA/CCNA-S Data Analytics/AI/ML applied to Network Security (tools & techniques). Academic: Bachelor's degree in Comp Sci, Comms & Networking, Cyber or similar. Recent PhD or Masters relevant to "ICS Cyber Security". If this role is of interest to you and you hold active BPSS clearance, please apply now! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Job Title: Senior Data Scientist Location: Leeds (Hybrid - 2 days in the office per week) Salary: Up to £68,000 Our client, a very well reputable tech first business, is looking to hire an experienced Senior Data Scientist as they continue to scale their data capabilities. You will work closely with a technical engineering team to deliver innovative, data-driven solutions that optimise operational performance, improve efficiency, and reduce costs. This role offers the opportunity to work on meaningful projects in a regulated industry, contributing to impactful analytics initiatives in collaboration with highly skilled professionals. Senior Data Scientist Responsibilities: Partner with engineering and technology teams to identify opportunities for applying data science techniques to deliver measurable business value. Develop and deploy predictive models, time-series forecasting, and natural language processing solutions to address real-world operational challenges. Design and implement scalable data pipelines and frameworks to ensure data quality, accuracy, and integrity. Present findings and actionable recommendations through data storytelling to technical and non-technical stakeholders. Keep up to date with advancements in data science and analytics technologies, incorporating best practices into project delivery. Ensure compliance with regulatory and internal policy standards in all data-driven initiatives. Senior Data Scientist Requirements: Proven experience delivering end-to-end data science projects, from proof-of-concept through to production, with a focus on operational outcomes. Advanced proficiency in Python and machine learning frameworks such as Scikit Learn, TensorFlow, or PyTorch. Strong SQL skills and experience with data platforms (eg, Snowflake, cloud-based systems) and visualisation tools. Familiarity with data governance and best practices for assessing and improving data quality. Highly numerate with a solid statistical background and a commitment to delivering high-quality results. Prior exposure to regulated industries or technical engineering environments is desirable but not essential. What's in it for me? Hybrid working - collaborate in the office 2 days per week with flexibility to work remotely. Competitive salary package with a discretionary bonus. Professional development opportunities, including certifications, industry events, and training courses. Access to additional employee benefits that promote well-being and work-life balance. 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.

Senior Data Scientist - Southampton - £45,000 - £60,000 VIQU have partnered with a fast-growing SaaS and data analytics company who are looking to expand their current team and hire a senior data scientist to lead the development of their simulation and analytics techniques. The ideal candidate will come from a STEM background, holding experience with Scripting languages, processed data utilising databases and data lakes and previously ran simulations. This position requires you to be on site twice a week in their modern Southampton office. Job Duties of the Senior Data Scientist: - Creating data models and data simulations - Development of data algorithms and analysis techniques - Processing big data - Interpreting results from simulations in a real world setting - Working with customers, helping them understand the data and how this impacts their business Requirements for the Senior Data Scientist: - Must have experience with a coding language (Python, Pyspark, Pandas ect.) - Experience developing simulations of physical scenarios - Experience working with databases and data lakes to process data - Ability to communicate to technical and non technical audiences - Experience with data analytics techniques Senior Data Scientist - Southampton - £45,000 - £60,000 To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack Mcmanus , by exploring the VIQU IT Recruitment website . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

Job Title: Data Scientist (Parental Cover) - Retail Analytics & Business Intelligence Team Duration: 6 months Role Overview: We are seeking a highly motivated and skilled Data Scientist to join our Retail Analytics & Business Intelligence team for a 6-month parental cover assignment. As part of this role, you will be responsible for contributing to the development and enhancement of analytics solutions that support our retail operations and decision-making processes. You will work closely with cross-functional teams to implement and optimize analytics systems, and your expertise in software engineering and programming will be critical in ensuring the success of various initiatives. Key Responsibilities: Data Science & Analytics Development: Collaborate with the product team to design, develop, and implement proof-of-concept analytics systems that provide actionable insights to support business decisions in the retail domain. System Maintenance & Enhancement: Take ownership of the maintenance of current analytics solutions, ensuring system reliability and performance. Continuously improve and upgrade existing solutions by adding new features, optimizing processes, and implementing best practices. Data Processing & Analysis: Utilize your strong data manipulation and statistical analysis skills to process large datasets, extract valuable insights, and communicate findings to stakeholders in a clear and actionable manner. Programming & Software Engineering: Leverage your expertise in Python, SQL, and related tools to build scalable and efficient data pipelines, perform complex analyses, and develop automation solutions to support data workflows. Cloud Integration & Deployment: Utilize Google Cloud Platform (GCP) to deploy and scale analytics applications and solutions. Collaborate with the infrastructure team to ensure smooth integration and maintain system performance in cloud environments. Collaboration with Cross-functional Teams: Work closely with other data scientists, business analysts, product managers, and stakeholders to understand business requirements, translate them into technical specifications, and deliver analytics solutions that meet business needs. Proof-of-Concept & Experimentation: Lead and contribute to proof-of-concept projects by developing prototype models and running experiments to validate new analytical approaches or technologies. Documentation & Reporting: Provide clear documentation of your work, including methodologies, code, and system architecture. Present findings to both technical and non-technical stakeholders and contribute to regular progress reports. Required Skills and Qualifications: Technical Expertise: Strong programming skills in Python and experience working with libraries such as Pandas, NumPy, and Scikit-learn. Proficiency in SQL for data manipulation and querying. Cloud Computing Knowledge: Practical experience working with Google Cloud Platform (GCP) services, including BigQuery, Cloud Storage, DataFlow, or similar tools. Analytics & Data Science Experience: Proven experience in performing data analysis, building machine learning models, and providing actionable insights in a data-driven environment, preferably within retail analytics or similar industries. Problem-Solving & Innovation: Ability to approach complex problems with creative solutions, utilizing both technical expertise and analytical thinking to build robust, scalable, and high-impact systems. Communication & Teamwork: Excellent communication skills with the ability to collaborate effectively in cross-functional teams and convey complex technical concepts to non-technical stakeholders. Desired Qualifications: Retail Analytics Knowledge: Familiarity with retail business metrics, customer segmentation, sales forecasting, inventory management, or other relevant retail concepts is a plus. Experience with BI Tools: Experience using Business Intelligence tools (eg, Tableau, Power BI) for data visualization and reporting. This is an exciting opportunity to contribute to innovative analytics solutions in a fast-paced retail environment. If you are a data-driven problem solver with strong programming skills and a passion for working in the retail industry, we encourage you to apply.

We are looking for one of our client based in Switzerland in the region of Zurich a Senior IoT Data Scientist. The location is it close to Stäfa and the following opportunity is a Permanent contract. The ideal candidate: -Senior profile with several years of experience in physical modelling, algorithm development and data science. -Strong experience with Python and SQL, it is a plus if you have experience with Apache Spark and MLOps -Good communication in English and German Bonus from the company (that you can choose in internal shares or cash) If you are interested in this new opportunity please apply with you last updated CV, we are excited to hear from you. Flexible working hours with the opportunity to work from home. If you are interested, please apply with your updated CV and we will back to you as soon as possible Michael Bailey International is acting as an Employment Agency in relation to this vacancy.

NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst

NO SPONSORSHIP AI Engineer/Developer On site 3 days a week downtown Chicago Salary - 180 - 200K + $1200 - 10K Bonus We are looking for someone with a software development background who just happens to have specialized in AI Workflow automation. This makes their skills far more portable and is super important because the field is changing rapidly. Existing automation tech will be become obsolete very soon. We need people that are more focused on the programming side of the house, versus general office productivity. AI Engineering natural language processing and machine learning design Python Langchain LlamalIndex and Semantic Kernel large language models PyPDF Azure document intelligence prompt engineering In total, there are 20 people associated with this AI team. The Artificial Intelligence team is brand new at this organization. this is a new wave in the Legal space, and we are responsible for creating an AI road map in the Legal industry. AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Ideal Candidate: -Bachelor's Degree in Computer Science, Engineering, or related field -A minimum of 5 years of experience in AI engineering or a related field -MUST HAVE: Proven experience with AI engineering tools and technologies, including Python, Langchain, LlamaIndex, and Semantic Kernel -Understanding of large language models. -You will likely come across a lot of general software developers who want to transition into AI Engineering - This is an acceptable candidate, as long as they have experience with the AI tools listed above. -You will also likely come across Data Scientists that are trying to reinvent themselves as Data/AI Engineers. This candidate is acceptable as well, as long as they have experience with the above listed tools and can build a case on AI agents. The AI Engineer, a member of the AI Engineering team, is responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Duties and Responsibilities: Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence) Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function design Design and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databases Develop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex Agents Use Gen AI to distill metadata and insights from documents Fine tune LLMs to optimize for domain and cost Collaborate with stakeholders to implement and automate AI powered solutions for common business workflows Enhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment Required: Bachelor's Degree in Computer Science, Engineering, or related field A minimum of 5 years of experience in AI engineering or a related field Preferred : Master's Degree in Computer Science, Engineering, or related field Proven experience with AI engineering tools and technologies, including Python, Streamlit, Jupyter Notebooks, Langchain, LlamaIndex, and Semantic Kernel Experience with natural language processing, text extraction, and information retrieval techniques Strong understanding of machine learning and deep learning concepts including transformer based GPT models Experience with distributed computing and cloud environments (eg, Microsoft Azure)

We are currently looking on behalf of one of our important clients for a Senior Data Scientist. The role is permanent position based in Zurich Canton & comes with good home office allowance. Your role: Hold responsibility for shaping the Intelligence behind an associated product Develop the product solutions in relation to the areas of the detection, localization & quantification. Write algorithms & work with data engineers to run them in a productive environment. Work with noisy & sparse data & write production-ready code. Your Skills & Experience: At least 3 years of relevant professional experience including strong experiences in Data Science, Algorithm Development & Physical Modeling. An in-depth knowledge of Statistics, Physics & Data Analysis. Skills & expertise in Python, SQL & Apache Spark. Ideally experienced in MLOps. Any experience in developing IoT Solutions is considered advantageous. Your Profile: Completed University Degree in the area Computer Science, Engineering, Physics or Similar. Motivated to take responsibility & drive innovative ideas. Dynamic & adaptable. Fluent in English (spoken & written). Any German language skills are considered very advantageous.

An exciting opportunity to work on unique projects using the latest technologies. Working as part of a team, you will be working alongside software engineers and specialist data scientists on various projects, which will include rapidly prototyped research right through to high grade enterprise systems. You will be supporting on-going agile development projects. The development will build upon a bespoke capability built specifically for the customer, and incorporate a diverse range of new functionality. The successful candidate will have the following experience: Strong academic background in Data Science, Mathematics, Statistics or a similar field, or several years professional experience within Data Science Experience in design, development, test and integration of quality software Be capable of confidently programming in either one or more of the following: R, Python, Matlab, Scala, and able to pick up other programming languages quickly. Good knowledge in in either Data Science, Programming languages/visualising data, machine learning, AI or deep neutral net technologies. Security Clearance is required for this vacancy. Candidates will need to have DV Clearance.

Investment Banking - Senior C++ Developer - Glasgow - C++, Python, SDLC, Linux The candidate will be working with a UK based team of passionate programming-language subject matter experts, as well as developers, data scientists and technical leads across the entire firm. They will be responsible for helping to maintain an extensive library of C++ plug-ins for kdb users that as well as engineering internal tools and libraries where necessary. We are looking for a candidate who is keen to work with new languages. This is primarily a C++ role but openness to learn and work with KDB+/q and python will be required. Prior knowledge of KDB not necessary. Skills required: Core C++ development Python development Familiarity with the enterprise Software Development Lifecycle (SDLC) Familiarity with Linux Good communication/organisation skills Skills desired: Prior experience with OCI containerisation tools/platforms (such as Docker, Kubernetes) Prior kdb+/q experience (or willingness to learn on the job) High-level understanding of Windows development By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.