551 to 575 of 1,312 Data Science Jobs in the UK excluding London

Location(s): 55 Princess Street, Floor 3, Manchester, M2 4EW, GB Line Of Business: Data Estate(DE) Job Category: Engineering & Technology Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who … are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise … timely data with a commitment to innovation. At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯

innovation, efficiency, and productivity. The role will lead AI adoption across corporate functions, support engineering and operations colleagues drive AI adoption in these critical functions, whilst collaborating and supporting Science and NTR colleagues with their existing high-performance computing (HPC), machine learning (ML) and AI initiatives. This role requires deep understanding and significant experience of AI technologies, ideally with … engineering, scientific, and manufacturing goals. Identify and prioritize AI opportunities to enhance operational efficiency, product quality, and customer satisfaction Leadership and Collaboration : Lead a multidisciplinary team of AI specialists, data scientists, engineers, and manufacturing experts from across our organisation. Foster a culture of innovation and continuous improvement within the organization. Collaborate with other departments, including Operations, Engineering and Science … of AI solutions in engineering and manufacturing processes. Ensure AI solutions meet regulatory standards and industry best practices. Monitor and evaluate the performance of AI systems and processes, making data-driven adjustments as necessary Training and Support : Provide training and support to AWE employees on AI technologies and their applications. Ensure AI team members are equipped with the necessary More ❯

uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Clinical Data Management Job Category: Professional All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Analytical Monitor x …/High Wycombe, UK Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the … way. Learn more at We are searching for the best talent for Senior Analytical Monitors x 3 in our Integrated Data Analytics and Reporting (IDAR) business - experienced individual contributors with strong knowledge of site monitoring and Analytical Risk Based Monitoring (ARBM) practices, data analytics, methods, processes, and technologies. The head office location is in High Wycombe, Buckinghamshire, UK More ❯

maintenance of ongoing performance metrics, investigations, reports, analyses, dashboards, etc. to drive key business decisions. Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities. Recognize and adopt best practices in reporting … and analysis: data integrity, test design, analysis, validation, training, and documentation. Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our loss reduction goals. Acquire various data sources to enable holistic analysis at a global level. Establish performance benchmarks, conduct … of people management experience. 3+ years of experience in control room management, law enforcement, loss prevention, risk management, supply chain management, or other related field. Relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments. Experience in data mining and dataset preparation using SQL. Experience in data More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance … technology trends and innovations, and evaluate their potential impact on our domains. Required Education, Experience/Skills/Training: Basic Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. At least 10 years of experience in the software engineering field, with a focus on building highly available architecture, shipping robust code and … cloud infrastructure. Experience working with remote global teams and a flexible schedule to meet in different time zones. Experience leading multiple teams Required Education Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. Minimum of 10 years related work experience. Technology is at the More ❯

the TRE's foundational workflows for integration into national health research infrastructure. 4. To play a key role to ensure all TRE activities adhere to ISO, NHS, and university data governance. Oversee risk assessments, ethics approvals, and data protection compliance. 5.Responsible for monitoring project budgets, track spending, ensure efficient use of resources, and support in the preparation of … Knowledge Essential: A1. Scottish Credit and Qualification Framework (SCQF) level 9, 10 or 11 (Ordinary/Honours degree or postgraduate qualification) in a relevant field (e.g. project management, health data science, IT, biomedical sciences, or engineering) including being professionally qualified in a relevant discipline, with a broad range of professional experience in a management role(s). A2. … Knowledge of research data environments and health data governance standards (e.g. ISO 27001, GDPR, NHS policies). A3. Practical application and understanding of data protection, GDPR and other statutory requirements and professional guidelines. A4. Strong understanding of project management methodologies (e.g. PRINCE2, Agile, or equivalent). Desirable B1. A working knowledge of public sector policies and procedures More ❯

Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. Where You Fit In We are seeking a … and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or More ❯

ideal candidate will have a strong quantitative background, deep understanding of commodity markets, and experience in developing and executing algorithmic trading strategies. You will collaborate with researchers, engineers, and data scientists to identify opportunities, optimize strategies, and manage risk in real-time. Key Responsibilities: Research, design, and implement algorithmic trading strategies in commodity markets (e.g., energy, metals, agriculture) including … global macroeconomic trends, geopolitical events, and market structure changes affecting commodities. Required Qualifications: Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or Finance. 3+ years of experience in commodity trading, preferably in a quantitative or algorithmic environment. Strong programming skills in Python, C++, or similar languages used in quantitative More ❯

unique blend of strengths, to take our business to the next level. You'll be a Research Scientist based within our Oxford R & D Lab using your expertise in data science and collaborating with business partners, technical partners and academic partners, developing new AI solution for insurance industry and contributing to solve societal problems over the world. If … faster join us and enjoy every opportunity. CHALLENGED NOW AND-EXPERT NEXT. Responsibilities Conduct feasibility assessments and validate the suitability of cutting-edge technologies, such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing, within the insurance and risk consulting domain. Collaborate with cross-functional teams to identify social and business challenges in the … industry and develop innovative solutions that leverage the identified technologies. Analyse complex data sets and provide insights to support strategic decision-making processes for clients in the insurance sector. Design and implement proof-of-concept projects to demonstrate the potential value and practical implementation of the identified technologies. Stay up-to-date with the latest advancements and emerging trends More ❯

Job Title: KDB Developer Location: London - Hybrid Type: Permanent Position We are actively recruiting multiple KDB Developers at various levels for a fast-paced, data-driven organisation at the forefront of real-time analytics and high-performance computing. This organisation are a consultancy working with some of the leading names in the financial services sector. The Role: As a … KDB Developer, you will be responsible for designing, developing, and maintaining high-performance applications and data analytics solutions using kdb+/q. You’ll work closely with quants, traders, and data scientists to deliver scalable systems and actionable insights from large volumes of time-series data. Key Responsibilities: Design, implement, and optimise kdb+/q-based applications and … data pipelines Work on real-time data ingestion, transformation, and analysis Collaborate with stakeholders to gather requirements and translate them into technical solutions Maintain and enhance existing codebases, ensuring high availability and performance Contribute to architectural decisions and best practices for kdb+ systems Troubleshoot and resolve production issues quickly and effectively Required Skills & Experience: Strong hands-on experience More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can only More ❯

a working pattern that suits your lifestyle and helps you reach your ambitions. ML Ops Engineer Crawley Thales Group's global CortAIx initiative already employs over 600 AI and data specialists, being the first patent applicant in AI for critical systems in Europe with more than 200 patents filed to date. With more than 100 products integrating AI, the … an experienced ML Ops Engineer to work with our existing CortAIx team at our site in Crawley. Primary Purpose of the Role: To drive the evolution and deployment of Data and AI capabilities within the businesses and to our customers in order to increase growth in orders and increased customer satisfaction. As part of a newly established software development … team, the Factory AI/ML Ops Engineer will work with both the development team and the end user in Thales UK businesses. Supporting the Thales UK Digital and Data strategy the Software support engineer will; support the delivery software offerings into an internal catalogue of reusable/re-deployable capabilities focused around data and AI capabilities, helping More ❯

and AI tools (e.g., Google Cloud, Azure). Familiarity with natural language processing or AI technologies (e.g., LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents (e.g., using Google Cloud Fusion/Azure Data Factory). Demonstrated success in deploying AI solutions in real-world applications. Work closely … with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new products. Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team. Strong background in either Python/Typescript. Operational experience taking internal products and ensuring they are well … advantageous. Experience with modern application architecture methodologies (Service Oriented Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Data Obfuscation, etc. Knowledge of Azure Data Factory/GCP Cloud Data Fusion, Microsoft Azure Machine Learning or GCP Cloud ML Engine, Azure Data Lake, Azure Databricks More ❯

Senior Data Scientist Reading £70,000 + Benefits OVERVIEW Harnham is working with a global market research company that is investing heavily into their data science capability across Reading and London. They have an impressive team to date and are looking to add 2x Data Scientists in the coming months due to on-going success within … this part of the organisation, responsible for collecting and analysing data for a number of high-profile customers. This position sits in a very important part of the business and is responsible for generating significant revenues. The purpose of these roles is to use sophisticated data science and optimisation techniques to automate the key product offering for … on optimisation for the team and be responsible for leading technical efforts to improve the health of the product. THE ROLE You will be: Reporting into the VP of Data and working as part of a collaborative team of Data Scientists, Analysts, and Product specialists Helping to design and build optimisation models to production Analyse historical trading data More ❯

Data Scientist Start: ASAP Duration: 6-12 months Location: onsite 3 days per week in Milton Keynes Pay: up to £425/day Inside IR35 We are seeking an experienced Data Scientist. You will be instrumental in developing and deploying data-driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments. … Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into … data-driven solutions and actionable insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure More ❯

A specialist data consultancy is seeking a Senior Data Scientist with strong hands-on experience in Machine Learning and Generative AI. This role offers the opportunity to work on high-impact projects across various industries, applying advanced data techniques to solve real-world business problems. This is an excellent opportunity to join a collaborative team delivering innovative … AI and data science solutions for a diverse client base. Role Responsibilities Design and implement ML and Generative AI models to address client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and model fine-tuning … understand requirements and define appropriate technical solutions Contribute to project scoping, delivery, and reporting, ensuring outcomes align with client objectives Keep up to date with developments in AI and data science and bring fresh ideas to internal and external projects Support a collaborative team culture through knowledge sharing and technical discussions Skills and experience required Proven experience delivering More ❯

Director, AIDA R&D AI & Data Product Management United States - Massachusetts - Cambridge United States - Washington - Bothell United States - Pennsylvania - Collegeville United States - New York - New York City We're in relentless pursuit of breakthroughs that change patients' lives. We innovate every day to make the world a healthier place. To fully realize Pfizer's purpose - Breakthroughs that change patients … benefits programs designed to meet the diverse needs of our colleagues. Pfizer's mission to deliver breakthroughs that change patients' lives is powered by a deep commitment to innovation, science, and technology. As part of this mission, we are seeking a visionary Director of AI and Data Product Management to lead the development and lifecycle management of AI … and data products that transform R&D operations and decision-making. This role will define and execute the product strategy for AI and data solutions across the R&D organization, ensuring alignment with scientific goals, regulatory requirements, and enterprise digital strategy. The Director will lead a team of product managers and collaborate closely with data product analysts More ❯

Lead Data Scientist £75,000 Hybrid – Central London (2–3 days onsite: Tues, Wed, Thurs) Permanent | Full-time If you’re the kind of Data Scientist who thrives on building things from scratch, partnering with stakeholders, and lighting the fire under transformation - this one’s for you. We’re working with an organisation in the midst of an … exciting digital evolution. They’re investing heavily in their data capability and need a Lead Data Scientist to drive innovation, shape future data products, and lead high-impact projects across the business. What You’ll Do Lead the design and development of analytics solutions, ML prototypes, and intelligent automation tools. Collaborate across Product, Platform, and Engineering teams … to ensure your solutions are scalable and robust. Own the lifecycle of data science initiatives - from business challenge to deployed solution. Act as a change agent - helping business users understand the why, not just the what. Mentor and support other data scientists, nurturing a culture of experimentation and excellence. What You Bring 5+ years of data More ❯

Senior Research Scientist – Data Science & Machine Learning Chelmsford (Hybrid – 2 days onsite per week) £60,000 – £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking a Senior Research Scientist to join its advanced data and decision science capability. This is a rare … impact across domains including national defence, space, and critical infrastructure. What you'll be doing: • Leading AI/ML research projects from concept to prototype • Developing algorithms for sequential data and decision support • Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more • Mentoring junior staff and publishing/patenting innovative research • Working directly with … knowledge of machine learning and statistical signal processing • Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn • Experience working with time-series, sensor, or RF data • Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically More ❯

Data Engineer- Newcastle Based Salary: Paying Up to £105,000 Working Arrangements: 5 days in the office (Newcastle) T he Company An industry leading consultancy and a globally renowned hedge fund, have formed a joint venture and are seeking highly competent software engineers to join their growing team. Successful candidates must have strong academic backgrounds and a desire to … perform at the highest level. Must be impact driven. The Role A highly academic engineer is needed to assist in the development of their new data platform. You will collaborate closely with architects, data scientists, and other engineers to develop a new platform that will offer vital business insights. The ideal candidate will hold a strong Computer Science, or another STEM related, degree. Must have at least a 2:1 from a Russell Group University + Strong A-Levels/Equivalent Profile needed - Python SQL Data Engineering AWS More ❯

Our client is seeking an experienced Head of Data to lead their data team through a transformative journey, positioning data as a central pillar of their business strategy. This role will oversee a diverse team of specialists including Data Quality Analysts, Data Engineers, Data Science Engineers, and Business Intelligence professionals, while championing our … clients mantra of "Powered by technology, underpinned by people." Principal Duties and Responsibilities Guide and coach data teams on data analytics, vision and best practices. Lead data-driven innovation, including ingestion, extraction and presentation. Connect data initiatives directly to business outcomes and KPIs. Drive forward data products and services with internal and external customers. Serve … as the guarantor of data security quality, ensuring consistency and reliability across business areas. Guide teams in transforming data into actionable business insights, driving strategy and decision making. Work closely with technology, operational and customer focused teams. Remove roadblocks and ensure teams remain focused on delivering value. Proficiency in data analytics, vision and driving a Single Source More ❯

Senior Data Scientist ££60,000 £75,000 GBP Bonus Hybrid WORKING Location: United Kingdom (Greater London - Chelmsford) Type: Permanent Senior Research Scientist - Data Science & Machine Learning Chelmsford (Hybrid - 2 days onsite per week) £60,000 - £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is … seeking a Senior Research Scientist to join its advanced data and decision science capability. This is a rare opportunity to work at the intersection of cutting-edge AI, machine learning, and statistical signal processing-delivering real impact across domains including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to … the design of next-generation inference algorithms, apply AI/ML to time-series and sensor data, and help shape future technologies in areas such as distributed sensing, autonomy, radar, and RF systems. You'll also have opportunities to collaborate with academic institutions and lead the development of internal IP and demonstrators. What you'll be doing: Leading AI More ❯