1 to 25 of 84 Data Science Jobs in the Thames Valley

Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions … scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a More ❯

Job Description: The Food & Nutrition Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations. You will bring thought leadership in your domain and collaborate with cross-functional teams to implement innovative data solutions that enhance customer experience, drive revenue, and maintain a competitive edge in the digital marketplace. Moving towards One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition goal. We aim to harness data and insights to solve critical business problems and simplify the global data and analytics user experience, unlocking growth and operational … excellence. What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and Azure Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer … goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently … expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research teams across the UK, US, and India. What We’re Looking For Experience in Data Science, with a proven track record of More ❯

Job Title: SC Cleared Data Analyst – Digital Identity Job Summary: We are looking for a data-driven and security-conscious Data Analyst to join our Digital Identity team. In this role, you will work with large volumes of identity, behavioural, and verification data to help improve identity assurance, prevent fraud, and enhance user trust. You’ll … collaborate with product, risk, and engineering teams to uncover insights that drive data-informed decisions and innovations in our digital identity solutions. Key Responsibilities: Analyse identity and account data across secure systems to identify and detect trends, anomalies, policy violations, and access risks. Support the design, implementation, and refinement of RBAC and ABAC models aligned with defence security … cybersecurity, IT, and compliance teams to define access roles, attributes, compliance metrics and policies. Conduct periodic access reviews and support audit and compliance efforts. Automate reporting processes and improve data visualization for stakeholders. Translate complex data into actionable insights to support decision-making. Requirements: Education & Experience: Bachelor’s degree in data science, Computer Science, Statistics More ❯

Role: BI Insights Developer Location: Hybrid (Newport Pagnell and WFH) Salary : £50 - 60K + Employee Benefits Key Skills: Power BI, transform data using SQL, Python, Data analysis, data visualisation, ideally some experience with AI in Analytics, building interactive and dynamic data dashboards. Why Apply: This is a truly great opportunity for someone with a talent for … transforming raw data into interactive and dynamic dashboards to enable valuable insights. Using both conventional and advanced analytics you will be providing a valuable role to our clients enabling them to make data driven decision making. Our Client: Our Client has an impressive story to tell! They are a global consultancy that has enjoyed exponential growth over recent … years and continue to grow organically. Their growing workforce of 1500+ support their international customers to deliver 'Performance Improvement' Consultancy. The Role: You will join a dedicated Insight and Data Analysis team, transforming multiple customers raw data, gathering the necessary data sets and presenting it visually in the form of interactive dashboards for each customer project. Projects More ❯

Role: BI Insights Developer Location: Hybrid (Newport Pagnell and WFH) Salary : £50 - 60K + Employee Benefits Key Skills: Power BI, transform data using SQL, Python, Data analysis, data visualisation, ideally some experience with AI in Analytics, building interactive and dynamic data dashboards. Why Apply: This is a truly great opportunity for someone with a talent for … transforming raw data into interactive and dynamic dashboards to enable valuable insights. Using both conventional and advanced analytics you will be providing a valuable role to our clients enabling them to make data driven decision making. Our Client: Our Client has an impressive story to tell! They are a global consultancy that has enjoyed exponential growth over recent … years and continue to grow organically. Their growing workforce of 1500+ support their international customers to deliver 'Performance Improvement' Consultancy. The Role: You will join a dedicated Insight and Data Analysis team, transforming multiple customers raw data, gathering the necessary data sets and presenting it visually in the form of interactive dashboards for each customer project. Projects More ❯

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Title: Data Science & Insights Specialist - NESO Location: Wokingham, GB, RG41 5BN Warwick, GB, CV34 6DA Cardiff, GB, CF3 2PX Division: NESO Balancing Programmes Job Type: Full Time Requisition Number: 67312 Department: ESO Job Function: Engineering Description: About the role These … days a year - all while prioritising the needs of end consumers. That's why we're seeking an analytical and forward-thinking professional with a strong understanding of data and analysis, and the ability to drive meaningful improvements. Whether you're a seasoned Data Scientist or an enthusiastic Insight Analyst with a knack for developing impactful insights, we … want to hear from you. In this role, you'll work across the NESO data and data science communities, leveraging tools like Azure , Power BI , and Python to develop products that meet the needs of our stakeholders and users. You should have solid experience in data analysis, economic modelling, statistical techniques, or forecasting - with a proven More ❯

SENIOR DATA ANALYST READING UP TO £60,000 Join a fast-moving data-driven company that's leveraging millions of survey responses to generate real-time insights for clients across sectors. This is a high-impact Senior Data Analyst role where your work will directly influence trading outcomes and commercial performance. You'll work closely with Analysts … Scientists, Engineers, and Developers, turning complex datasets into clear actions that drive results. THE ROLE: As a Senior Data Analyst, you will: Partner with Commercial, Data Science, and Engineering teams to uncover key drivers of trading performance. Analyse large-scale datasets from surveys, clients, and 3rd party panels to test fast-evolving hypotheses. Design and automate reporting … processes , bringing visibility to crucial metrics and freeing teams to act on what matters most. Build statistical models and algorithms to detect patterns and opportunities for optimisation. Create compelling data visualisations using Grafana and Power BI to track performance in real time. Communicate complex analytical findings in clear, actionable terms for stakeholders across the business. YOUR SKILLS AND EXPERIENCE More ❯

the field. You’ll be joining one of Europe’s best-funded AI research centres , collaborating with top talent, including those from the likes of Google DeepMind , to build data infrastructure that powers AI solutions across a number of industries and use-cases. Why this role? Tangible, impact-driven work that tackles real-world issues An elite team where … you’ll work alongside AI pioneers & industry leaders Top compensation – the firm is matching or beating UK-based competitors’ salaries Your responsibilities Building scalable, high-performance data platforms that support AI research and large-scale computation. Collaborating with AI researchers, data scientists, and software engineers to ensure seamless data integration and infrastructure reliability . Optimising data … scalability . Developing innovative tools and systems that enable AI-driven initiatives across sustainability, healthcare, robotics, and more . Mentoring team members, fostering collaboration, and driving best practices in data engineering . What you bring: Extensive experience in data engineering, including building and optimising data pipelines and distributed systems using Airflow, Dagster, or Kedro . Expertise in More ❯

About the role Join our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to improve financial decision policies … at scale through the use of production data. What You'll Do Build customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging … services such as Lambda, S3 and SQL. Optimize data warehouse efficiency, conduct peer code reviews, and produce technical documentation. Collaborate with cross-functional teams in an Agile environment to translate business requirements into technical solutions. Requirements Proficiency in Typescript, React and SQL Prior experience in Data Viz/Business Intelligence/Machine Learning or Artificial Intelligence Fluency in More ❯

We use cutting-edge technology to link our clients' systems, departments and sites. We provide an open technology platform that's shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Position Summary We are hiring a AI & Data Science Lead to head our AI Centre of Excellence. This role consolidates responsibilities across Generative AI (GenAI) , traditional Machine Learning (ML) , and early-stage Data Science . You will shape and deliver the technical strategy for our AI initiatives, while also acting as a hands-on engineer, mentor, and leader. You will be responsible for delivering … high-impact GenAI use cases, establishing core AI platform capabilities, supporting a Machine Learning Engineer on classical ML projects, and building the foundation for a future Data Science function. You will also define LLMOps and MLOps practices and ensure the infrastructure is in place to support long-term AI success across the business. Key Responsibilities: Strategy & Leadership Collaborate More ❯

Senior Data Scientist Reading – Hybrid Up to £70,000 About the Role I’m currently partnered with a global leader in data, insights, and consulting who are looking to bring on a Senior Data Scientist to join their highly respected data team. This is a high-impact opportunity focused on yield optimisation – using data science to drive better consistency, forecast accuracy, and operational efficiency. You’ll work closely with both commercial and technical stakeholders to develop data-driven strategies that improve trading outcomes at scale. The team is well-established and growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching … models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and commercial leads to implement models into production systems. Present insights in a clear, impactful way to senior non-technical stakeholders. More ❯

Senior Data Scientist - Yield Optimization Your main focus will be optimizing yield by improving model performance, forecast accuracy, and explainability. Key Responsibilities: Enhance yield and matching models for better consistency and accuracy. Analyze trading data to uncover patterns and opportunities. Develop data-driven strategies for automated, low-risk decision-making. Collaborate with developers and commercial teams to … implement improvements. Communicate technical insights to non-technical stakeholders. Lead full lifecycle of data science projects, from hypothesis to deployment. Drive innovation in 24/7 production environments. Support scenario planning and forecasting for Commercial teams. Ideal Skills: Strong skills in Python, R, statistical modeling, and data tools. Experience in pricing/yield optimization in marketplaces (e.g. … Expertise in forecasting and optimization in discrete choice settings. Agile mindset with strong problem-solving abilities. Familiarity with AWS, Redshift, or Azure. Proficiency in PowerBI and SQL for impactful data storytelling. More ❯

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What … are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience … with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation More ❯

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What … are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience … with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation More ❯

Job Description: We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights. This role is transformation-funded and therefore has an expected end date of 31st December 2026. What … are we looking for? A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience … with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives. What will be your key responsibilities? Lead the architectural design and implementation More ❯

protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat … the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls, authentication … mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. * Provide technical guidance and support to cross-functional teams during the design, development, and deployment of AI/ML systems More ❯

protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat … the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls, authentication … mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. * Provide technical guidance and support to cross-functional teams during the design, development, and deployment of AI/ML systems More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Data Engineers - Permanent Opportunity Location Reading: 1-2 days per week A major UK organization is expanding their Data Engineering team to drive forward their ambitious data platform transformation initiative. Are you an experienced Data Engineer ready to tackle complex data challenges at scale? This established organization is building their next-generation Enterprise Data Platform and needs skilled professionals to accelerate their journey toward becoming a data-centric organization. About Our Client Our client operates critical infrastructure serving millions of customers across the UK. They're investing significantly in modernizing their data capabilities, creating a centralized data lakehouse architecture that will transform how they leverage information across the business. Join … their Digital Data division during this exciting period of growth and innovation. Your Role as Data Engineer Design and implement robust data pipelines using Azure Data Factory to integrate operational systems with analytical platforms Analyze business data requirements and create comprehensive documentation following established protocols Transform legacy manual processes into automated, scalable data workflows More ❯

Working as a key member of the Thames Water Digital Data team, the purpose of this Data Engineering role is to help build out the next evolution of the Thames Water Enterprise Data Platform (EDP).The role will collaborate with colleagues from across Thames Water, including our bespoke data product teams, to contribute to the overall … goal of becoming a data-driven organisation with a centralised enterprise Lakehouse at its core. You will therefore assist in the delivery of this vision and play your part in helping take Thames Water toward the next level of data maturity. What you’ll be doing as a Data Engineer Manage the investigation of corporate data requirements, documenting them according to the required standards, utilising the prescribed methods and tools. Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use. Work closely with data architects and data scientists to determine which data is needed for More ❯

Data Scientist – Commercial Analytics (Bookings & ARR) £45,000 + Benefits | Hybrid (1 day/week in Reading office - Flexible) Location: London/Reading Sector: Automotive SaaS | Big Data | Sales Analytics Join one of the world’s leading automotive SaaS providers as they tackle large-scale data challenges across 25+ countries. Keyloop is hiring a Data Scientist … to help make sense of fragmented commercial data, with a focus on sales performance, pipeline analytics, and recurring revenue (ARR) reporting. You’ll be embedded in the team supporting the Sales function, working closely with Finance, IT, and Ops to improve data quality, stability, and decision-making across the business. 🔍 What you’ll be working on: Investigating, reconciling … and legacy platforms Building Python-based tools to identify root causes of reporting discrepancies Supporting Bookings & ARR forecasting models, visualising pipeline trends and sales performance Handling large-scale monthly data validation, error reporting, and reconciliation processes Creating automated, scalable solutions for manual data imports and fragmented system inputs Collaborating across Sales, Finance, and IT to stabilise infrastructure and 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 ❯