26 to 50 of 116 Data Science Jobs in Berkshire

robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning More ❯

global network of R&D and engineering centers across China, the United States, UK, France, Germany, Denmark, etc. to continuously lead global green technology development. Envision Energy joined the Science Based Targets initiative (SBTi) and committed to achieving the "Business Ambition for 1.5°C" in 2021. It has achieved carbon neutrality across its global operations by 2022 and will … the adoption of our platform. Key responsibilities: Technical Solutioning & Discovery (40%) Conduct deep-dive discovery sessions with Executives, IT leaders, and business unit heads to understand their unique challenges, data landscape, and strategic objectives. Architect and propose tailored AI solutions that clearly map our technology to the client's specific use cases and desired business outcomes (e.g., increased revenue … enterprise deals. Own the technical sales cycle, including responding to RFPs/RFIs, addressing security and technical questionnaires, and mitigating competitive threats. Articulate complex AI concepts (e.g., model training, data pipelines, MLOps, LLM fine-tuning) in a clear, accessible, and business-relevant manner to both technical and non-technical audiences. Build and maintain strong, trusted relationships with key technical More ❯

Are you an experienced Data Engineer looking for your next big challenge? Do you have a passion for football? Why not bring the two together? This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Engineer, you’ll join a collaborative, high-performing team with … a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and develop scalable data pipelines and infrastructure that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e … commerce and fan engagement. If you're passionate about using advanced data engineering to drive real-world impact in sport, this is the role for you. Key Responsibilities Architect, design and build scalable and high-performance data pipelines Ensure all systems adhere to best practices for data quality, integrity, and security Integrate modern data engineering tools More ❯

Job title: AI & Data Developer Reports to: Head of AI and Data Location: Hybrid (strong preference for Reading office) Hours: Monday to Friday, 37.5 hours per week Salary: Competitive + BCN benefits About BCN: At BCN we unite people and technology to enable organisations to fly. We believe people and organisations can achieve anything using technology to it … provider and technology consultant, specialising in delivering transformative technology solutions with industry-leading client experience across business, public sector and not for profit organisations. From cloud computing, cybersecurity, and data management to power app development, we are dedicated to pioneering technology with Microsoft innovation. Guided by our 3 values of building relationships, customer success and passion and dedication , we … and people want to work for. We are delighted you are on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

Senior Data Scientist Consultant – London | Hybrid Who I’m looking for You’re an experienced consultant who thrives on solving complex client challenges through data, analytics, and technology. You’re confident operating in ambiguous environments, bringing structure, clarity, and insight to every engagement. You combine deep technical expertise with strong communication skills — able to translate complex analytical findings … into clear, actionable recommendations for clients. You build trust quickly, are commercially aware, and enjoy working at the intersection of data science, strategy, and innovation. You’re equally comfortable presenting to senior stakeholders, mentoring junior team members, or getting hands-on developing prototypes and scalable analytical solutions. What you’ll be doing Leading client engagements as a trusted … learning. Translating client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering More ❯

Data Scientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London/Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision … on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position … on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs … build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to More ❯

Role: Senior AI/ML Scientist – Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define … Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to … extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across More ❯

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition London office hybrid 3 days per week Salary negotiable dep on experience to £90,000 + stock options Job Reference J13004 Please note this client is unable to offer sponsorship so please ensure you have full UK working rights. Measure Protocol are looking for a smart, creative and dynamic Senior … Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company. At Measure Protocol, they believe in building a team of true owners. That’s why they offer stock options to all employees as part of their compensation package, so you share in the value you help create. As … you a real opportunity to participate in the upside of something meaningful from the ground up. About Measure Measure is building the world’s first ethical and transparent human data marketplace. The world we live in is awash in data: what we watch and wear, who we know, what we do, and how we live our lives. Unfortunately More ❯

Data Scientist - Year in Industry Programme 2026 Starting salary £23,500 + plus benefits and welcome bonus Office based in Aldermaston, nr Reading, Berkshire. We are offering a rewarding and exciting one-year placement as an Undergraduate Data Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and secure. Entry … Requirements We are interested in applications from candidates working towards a degree in: Computer Science, Forensics, Physics, Chemistry, Maths Before starting with the business, you will need to be able to provide evidence that you have attained a minimum of a 2:2 in your degree so far by August 2026. You must be able to Join AWE in … All of these mission areas involve the collection and analysis of large, complex datasets often spanning a number of scientific techniques. This project aims to investigate the use of data science techniques to contribute to the analysis and understanding of the data that is gathered in support of the NTR mission. Joining the team as an undergraduate More ❯

Year in Industry- Data Scientist - Aldermaston, Berkshire, RG7 4PR Job Type: Full-TimeSalary: Up to £23500 per annum + plus benefits and welcome bonus Data Scientist Year in Industry Programme 2026 Starting salary £23,500 + plus benefits and welcome bonus | Office based in Aldermaston, nr Reading, Berkshire. PLEASE NOTE WE CAN ONLY ACCEPT ONE APPLICATION PER CANDIDATE … PER YEAR. ANY DUPLICATE APPLICATIONS WILL BE WITHDRAWN. We are offering a rewarding and exciting one-year placement as an Undergraduate Data Scientist at AWE - a role where you will make a genuine contribution to keeping the UK safe and secure. About AWE We're a team of remarkable people, united by one extraordinary mission: keeping the UK safe … and that of our NATO allies. Our work is critical. We're delivering Astraea, the next warhead for the UK's nuclear deterrent and pushing the boundaries of nuclear science and technology. But that's just part of the story. We support the UK government in a range of vital areas - from counter-terrorism to global nuclear test monitoring More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Global Head of Data Engineering | Base Salary & uncapped Bonus | London | Permanent Industry: Trading/Commodities Location: London – Hybrid (4 days in office) Job Type: Permanent Our client is seeking a Global Head of Data Engineering to oversee the development and optimisation of their enterprise data platform in a front office trading environment. You’ll lead a distributed … team of data engineers, ensuring the seamless ingestion, management, and delivery of high-quality market, economic, and commercial data to power trading, research, and operational decision-making. What You’ll Do: Lead and manage a global team of data engineers, providing mentorship and direction. Oversee the design, build, and ongoing enhancement of an enterprise data platform … on AWS. Develop and scale robust ETL/ELT pipelines for the ingestion of financial market, commodity, and commercial datasets. Deliver new data products and services for traders, analysts, and operational teams. Implement and maintain data quality frameworks and best practices. Collaborate with front office users, including traders and research analysts, to understand data requirements. Partner with More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely … of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively … with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

a pivotal stage. What you’ll be doing: Design, build, and deploy Large Vision Models (LVMs) to enhance customer experiences, improve workforce efficiency, and boost product performance. Collaborate with data engineers to gather, preprocess, and curate large visual datasets, ensuring robust and high-quality data pipelines. Optimise model architectures and tune hyper parameters to maximise throughput while maintaining … to date with the latest machine learning and computer vision advancements, applying new techniques to strengthen solutions and drive innovation. Main Skills/Requirements: Master’s degree in Computer Science, Data Science, or a related field — or equivalent practical experience, with a strong focus on machine learning Over 5 years of experience deploying computer vision models in … techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly desirable Proficient in SQL and skilled in working with large-scale datasets for data processing and manipulation How you’ll be rewarded: Share Options Competitive Benefits Opportunity to join a leading start-up This is an excellent opportunity for an experienced Lead Computer More ❯

We are looking for a data scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD … is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you want to work on * You can work on your own schedule * Projects are paid hourly … mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required More ❯

Senior Data Scientist | Data, Python, Science Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have … the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform. For this position, they are looking for applicants with the following skillset: A passion for clean data/statistics At least 3 years’ previous experience as a data scientist Python skills/experience Comfortable in … personal development budget Transport contributions Flexible working hours A great list of perks in a brand-new office (when you are in the office) If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Our client is looking for a seasoned analytics leader to head it's global Product Analytics function. You will define the vision, scale a high-performing team, and ensure data-driven insights drive product strategy and business growth. This role requires a mix of technical depth, leadership excellence, and the ability to turn data into clear, actionable narratives … for senior stakeholders. Key Responsibilities Team Leadership & Growth Lead and expand the Product Analytics team across multiple domains and global locations. Hire, coach, and develop analysts into effective data storytellers who deliver actionable insights. Foster a culture of ownership, collaboration, and high performance. Analytics Strategy & Execution Define and execute the analytics strategy, making data a competitive advantage. Partner … with senior leadership to ensure analytics directly influence business and product direction. Manage project intake, prioritize initiatives, and allocate resources against strategic priorities. Data-Driven Insights & Enablement Define and maintain critical business metrics to track performance and inform decisions. Design and run experiments, build dashboards, and create visualizations that communicate results at scale. Provide technical mentorship on advanced analytics More ❯

Junior Data Scientist – Sport & Data Analytics 📍 London (Hybrid) Are you passionate about sport, data, and innovation ? This is an exciting opportunity to join a global sports organisation that’s using analytics to shape performance, marketing, and commercial strategy across international events. You’ll work closely with senior stakeholders to turn data into insight - building dashboards, validating … key datasets, and supporting decision-making across finance, marketing, and operations. We’re looking for someone who: ⚙️ Has 1-4 years’ experience in data science or analytics 🐍 Is confident using Python and SQL 📊 Can visualise data in Power BI or Tableau 💡 Communicates complex insights clearly to non-technical teams 🔥 Brings curiosity, creativity, and a genuine passion for … tech organisations ✨ Perks: Private healthcare, 25 days’ holiday + Christmas break, flexible hours, and complimentary access to global sporting events This is a great fit for an early-career data scientist or analyst who wants to see their work have visible impact in the world of sport . How to Apply: Please apply with your most up-to-date More ❯

Specialist Location: Slough Visa and Relocation support is offered with this role. Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, theres no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we … lead the development and implementation of robust Lab/digital infrastructure within our R&D laboratories for the UK and US locations. This is pivotal in enabling efficient, automated data exchange between laboratory instruments and enterprise informatics systems such as Electronic Lab notebooks (ELN)s, Laboratory Information Management Systems (LIMS) and other relevant data setups. The ideal candidate … Design, implement, and maintain secure, scalable IT/OT interfaces between lab instruments (e.g., bioreactors, plate readers, liquid handlers) and informatics systems (ELN, LIMS, SDMS, etc.) Collaborate with IT, Data science and scientific teams in R&D to identify integration needs and define architecture for real-time or scheduled automated data transfer. Develop or configure middleware, APIs More ❯

Data Scientist - Skip Rates Location: Wokingham (Hybrid - 2-3 days per week on site) Contract: Initial 6 months (Full time) Day Rate: From £650 per day (via Umbrella) About the Role Our client, a leading organisation at the heart of the UK energy system, is seeking an experienced Data Scientist to join their Skip Rate Team within System … skip rates within the Balancing Mechanism. You'll play a key role in analysing and modelling large datasets to identify the drivers of skips, developing monitoring tools, and supporting data-led solutions that enhance system transparency. You'll collaborate closely with operational experts, data specialists, and external stakeholders across the wider energy market to ensure fair, consistent, and … data-driven outcomes. Key Responsibilities Analyse and model large datasets to identify factors influencing skip rates. Develop and enhance methodologies, tools, and reporting processes. Use data insights to drive consistency and transparency in dispatch operations. Present findings clearly to technical and non-technical audiences. Support wider transparency and engagement initiatives across the organisation. About You Strong analytical and More ❯