26 to 50 of 87 Data Science Jobs in Slough

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 ❯

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 ❯

skilled software developer to help the engineering team refactor the ‘research-level’ code into production-ready code. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI). You will work closely with the Data Science … support seamless integration with their pipelines and clearly document all your work. Essential requirements: - Minimum 3 years professional software development experience - Expert proficiency in Python in software development and data science/processing - Strong working knowledge of R - Proven experience in refactoring "research-level" code into production-ready software - Proven experience of collaborating effectively in cross-functional team 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 ❯

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 ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and 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 ❯

Senior Product Designer - £80,000 - Data & Analytics - London A leading data and analytics organisation is seeking a Senior Product Designer to help shape the next generation of data-driven insights products. This role offers the opportunity to transform complex data into intuitive, visually engaging experiences that empower businesses to make smarter, evidence-based decisions. The Senior … Product Designer will take end-to-end ownership of the design process - from research and concept creation to prototyping and delivery - working at the intersection of data, design, and technology. Collaborating closely with product managers, engineers, data scientists, and analysts, this role will play a pivotal part in defining how users interact with analytical tools and visualise information … at scale. Key Responsibilities Lead the design strategy for products focused on data analytics, insights, and performance benchmarking. Translate complex datasets into clear, engaging, and interactive user experiences. Own the full design lifecycle - from discovery and user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data More ❯

BuzzFeed UK, Tasty, Seasoned and HuffPost UK. The additional brands echo the existing business ethos and allow for increased audiences and a further strategic diversification of revenue streams. The Data & Marketing Department The Data & Marketing department is the intelligence powerhouse of the business, representing the customer. Our goal is to inspire, engage and grow a loyal readership by … harnessing data-driven insights and innovative marketing to deliver personalised, impactful content experiences that builds lasting trust, diverse revenue streams, and a thriving future for quality journalism. The department consists of four teams: Data Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing. Job Purpose As The Independent continues to evolve as a data … Head of Customer Analytics is needed to lead the development and growth of our Reader Revenues (Customer Marketing) propositions and Anonymous-to-Known (A2K) strategy for collecting first-party data in the UK, US and ROW. This role spans our reader subscription base, as well as those who contribute and our registered user base, and will be critical in 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, there's 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 … 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 ❯

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯

Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking … vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science …/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. The Responsible AI team is More ❯

Our platform simplifies all administrative tasks, allowing entrepreneurs and small business owners to manage their business admin effortlessly and without the usual complexities. By harnessing cutting-edge technology and data analytics, coupled with outstanding customer service, we provide a seamless experience that emphasises simplicity, efficiency, and rapid execution. Our goal is to remove obstacles, enabling you to achieve success … fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient data structures, query performance, and reliability. Full-Stack Development: Develop responsive and performant front-end applications using ReactJS, focusing on UX/UI best practices. … quality solutions on schedule. Continuous Improvement: Stay ahead of industry trends, introducing innovative tools and technologies to enhance development efficiency. Qualifications and Key Skills Education: Bachelor’s in Computer Science or related field from a Tier 1 university. Experience: Minimum of 4 years of full-time professional experience in software development, with strong expertise in TypeScript, ReactJS, and Next.JS. More ❯

Data Scientist – Climate & Energy Tech | London (Hybrid) Are you a Data Scientist who loves seeing your work in production? A fast-growing startup is building the software backbone of a decarbonised energy future — and they’re looking for someone who wants to use data and code to make a tangible impact. Their platform intelligently shifts energy use … code and ship fast • Design and deploy models for prediction and real-time optimisation • Collaborate cross-functionally — from Figma prototypes to live deployments If you’re ready to use data science to fight climate change while building cutting-edge tech, this is the role for you. 👉 Apply now and be part of the energy transition. More ❯

DATA SCIENTIST/SENIOR ANALYST UP TO £80,000 HYBRID – 3X A WEEK IN LONDON ABOUT THE BUSINESS This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK’s transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of … by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide. THE TEAM You’ll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning … data into actionable insight. This is a collaborative environment where data is central to decision-making — the executive team are highly engaged and see analytics as critical to the company’s success. You’ll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK. THE ROLE This More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take ownership of … quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement and maintain … automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking For 2+ More ❯

Senior Data Scientist Up to £80,000 Join a Brand Equity start up that partners with leading CPG and retail brands better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and … computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a key role in standardising AI into a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency More ❯

in AI? We’re looking for a driven and detail-oriented Machine Learning Engineer to join our hybrid-working team in London. You’ll collaborate with talented engineers and data scientists to build and deploy intelligent systems that transform unstructured data into actionable insight. You’ll be joining a fast-growing AI company developing automation solutions that extract … meaning from emails, documents, and other unstructured communications — turning them into structured data and insights that drive real business decisions. Our technology powers next-generation AI workflows for enterprise clients across sectors like finance and professional services. This is an exciting opportunity for a recent graduate or early-career professional with up to one year of experience who’s … world challenges. In this role, you’ll: 🧠 Design, train, and evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties … a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior or Lead Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts More ❯