1 to 25 of 59 Permanent Data Science Jobs in Slough

As people increasingly move across channels and platforms, Kantar Media’s data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we have the world’s fastest growing cross-media measurement footprint, underpinned by versatility, scale, technology and expertise, to … drive long-term business growth for our clients and partners. Job Title: Data Analyst Location: London Work pattern: Full time/Permanent/Hybrid working #LI-Hybrid #LI-EH2 #LI-KantarMedia This is a full-time permanent position, based in our London office. We operate a hybrid working arrangement and require a minimum of 2 days in the office. … legal right to live and work permanently in the UK, without requiring VISA sponsorship now or in the future. Role Description: Reporting to the Barb Research Director, the Dovetail Data Analyst will work to deliver on Barb’s vision of an inclusive, audience-centric TV and video measurement that extends the scope of total viewing across content and advertising. More ❯

Trainee Data Scientist - No Experience Required Are you looking to kick-start a new career as a Data Scientist We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be … pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all … the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data More ❯

Make your mark for patients We are looking for a Data Science Lead, Research Analytics who is creative, curious, and collaborative in our Global Data Science & Analytics team, basedin our Brussel office in Belgium OR Slough . About the role As a Data Science Lead in Research Analytics, you'll drive analytics solutions that … inform compound and antibody discovery for early drug platforms. You'll apply data science and machine learning to diverse datasets-imaging, gene expression, high-throughput screens, and sequencing (e.g., mRNA display)-to identify initial hits and establish early structure-activity relationships. Your work supports the organization's Digital Business Transformation and spans modalities including small molecules, peptides, biologics … interdisciplinary teams. Who you'll work with Internally, you will collaborate with relevant stakeholders in function areas such as Discovery Biology, Translational Biology, Computational Chemistry, Protein Sciences and fellow data science teams & IT.Externally, you may work with academic institutions and partner with other biotech or technology companies. What you'll do Lead platform development of novel modalities such More ❯

Junior Data Scientist – Master’s Graduate Role Location: London (Hybrid) Salary: £40,000 – £45,000 + Bonus + Benefits Start Date: ASAP About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. … to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing … and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating More ❯

Data Science Manager London (2–3 days per week) Up to £120,000 A leading e-commerce brand in the circular economy space is seeking a hands-on Data Science Manager to scale its pricing and optimisation capabilities across UK and US markets. The business is committed to sustainability and innovation, operating across direct-to-consumer … re on a mission to reinvent how pre-owned products are bought and sold. This is a role, balancing individual contribution with team leadership. What You’ll Do Lead data science projects focused on pricing optimisation and revenue management. Manage and mentor a small international team of data scientists (UK and US based). Build statistical and … outcomes. Develop and run rigorous experimentation frameworks (A/B, MAB, causal inference). Work cross-functionally with engineering, product, and commercial teams to deliver real-world impact. Lead data strategy for pricing across inbound and outbound flows. What We’re Looking For Proven data science experience, ideally focused on pricing and revenue optimisation. Proven leadership in More ❯

DATA SCIENTIST LONDON (HYBRID - 3 Days Per Week) UP to £60,000 COMPANY: This company is a global leader in Customer Data Science, who work across customer analytics and loyalty working as a consultancy services giving you’re the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join … their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand, troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are … monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate … about impactful data work and modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to More ❯

with approved vendors—to align on business needs, define use cases and develop implementation plans as part of overall product roadmap. Collaborate with team-members (software engineer, ML engineers, data engineers, product owners, etc.) in design reviews and critical feedback sessions to continuously improve product delivery Partner with and influence stakeholders across the insights & analytics space and in the … broader Tech/Data science organizations in the development of the data architecture and data/AI solution framework. Ensure all solutions are developed in alignment with Responsible AI governance processes and in alignment with local legislation for data privacy etc. Basic Qualifications: First and foremost, you will be enthusiastic and energised about data … and be driven to share that knowledge and excitement with others. In addition: Master’s Degree in a STEM subject and experience in a related field i.e. MBA, Statistics, Data Science or equivalent experience (Mathematics, Information Science, Computer Science, or similar) Hands on experience with Generative AI (GenAI) Proven experience of effective stakeholder management and strong More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you … in credit, fraud and pricing modelling. Advanced skills in Python, SQL, and ML frameworks. Proven ability to design, deploy, and monitor models in production. Leadership experience - mentoring or managing data science teams. Confidence in regulated environments: model governance, monitoring. Excellent communicator who can influence senior stakeholders. The Opportunity Lead and develop a small data science team. More ❯

Data Scientist Salary: £55-70k plus attractive bonus on top Location: London or Leeds (hybrid working, if preferred) About us We have an exciting opportunity for a Data Scientist to join our rapidly growing Sports Forecasting & Analytics company. Purpose of the role As a Data Scientist within the Modelling & Data Engineering department, you will play … and ensure our forecasts remain accurate, low-latency, and aligned with client demands. You will be expected to use your programming, analytical, and mathematical skills to extract insights from data, build high-performance modelling pipelines, and help improve modelling practices across the business. This role is ideal for someone with a strong foundation in data science who … sports forecasting and pricing across various markets. Extract actionable insights from large-scale sports datasets using sound mathematical and statistical principles. Translate modelling requirements and business objectives into effective data science solutions, working closely with the Delivery Manager and Engineering teammates (Software and Data Engineers) within your modelling team. Perform data cleaning, exploratory data analysis More ❯

our newest ventures is Para – an all-in-one digital twin solution that leverages artificial intelligence, state-of-the-art IoT and smart devices, 3D visualisation platforms, and extensive data analytics to empower clients to generate more value out of their assets. Para is a fast-growing and ambitious start-up, built on the exceptional experience and technical expertise … projects. As a Project Delivery Manager, you will be a true domain expert, responsible for working with clients to identify use cases and create unique value propositions, mapping out data and technical requirements to deliver to-spec solutions. The ideal candidate has well-rounded experience in managing the deployment of building solutions, including technical and functional knowledge in testing … and commissioning of instrumentation and control systems as well as working knowledge of IoT platforms, data analytics, and cloud solutions. Knowledge of Edge Computing and Digital Twins would be of significant benefit in this role. The role offers exposure to all elements of technical delivery within a flexible and supportive environment, with generous company benefits, and ample growth and More ❯

is looking for a Head of Product Management to lead the shift from bespoke client projects to scalable SaaS products . You’ll take ownership of turning AI/data science models into repeatable, licensable products that deliver real client ROI. With multiple live platforms already in play, this is a chance to shape, scale, and productise solutions … from first-party data. What you’ll do: Own the end-to-end build process for new SaaS products Convert custom tools into repeatable, user-friendly platforms Collaborate with Data Scientists, Engineers & Analysts to productionise AI models Drive usability, simplification, and scalability across 3–4 platforms What we’re looking for: 4–6+ years in product management (AI/… data-driven products) Experience in startups/scale-ups and SaaS transitions Proven track record productising data science models Strong focus on usability and client adoption This role reports directly to the Chief Product Officer, with a clear path to VP of Product. Interested? Apply now — and in your cover letter, tell us about a product you More ❯

Risk Modeller - Catastrophe/Climate/Data Scientist Are you a skilled Risk Modeller ready to drive innovation in climate risk analysis? My client, a purpose-driven tech company in central London, is searching for a talented Catastrophe Risk Modeller to join its research-driven, high-impact team. Why Join? £65k- £85k base + full benefits, 36+ days leave … an industry leader building advanced models to quantify the physical and financial risks associated with climate change. With a diverse, dynamic team based in London, the company combines statistics, data science, and real-world climate observation to help global clients manage and mitigate their climate-related exposures. Its culture is founded on technical excellence, inclusivity, development, and real … rigor Contribute to the design and evolution of a scalable loss modelling framework serving diverse geographies and use cases Work closely with geospatial and financial loss datasets, blending observation data with model output at local to global scales Document models, present results, and represent the team at stakeholder meetings, conferences, and industry events Essential Requirements Demonstrable experience in building More ❯

About the Opportunity: We are seeking a Data Scientist with 4+ years of experience to lead the Data Science team for a fast-growing technology company. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be … Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable … outcomes Measuring and improving platform and product performance through experimentation and analytics What We’re Looking For: 4+ years of experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and More ❯

Thames Water is seeking a Metering Data Scientist to join our Smart Metering Operations Centre (SMOC) in an exciting new role. You’ll have the opportunity to work with data from over a million smart meters monitoring, supporting and creating processes to ensure accuracy, integrity, security and accessibility of data in upstream and downstream applications integrated to … the Thames Water Meter data management system (MDMS). What you’ll be doing as a Metering Data Scientist As a Metering Data Scientist at Thames Water, you'll play a crucial role in the SMOC Meter Data Strategy and Insights team. Ensuring that the smart metering programme data processes and pipelines are working efficiently … and accurately. Providing support to the SMOC and Digital IT teams.Key Responsibilities Pipeline Management – Create and maintain robust data pipelines for reliable reporting. Data Analysis & Modelling – Identify trends, forecast water demand, and improve business processes. To align the metering programmes with the wider business priorities. Data Visualisation – Present insights clearly for technical and non-technical stakeholders. Collaboration 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 ❯

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. Data Intelligence & Monetisation The purpose of this team is to understand … opportunities to our core business (editorial, marketing, advertising and ecommerce activities), identifying and validating business expansion opportunities based on insight, identifying and delivering initiatives that generate revenue from our data assets. This role will support the eCommerce function of the business. About You An early-career analyst, comfortable working with data and eager to build your skills in More ❯

positive transition by integrating nature intelligence into business decision-making . As businesses move beyond net zero, nature is the next frontier of sustainability — and we’re building the science, data, and tools to get them there. In a short time, we’ve grown to serve major organisations across the UK, Europe, East Asia, South America, and Australia … join our multidisciplinary team and help shape the models and metrics powering our nature intelligence platform. 🔬 What you’ll do: Develop innovative models and metrics informed by cutting-edge science Translate complex data into clear, actionable insights for customers Collaborate with delivery managers, engineers, and product teams in cross-functional squads Speak with experts across disciplines and rapidly … turn scientific knowledge into scalable solutions Communicate your science in a clear and compelling way to both customers and non-experts 👩 🔬 What we’re looking for: PhD or Master’s with 3+ years’ experience in applied modelling, data science, or spatial analysis Fluency in Python , including geospatial packages Strong communicator, able to distil complex topics for non More ❯

Job Title: Senior Pharmacoepidemiologist – RWE & Data Science Location: London (Hybrid) Salary: £60,000 – £90,000 DOE About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing … and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities Design and analyse non-interventional studies, including regulatory-grade and exploratory projects Collaborate with engineering to build internal tools that support and … scale RWE applications Engage with external partners to guide RWE strategy and deliver high-quality outputs Translate complex data into actionable insights for internal stakeholders and regulators Lead protocol and SAP development, contribute to CSRs and publication strategy Apply modern causal inference techniques to support study validity and robustness Ideal Candidate MSc/PhD in Epidemiology, Pharmacoepidemiology or a More ❯

A global premium lifestyle brand is seeking a Global Data Science Manager (MMM) to lead the development and delivery of marketing performance insights using advanced modelling techniques across global channels. Key Responsibilities: Lead and deliver MMM, MMO, and MTA modelling projects to evaluate marketing effectiveness Present insights and recommendations to senior stakeholders, including C-suite Manage full project … lifecycle: stakeholder interviews, data collection, modelling, and optimisation Oversee data extraction, transformation, and validation using tools such as SQL, Python, and Excel Translate complex analytics into clear, actionable insights and visual storytelling Key Requirements: Proven experience in econometric modelling and marketing analytics Strong understanding of marketing strategy and media planning Experience presenting modelling outputs to senior stakeholders Background More ❯

Overview Make your mark for patients We are looking for a Global Advanced Analytics Data Scientist Lead who is collaborative, adaptable, and impact-driven to join us in our Global Advanced Analytics team, based in our HQ office in Anderlecht, Belgium. About the role You will be working in a team that uses advanced analytics to deliver actionable insights … reduce reliance on primary data, and unlock patient value across commercial, medical, and market access areas. Who you'll work with You will be working in a highly collaborative environment with Global Analytics Leads, Go-to-Market teams, Insight Hubs, and business stakeholders. You'll also interact with external partners, including data vendors and healthcare payors. What you … ll do Lead high-impact analytics projects to answer key business questions Develop, scale, and maintain advanced analytics and artificial intelligence solutions Act as the expert partner for data science in commercial and medical domains Coach and mentor junior team members on analytics tools and communication Build strong partnerships across analytics, IT, and business teams Champion a data More ❯

for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3+ years of experience in a Data Science, Data Analysis, or related role Strong hands-on experience with Python More ❯

Quant Engineer - Data - London OR Dublin - leading trading firm - exceptional comp & bens Our world-renowned client is looking to hire into a varied role at the intersection of technology, data science, and quantitative research. Responsibilities As part of the Quant Engineering and Data team, you’ll sit closely with Researchers, Developers and Traders and collaborate on … a range of technology projects including Research enablement work related to trading activities, using a range of data science, analysis, and engineering skills. Writing, testing, and deploying Python code that creates new model features, analyses complex datasets, optimizes algorithms/quant code, and defines data orchestration. Partnering with researchers in the research development process, and take on More ❯

lives while promoting Audit Quality. As a crucial member of the team, you will collaborate with a talented mix of Cloud & DevOps Engineers, Product Owners/Managers, Solution Architects, Data Engineers, Business Analysts, and Testing Specialists. Together, we build, deliver, and manage a portfolio of truly exciting products. In recent years, our products' size and scale have rapidly expanded … Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement … you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit professionals to create scalable AI systems that improve audit quality, efficiency, and insights. From developing robust proof-of-concepts to deploying enterprise More ❯

DATA PRODUCT MANAGER Up to £100,000 Hybrid | London Are you a hands-on, data-driven Product Manager with experience building scalable customer data products and reusable components? This is an opportunity to join a fast-growing SaaS platform and consultancy business, sitting at the intersection of product, data, and delivery. Reporting directly into the CTO … this role is 80% delivery-focused. You’ll be responsible for turning complex product ideas into scalable, repeatable, and measurable solutions that integrate first-party and third-party data to deliver value for clients. THE ROLE: You’ll own the end-to-end product delivery lifecycle, building data-led products that drive measurable ROI for clients and can … be deployed in a repeatable, scalable way. Working closely with Engineering, Data Science, and Customer Success, you’ll bridge strategic thinking with structured execution. Key responsibilities include: Building customer data products using first-party data overlaid with third-party sources to create segmentation models, clustering solutions, and next-best-action products Translating product strategy into build More ❯