176 to 200 of 299 Data Science Jobs in the Thames Valley

taking care of our planet. Join us and help shape the future of agriculture. Job Description At Syngenta Crop Protection, there has been significant focus and investment in predictive science and digital transformation, revolutionizing research and development for sustainable food production. We have recently developed PRIME, a cutting-edge predictive modelling platform, and we are seeking a talented individual … to lead its success. As the Modelling Platform Science Lead, you will provide strategic direction, guide technical and scientific governance, and bridge the gap between the R&D expert modelling community and R&D IT. Your role involves supporting diverse modelling communities across R&D, identifying new opportunities for model deployment at scale, and exploring new technologies for model … building and validation. You will be accountable for the overall success of the platform, providing strategic direction and guiding technical and scientific governance aspects. If you are passionate about science and innovation, with expertise in data science and predictive modelling, join us and become part of a dynamic network of data science practitioners contributing to More ❯

lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an Associate Director, Clinical Data Management who can lead and oversee end to end Clinical Data Management activities on assigned … studies and programs. You’ll also play a critical role in the management of all the 3rd party data sources and serve as SME for Data Management. You’ll be responsible for leading and delivering initiatives for CDM within the Biometrics group. You’ll also be proactive and be keen to collaborate with cross functional groups within the … Clinical Development organization and larger Data Science teams at Recursion. Daily, you will be responsible for all the CDM study activities and deliverables, document reviews, oversight of CRO’s, timelines and project risk management. You can expect to work on multiple projects at the same time in a fast-paced and exciting environment. In this role, you will More ❯

Social network you want to login/join with: Job Title: Senior Data Scientist (AI & ML) Location: London hybrid About the Company: A super interesting start-up that is on a mission to take on some of the most complex challenges in the field of predictive models, fraud detection, and AI-powered insights. What You’ll Do: As a … Senior Data Scientist, you will own the product and lead the development of AI features. You’ll be a hands-on “do-er” who’s comfortable rolling up your sleeves and executing. This role is ideal for an individual who excels at building, optimising, and deploying machine learning (ML) models, and enjoys working with large datasets and cutting-edge … technologies. You’ll be responsible for: Building and optimising machine learning models using NLP and graph vector DBs Leveraging big data efficiently to create actionable insights Working with large documents, data infrastructure, and containerization Investigating fraud and ethics reports, transforming raw data into meaningful insights Developing predictive models that go beyond the basics, focusing on real-world More ❯

s largest players in payments, this company is causing the biggest change to how businesses access card payments in over two decades. Role overview As the company's first data hire, you’ll be tasked with designing, building and owning their data stack. You’ll also be responsible for applying your expertise in quantitative analysis to understand how … their users behave. Your insights will feed into data products that you’ll own, as well as into the wider product strategy. Reporting directly to the CTO/founder and working alongside the founding employees, you'll have a huge impact on the business from day 1 - you'll get to experiment and built innovative products at pace & scale … Must have requirements: Wide breadth of data experience, with a solid foundation in Data Science Obsession with data - we're looking for inquisitive people, passionate about crunching analysis and discovering unobvious patterns Experience designing, building and maintaining end to end data stacks (data pipelines, data infrastructure, data warehousing etc.) Experience working in More ❯

Senior Product Director, Data, Martech & Experimentation (Viator) United Kingdom, Portugal, Poland Senior Product Director, Data, Martech & Experimentation Viator About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore-everything from simple tours to extreme adventures-making memories … memorable experiences wherever they go. As the largest marketplace of our kind, we enable millions of travelers to book more than 300,000 tours, activities, and experiences worldwide. The Data, Martech & Experimentation team is at the heart of Viator's ability to scale, drive customer satisfaction, and optimize operations through data-driven, AI-powered, and highly efficient platforms … . We are looking for an experienced Senior Director of Product to lead our internal platforms across Data, Machine Learning, Experimentation, Martech, and Customer Service . This role has the option to work from one of our European offices (Oxford, London, Lisbon, or Krakow) or to be fully remote with regular travel to offices for collaboration. What You Will More ❯

Social network you want to login/join with: Time Series Data Scientist (Contract), slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: We're hiring a contract Data Scientist to lead the development of … Work across multiple temporal resolutions (daily, weekly, monthly) Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment SQL GCP (BigQuery, Cloud Functions) Requirements Proven expertise in time series forecasting at multiple projects More ❯

days/week in-office) A leading digital marketing consultancy is seeking a Marketing Analytics Consultant to join their expanding team. This is a fantastic opportunity for a data-driven professional to work across analytics, data science, and digital strategy in a client-facing, high-impact role. The Opportunity You'll be part of a forward-thinking … shape the development of innovative solutions while collaborating with internal specialists and client partners. Key Responsibilities Drive client success by contributing to commercial KPIs and showcasing the value of data-driven marketing. Design and implement advanced analytics and data science solutions (including AI/ML) to solve business challenges. Translate data into insight - turning complex analysis … partnerships - identify opportunities to expand solutions and drive client growth. Support internal development - mentor junior team members and contribute to thought leadership. Collaborate across regions with analytics, implementation, and data science specialists. Ideal Candidate Profile Strong experience across analytics and statistical modelling Technical experience in SQL/Python, GA4 and Data Visualisations Proven client-facing and project More ❯

EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI … forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios Applying causal and graph-based methods to understand and optimise customer behaviour Working across the full stack of data science, from data wrangling to deployment Operating within a modern MLOps setup (Docker, CI/CD, AWS) What We're Looking For: Strong practical knowledge of deep … learning fundamentals - ideally with PyTorch Experience building bespoke models for time series, tabular, image, or text data Hands-on forecasting experience with retail or consumer datasets Skilled in causal inference, graph AI, or reinforcement learning Comfortable deploying models in production environments Strong communicator, able to clearly explain technical choices and trade-offs Nice to Have: Prior work in a More ❯

Date: 01.08.2025 col-wide Job Description: NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science applications to work with our Hyperscalers partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest breakthroughs … from working on proof-of-concept demonstrations, to driving relationships with key technical executives and managers to evangelize accelerated computing and Generative AI. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of challenges and solutions. What You … concept evaluations Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures What We Need to See: MS/PhD or equivalent in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields 3+ years of academic and/or industry experience in fields related to machine learning, deep More ❯

Looking to advance your career in Product Management? About our Team Elsevier's Science, Technology, and Medical Journals (STMJ) division handles over 2,000 journals. Our Customer Experience & Innovation (CE&I) team combines strategic insights with innovative solutions to meet researchers' and clinicians' needs. We create best practices for trusted publishing and deliver a seamless customer experience. About the … is based in London or Oxford , with regular travel to Oxford, and will be part of our Customer-Centric Innovation Center of Expertise. You'll work closely with Technology, Data Science, and Data Analytics teams, as well as integrity and ethics experts, who are the main users of the tools. You'll help build a modern, scalable … workflows You'll grow trust and build alignment with stakeholders across Technology, Operations, and Publishing . You will help shape a product culture that embraces experimentation, customer insights, and data-informed decisions. You will contribute to delivering a trusted publishing experience and support millions of global researchers. Responsibilities Develop and implement tools for internal investigations in ethics and integrity More ❯

create a start of the art user experience for article publication. You will grow trust & build alignment with stakeholders in Technology, Operations and Publishing. You will contribute to our data-driven, innovative culture for our digital submission products and services. You will ensure authors return to Elsevier for the best experience from submission to trusted publication. Responsibilities Data-driven product development by driving the definition, tracking, and operationalizing of feature-, product-, and company-level metrics. Applying data, including effective use of KPIs and OKRs, to drive commercial decisions and growth opportunities for the product. Driving key end-to-end lifecycle components, from planning to release. Working with external product management to develop product vision and roadmap … of changes to our product. Requirements: Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike. Have delivered products and/or services with data science needs and capabilities. Experience contributing to commercialised features or products, from understanding user needs to conceptualization to execution to post-release management. Experience in a quantitative role More ❯

leading flexibility and last-minute availability, it's never too late to make any day extraordinary. Viator. One app, 300,000+ travel experiences you'll remember. The demands for Data Science and Machine Learning are experiencing rapid growth, demanding an enhancement of our Machine Learning Platform's capabilities. To address the increasing traffic and deliver cutting-edge solutions … to join and support Viator's growth. This role is a hybrid position based in our London or Oxford office. What you'll do: Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a … many cutting edge technologies around Machine Learning Platform, as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by More ❯

Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight timelines Familiarity with cloud-based platforms and … enterprise AI infrastructure (e.g., Azure, GCP, AWS) Comfortable navigating AI governance, legal, and compliance frameworks while delivering innovative solutions Strong communication, facilitation, and stakeholder engagement skills Data-driven mindset with experience defining success metrics, tracking KPIs, and applying user insights to optimize products Experience with user-centric delivery approaches such as agile, lean startup, and iterative prototyping Key Mars … full product lifecycle for GenAI solutions, from ideation and prioritization to deployment and iteration, ensuring alignment with business goals and platform capabilities. Cross-Functional Orchestration : Partner with business stakeholders, data science teams, developers, and platform operations to translate user needs into scalable, governed GenAI products. Backlog & Roadmap Ownership : Maintain and groom a dynamic backlog of GenAI use cases More ❯

Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight timelines Familiarity with cloud-based platforms and … enterprise AI infrastructure (e.g., Azure, GCP, AWS) Comfortable navigating AI governance, legal, and compliance frameworks while delivering innovative solutions Strong communication, facilitation, and stakeholder engagement skills Data-driven mindset with experience defining success metrics, tracking KPIs, and applying user insights to optimize products Experience with user-centric delivery approaches such as agile, lean startup, and iterative prototyping Key Mars … full product lifecycle for GenAI solutions, from ideation and prioritization to deployment and iteration, ensuring alignment with business goals and platform capabilities. Cross-Functional Orchestration : Partner with business stakeholders, data science teams, developers, and platform operations to translate user needs into scalable, governed GenAI products. Backlog & Roadmap Ownership : Maintain and groom a dynamic backlog of GenAI use cases More ❯

Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight timelines Familiarity with cloud-based platforms and … enterprise AI infrastructure (e.g., Azure, GCP, AWS) Comfortable navigating AI governance, legal, and compliance frameworks while delivering innovative solutions Strong communication, facilitation, and stakeholder engagement skills Data-driven mindset with experience defining success metrics, tracking KPIs, and applying user insights to optimize products Experience with user-centric delivery approaches such as agile, lean startup, and iterative prototyping Key Mars … full product lifecycle for GenAI solutions, from ideation and prioritization to deployment and iteration, ensuring alignment with business goals and platform capabilities. Cross-Functional Orchestration : Partner with business stakeholders, data science teams, developers, and platform operations to translate user needs into scalable, governed GenAI products. Backlog & Roadmap Ownership : Maintain and groom a dynamic backlog of GenAI use cases More ❯

growth of the portfolio (e.g. R&D teams, Legal, Operations, Risk Management) Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements. ABOUT YOU EXPERIENCE & QUALIFICATIONS Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related; 4 years of significant experience minimum (post graduation) in data science or related; As a plus: track record of experience in leading a (small) team and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background More ❯

product area, ensuring they are valuable and viable, delivering meaningful outcomes that are aligned with corporate strategy and goals.Your Role:In this role, you will initially concentrate on enhancing Data Discoverability across Elanco, focusing on how to make data easy to find, easy to understand, and securely accessible to consumers from across Elanco, leading the way in enabling … discovery process by engaging with customers and users to validate product concepts.+ Application of product discovery principles, competitive research, collaboration techniques, usability testing, A/B test design, and data analysis, and metrics tracking.* Product Optimization:Enhance the value of existing products by defining minimum viable product features and removing low-performing features based on thorough research.* Technical Proficiency … desire to continuously learn, embracing and sharing modern concepts, techniques, technologies, etc.What You Need to Succeed (minimum qualifications):* Educational Background: Bachelor’s degree in a relevant field (e.g., computer science, data science, business).* Required Experience: 10+ years technology experience* Learning Agility: Demonstrated ability to quickly learn new business domainsWhat will give you a competitive edge (preferred More ❯

Social network you want to login/join with: Role: Senior Product Manager (Data Foundations) Location: London (2-3 days per week in our Holborn office) Employment Type: Full-time, as an employee Prosapient is a global Expert Network firm. We provide clients with rapid access to high-quality, relevant expert insights through a combination of world-class client … of the UK's fastest growing and most successful female co-founded businesses. At proSapient, we’re building the foundations of next-generation expert intelligence. As we grow our data capabilities, we’re looking for a data-savvy product leader to shape how proprietary and third-party data powers our platform. From driving integrations to building scalable … pipelines, you’ll play a central role in turning raw data into meaningful, actionable insights that enable faster, smarter decisions for our users. The key focus of the role includes: · Owning our data foundations product domain end-to-end: setting vision, defining strategy, and delivering tangible impact to deepen the breadth and quality of our data. · Championing agile More ❯

dedicated to pushing the boundaries in software-derived performance, both within embedded BMS and cloud-based domains. We believe in the combination of expertise in electrochemistry, battery systems and data science to build products that empower our customers to unlock the full potential of their battery assets. How do we work: Our work culture is built upon collaboration … to maximize impact. Collaborate with Cross-functional Teams: Work closely with sales and product teams to ensure marketing efforts are aligned with business goals, customer needs, and product launches. Data- Driven Decision Making: Use data and analytics to drive decisions, measuring the success of campaigns through KPIs, and adjusting strategies accordingly to improve performance. Budget Ownership: Manage and … optimize the marketing budget, making data-informed decisions to allocate resources effectively and ensure the highest possible ROI. Customer & Market Insights: Stay close to the customer and the market. Use feedback, data, and research to inform marketing strategies and stay ahead of trends. Growth Mindset: As we scale, you will have the opportunity to shape and evolve the More ❯

Scrum frameworks with exposure to DevOps in real-time projects. It would also be great if you had a 2:1 or higher in a numerate subject like Mathematics, Data Science, or Physics, along with experience in Scaled Agile and DevOps environments, particularly within the Public Sector or Defence, but this isn't essential! The chosen candidate will More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some More ❯

challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What you bring: Experience within a startup More ❯

with a strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a product manager. Background in startups More ❯