526 to 550 of 1,255 Data Science Jobs in the UK excluding London

Key Responsibilities: Lead and manage the full research lifecycle, including methodology design, data acquisition and analysis, prototyping, backtesting, and performance evaluation. Enhance and refine existing trading strategies to improve performance and robustness. Independently develop and test proprietary trading signals and strategies suitable for deployment. Conduct portfolio optimization and risk management analysis. Apply advanced time series modeling, simulation techniques, and … infrastructure, and overall investment framework. Generate novel alpha signals with a proven track record of success. Qualifications: Master's or PhD in a quantitative discipline such as Finance, Computer Science, Mathematics, Physics, or Engineering. Demonstrated experience researching index strategies. Strong programming skills, particularly in Python; familiarity with data science and machine learning libraries is a plus. Proven … ability to work independently as well as collaboratively within a small, focused team. Desired Skills and Experience Master's or PhD in a quantitative discipline such as Finance, Computer Science, Mathematics, Physics, or Engineering. Demonstrated experience researching index strategies. Strong programming skills, particularly in Python; familiarity with data science and machine learning libraries is a plus. Proven More ❯

whilst challenging existing embedded processes. As a Pricing Analyst, you will use your analytical skills to: Support pricing teams in building and maintain sophisticated models via a range of data science techniques. Monitor pricing performance via automated reporting structures. Enable growth within Motor & Home portfolios. Working in the retail pricing team and closely with underwriting, technical pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Support development of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle & Home accounts. Advance the adoption of data science & statistical … key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in pricing, underwriting and data science. Facilitate automation of repeatable tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data More ❯

whilst challenging existing embedded processes. As a Pricing Analyst, you will use your analytical skills to: Support pricing teams in building and maintain sophisticated models via a range of data science techniques. Monitor pricing performance via automated reporting structures. Enable growth within Motor & Home portfolios. Working in the retail pricing team and closely with underwriting, technical pricing & data science teams, your insight and recommendations will enable improvements to products and prices giving Markerstudy a critical advantage in the increasingly competitive insurance market. Key Responsibilities: Support development of advanced pricing models using a combination of traditional & data science techniques across Private Car, Commercial Vehicle & Home accounts. Advance the adoption of data science & statistical … key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in pricing, underwriting and data science. Facilitate automation of repeatable tasks. Using specialist software to monitor trends and review impact of pricing proposals. Key Skills and Experience: Previous experience in statistical and data More ❯

KTP associate with University of Exeter and SRK Exploration (Cardiff) Mar 17, 2020 This is a rare and exciting opportunity to join an industry-leading Data Science project as the KTP Associate on a Knowledge Transfer Partnership between the University of Exeter and SRK Exploration. The post is available immediately, on a 2-year fixed term basis. It … to personal development. The successful candidate will be employed by the University of Exeter and will be based at the company premises in Cardiff. This project aims to utilise data science capabilities to improve strategic decision making during mineral prospecting. The Data Scientist will be working alongside the Principal Geologist and technical support staff within SRK Exploration … global practices, which provides a range of technical services to the mineral exploration and mining industries. More information about SRK can be found at: . The role of the Data Scientist will be to lead this strategic project, working alongside SRK and leading academics at the University of Exeter to develop and embed innovative data models to revolutionise More ❯

in product management, an understanding of AI technologies, and a strategic vision for creating innovative solutions. As a Product Manager, you will work cross-functionally with Development teams, design, data science, and marketing teams to deliver cutting-edge AI product that solve real-world problems. Responsibilities Define the Product vision and strategy ensuring alignment with business objectives and … market needs. Define detailed product requirements for AI features, working closely with data scientists and engineers to ensure high-quality execution. Help drive the development and integration of machine learning models and AI algorithms into the product. Continuously monitor industry trends, competitor products, and emerging AI technologies to keep the product competitive and innovative. Collaborate with engineering, design, and … data science teams to deliver AI product features from ideation to launch. Work with marketing, sales, and customer support teams to ensure successful product launches, adoption, and customer satisfaction. Use quantitative and qualitative data to inform decisions about product features and prioritize improvements based on customer needs. Education & Experience : Bachelor’s degree in Computer Science, Engineering More ❯

elucidate the pathogenesis of chronic diseases and to use that knowledge to develop pioneering new therapies. We are seeking an innovative and highly skilled AI Scientist to join our Data Science & Genomics team . In this role, you will focus on leveraging foundational AI architectures to analyse spatial genomics and single-cell genomics human disease data to … disease pathology. Your work will directly impact the development of novel disease mechanisms, the selection of therapeutic targets, and the discovery of novel biotherapeutics. You will bring your computer science background and AI/ML expertise to create and shape the development of our AI platform based on analysing large-scale genomics data. What this role will Involve Design … Collaborate with biologists, biotherapeutics discovery teams, and disease experts to align model outputs with meaningful biological insights. What we expect from you Qualifications and Skills PhD degree in Computer Science, Artificial Intelligence, Machine Learning , Computational Biology, Bioinformatics, or a related field. Track record in AI innovation through peer-reviewed publications in method development (e.g., ICLR, NeurIPS, ICML, Nature, Science More ❯

At evoke, we're committed to delivering personalised, data-driven experiences to our customers. We're looking for a Head of CLCM Analytics to lead the way. In this strategic leadership role, you'll drive the analytics that power our customer lifecycle and campaign strategies, using data to unlock insights, optimise targeting, and maximise customer value. Collaborating with … marketing, CRM, and data science teams, you'll play a pivotal role in shaping how we engage, retain, and grow our customer base. What you will be doing Lead a team of onshore and offshore analysts to ensure optimal business support and value creation where possible. Ensure positive engagement of the team through development plans and other means … Work with Director of Commercial and Customer analytics and other senior members of the team to ensure collaboration and transparent communication is happening where required Collaborate with BI and Data Ops teams to ensure development plans are aligned to business requirements Inform new ways to segment and narrate movements in the customer base. Potentially informing a data science More ❯

of a small, agile and growing business. Our client s team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of their company s capability. They are growing this capability and are looking for a highly motivated and capable Senior … clients. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing, presenting, and visualising data. Deriving unique insights from data to inform senior-level decision making. Producing internal and external presentations and reports to summarise processes, findings, recommendations, and decision analysis results. Delivering high quality analysis and outputs. Taking … Experience/Qualifications Senior Defence Analyst: The following skills and experience will enable you to excel in this role: Operational analysis approaches and techniques Advanced Excel skills , including VBA Data analysis and data science Experience working within UK MoD Stakeholder engagement, requirements gathering and process design. A self-starter and team player. Good communication skills, enabling you More ❯

Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and alternative data sources, to extract predictive signals. Employ advanced data science methodologies … that account for various market scenarios and stress conditions. Requirements: Strong academic background: Ph.D. or Master's degree in a quantitative discipline such as Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning … techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative trading strategies, preferably within a global macro context. 3-5 years’ experience in a high-performance trading environment, such as a hedge fund, proprietary trading firm, or investment bank. Due to demand More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI More ❯

to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery and technical problem-solving. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline work for engineers, scientists, and analysts everywhere. That training data begins with … you-we need your expertise to help power the next generation of AI. We're looking for STEM specialists who live and breathe mathematics, physics, chemistry, engineering, data science, computer science, and scientific computing. You'll challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling-documenting … traces, and suggest improvements to our prompt engineering and evaluation metrics. A bachelor's or master's degree in a STEM discipline is ideal; published research, engineering design experience, data analysis projects, or coding portfolios signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your STEM expertise into the knowledge base for tomorrow's AI 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 … to inform product decisions and roadmaps Defining and interpreting A/B tests that help answer critical questions about the impact of changes to our product Close collaboration with Data Science to explore and validate thoughtful application of ai solutions in the editorial workflow Requirements: Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and More ❯

Chief Technology Officer (CTO) to lead the build of a proprietary prop trading platform from the ground up. The company is developing an AI-powered system that merges advanced data science, algorithmic trading, and intuitive interfaces to drive next-generation financial strategies. The Role As CTO, you'll define and execute the technology roadmap, architect the entire platform … secure, scalable, and intelligent trading system from scratch. Key Responsibilities Lead the end-to-end architecture and development of a greenfield trading platform Oversee integration of real-time market data, broker APIs, and strategy deployment via a custom DSL Build interactive trading interfaces (React/TypeScript) Drive DevOps, CI/CD, cloud infrastructure (Azure preferred), and cybersecurity Hire, mentor … and audit readiness What We're Looking For 10+ years in tech leadership, with 5+ in fintech, trading tech, or AI startups Proven experience building and scaling real-time, data-intensive systems from scratch Proficiency in C# for high-performance, low-latency trading systems Strong backend (Python, Node.js, Rust) and frontend (React, Next.js) expertise Deep experience with cloud platforms More ❯

Analytics Manager | Data-Led B2B & D2C Business | Up to £70K | Hybrid (South West UK) Harnham is working with a well-established multinational food business with a strong presence across the UK, US, and Canada. They operate in both B2B and D2C markets — from hospitals and schools to elderly customers receiving nutritious meals at home. They’ve built a reputation … around quality, innovation, and ethical values, and they’re now looking for an Analytics Manager to join their growing data team. The Role: You’ll be embedded in a strategic insight and problem-solving team working directly on key commercial challenges across international markets. This is a hands-on analytics position where you’ll be shaping business decisions, optimising … Track and measure marketing campaign performance, applying techniques like media mix modelling (MMM) and attribution Support commercial decision-making with segmentation, pricing, product mix and sales performance insights Present data-driven stories to senior leadership, helping answer questions like: “Why are sales dropping in this category?” “How can we improve our delivery logistics?” “Do we have too many products More ❯

to reshape the way professionals in finance and audit work. This role offers the opportunity to fast-track the development of intelligent tools that automate repetitive tasks and support data-led decision-making. You’ll be part of a small, agile team with direct access to experienced mentors in software development and data science, and a clear … Collaborate with other developers on code reviews, feature design, and deployment planning. Build across the entire product stack: Frontend : modern, responsive user interfaces Backend : scalable APIs and application logic Data Layer : analytical tools and processing engines Independently lead features or projects from discovery through to release. Support junior team members through mentorship and code pairing. Solve complex technical challenges … years of experience building full-stack applications in production environments. Strong proficiency in: Backend : Python, Django Frontend : JavaScript, React, Next.js Version Control : Git Ability to design and maintain performant, data-heavy backend systems with external API integrations. Experience developing responsive UIs that perform well across devices and browsers. Self-starter attitude with the ability to take full ownership of More ❯

summary Our client is looking for a forward-thinking Product Manager to lead the end-to-end development of a greenfield MLOps platform tailored for the fast-paced and data-intensive world of AdTech. This is a unique opportunity to architect a foundational capability that will power advanced machine learning use cases across our advertising ecosystem. Key Skills/… vision and roadmap for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks … cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time and batch model consumption. Translate business needs into detailed product requirements, user stories, and More ❯

ready ML systems using Python and modern frameworks. Lead technical design discussions and influence system-level decisions across greenfield initiatives. Build and scale end-to-end ML pipelines, including data ingestion, feature engineering, model training, and deployment. Champion best practices in software engineering: CI/CD, testing, containerisation, version control, and code quality. Collaborate with cross-functional teams including … data scientists, platform engineers, and product stakeholders to align AI solutions with business goals. Experience Strong commercial experience in Python with a deep understanding of software engineering principles. Demonstrated expertise in building ML systems in production environments (not just notebooks or research). Proven leadership experience in either a senior IC or tech lead/managerial capacity. Familiarity with …/ML libraries and frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Comfortable navigating greenfield environments and driving projects from concept to execution. Bachelor’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related discipline Why Join? Greenfield impact: Shape the direction of new AI/ML products from day one. Global scale: Work with one of the More ❯

these into projects where relevant 🛠️ Key Experience & Skills Strong background in enterprise GIS delivery across a range of geospatial systems and datasets Familiarity with cloud-hosted environments and spatial data management (e.g., PostGIS, GeoJSON, WMS/WFS) Hands-on experience with GIS platforms and toolsets , both open source and proprietary Scripting experience (e.g., Python ) to automate spatial data handling or analysis Experience working in Agile, multidisciplinary teams , delivering complex digital services ⭐ Desirable (But Not Essential) Experience with EO data , geospatial data science or AI/ML Knowledge of DevOps principles (Terraform, CI/CD pipelines, Docker, etc.) Familiarity with GOV.UK Digital Service Standards or public sector digital frameworks Understanding of data privacy and … secure handling of sensitive spatial data (e.g., PII) 🔍 Who We're Looking For You might currently be a GIS Consultant or Senior Analyst ready to take the next step, or a mid-level professional with significant hands-on experience in enterprise GIS delivery looking for more influence and ownership in projects. Our client values collaboration, curiosity, and initiative — someone More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … high-performance, scalable backend systems and APIs. Knowledge of systems programming concepts: memory management, concurrency, performance optimization. Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines). Experience with cloud platforms (AWS preferred) and distributed systems. Proficiency with containerization (Docker) and orchestration tools (Kubernetes). Strong experience with version control systems (Git) and More ❯

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance … over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role Senior Backend Engineers are responsible for building the core data-flows of Kitman Labs products. They do this with a focus on security, privacy, robustness and performance. The backend engineering team builds APIs and data processing pipelines that … handle massive amounts of data from sports teams all over the globe. In conjunction with our Data Science team they build and maintain data models which embody the cutting edge of injury risk prevention technology. We're looking for people with a strong background or interest in building successful products. You'll be happy dealing with More ❯

integrity of our platform. As Engineering Manager of this newly formed squad, you will lead a small-medium sized team and work cross-functionally with teams including Product Management, Data Science and Data Analytics! Across the three Trust teams, we leverage AI and Machine Learning, process high-volume data to combat fake reviews, promote trustworthy content … team performance, system reliability, and fraud detection effectiveness, ensuring measurable business impact Manage the delivery of major initiatives and balance delivery with sustainable engineering practices Work closely with Product, Data Science & Analytics, and other stakeholders Define and prioritise deliverables for new products/enhanced functionality, coordinating cross-functional scoping and feasibility to support business and customer needs Collaborate … or Google Cloud and best practices for scalable infrastructure Experience developing and deploying Full-stack services including React, CSS, TypeScript, Node.js, Database management, and API integrations Ability to use data and metrics to inform decisions, effect change, and align engineering efforts with business goals Extensive stakeholder management experience with a focus on working with the wider business and the More ❯

Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About the Role Did you know that consumers lost over $1 trillion to scams in 2024 alone? You can play a part in helping make society safer and … to customer problems , defin e and prioritis e incremental value , lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development team s , data science, fellow product managers and wider organisation Contribute to the product suite strategy and define it through collaboration and analysis of the right market, customer and business insights … Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support , Professional Services ) to gather and assess product More ❯

be suitable for this opportunity, you will be pro-active in your approach, adaptable and able to demonstrate that you have: A Ph.D. or equivalent postgraduate qualification in computer science or a related field, with a strong research track record, including publications in top-tier conferences and journals. A passion for software engineering with the ability to write clean … LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and graph databases such as Neo4j is More ❯