1,926 to 1,950 of 2,917 Data Science Jobs in the UK

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

Alton, Hampshire (Hybrid after probation) Must be Eligible for SC Clearance £30,000 - £50,000 Depending on Experience Join a specialist technical consultancy delivering innovative solutions across software development, data science, AI, and engineering. You'll work on a variety of multi-disciplinary projects applying programming, modelling, and analytical techniques to solve real-world problems. Key Responsibilities: Develop More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

environment Taking ownership of features and running sprint planning sessions Contributing to projects across research, prototyping, and production What we’re looking for: 3+ years of experience in a Data Science/Machine Learning/Engineering role Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix More ❯

Alton, Hampshire (Hybrid after probation) Must be Eligible for SC Clearance £30,000 - £50,000 Depending on Experience Join a specialist technical consultancy delivering innovative solutions across software development, data science, AI, and engineering. You'll work on a variety of multi-disciplinary projects applying programming, modelling, and analytical techniques to solve real-world problems. Key Responsibilities: Develop More ❯

SS3/18); Strong analytical and numerical skills, with a willingness to learn and apply quantitative techniques; Educated to degree level in a numerate discipline such as statistics, mathematics, data science, or engineering; A proactive attitude and a willingness to take initiative under guidance; Commitment to delivering high-quality work and attention to detail; Ability to communicate clearly More ❯

automated test suites for APIs, service components, and AI pipelines. Automate the evaluation of AI system outputs to ensure accuracy, consistency, and safety of responses. Collaborate with developers and data scientists to establish service-level quality metrics and observability hooks. Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes. Participate in threat modelling and More ❯

automated test suites for APIs, service components, and AI pipelines. Automate the evaluation of AI system outputs to ensure accuracy, consistency, and safety of responses. Collaborate with developers and data scientists to establish service-level quality metrics and observability hooks. Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes. Participate in threat modelling and More ❯

us! About the Role Level : 5 Department: COO Location : Southampton or London Contract type : Permanent The new role sits within Chief Operating Office (COO) and reports Head of AI & Data Science. The key accountabilities for the role are as follows: AI/ML Solution Delivery: Hands on end-to-end development and deployment of both traditional and GenAI-based … analytics, experimental design, model development, benchmarking, enhancement and deployment. LLM & RAG Integration: Design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking/splitting, vectorization, knowledge graph representation (GraphRAG), and query retrieval and evaluation. Model Evaluation & Prompt Engineering: Design and execute experiments to benchmark and evaluate model performance using both … ethical AI principles and governance frameworks, ensuring robust model validation and compliance with regulatory and organizational standards. Cross-Functional Collaboration: Work closely with business partners, stakeholders, and technical teams (data engineering, platform engineering) to translate business requirements into impactful AI solutions. Research & Innovation: Stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation More ❯

acumen to identify performance trends, uncover root causes, and recommend platform-driven solutions. Use analytical frameworks to validate hypotheses, quantify ROI, and monitor account health. Collaborate with product and data science teams to surface insights that influence roadmap prioritization and customer automation opportunities. Champion usage within the customer base guiding teams on how to operationalize insights from CIQ … internally, driving accountability and collaboration across functions. Foster a culture where we win as a team, balancing empathy, clarity, and a results-oriented mindset. Metrics-Driven Account Management: Use data-driven insights to assess customer health, identify risk, and drive proactive engagement. Implement scalable success plans that increase satisfaction, adoption, and retention. Maintain a strong focus on product-enabled … outcomes and quantifiable value creation. Conduct regular and data-driven reviews of customer health. Thought leadership: Serve as a thought partner to customers, provide insights and guidance to both internal teams and customers. Stay ahead of industry trends, competitive moves, and emerging technologies to anticipate customer needs and guide innovation. What You'll Bring: 8+ years' experience in consulting More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy … cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk assessment, and security controls in AI/ML contexts. Previous experience as a Security Architect or senior security More ❯

Senior Agency Partner (12-month contract) Senior Agency Partner (12-month contract) London dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for … their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such … Cola, Meijer, Procter & Gamble and Metro. Tesco Media and Insight Platform is a partnership between Tesco, the UK's largest grocery retailer, and dunnhumby, a global leader in Customer Data Science. Together, we always put the customer first. Fuelled by data from over 24 million Clubcard holders, our closed-loop measurement helps you understand consumer behaviour and ensures More ❯

year runway. This company has assembled one of the strongest technical founding teams I've seen. Bringing together brilliant minds from Cambridge, MIT, and Google across Software Engineering, Data Science, Theoretical Physics, and Computational Geometry. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions … GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python for geometry, simulation, and data workflows Develop responsive, performant frontends using React and TypeScript Work closely with domain experts (engineers, designers) to translate complex physical problems into usable software features Follow functional programming practices to write testable, composable … code Own features from idea to implementation to deployment Contribute to architectural decisions in a fast-moving, early-stage product Requirements Bachelor's degree in Computer Science 2+ years of experience building web applications in a production environment Strong experience with Python and API frameworks (FastAPI, Flask, etc.) Proficiency with React and TypeScript Comfort or interest in functional programming More ❯

Important Note: Please apply only if you have valid work authorization in the UK. We are not providing visa sponsorship. Is your CV ready If so, and you are confident this is the role for you, make sure to apply More ❯

client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A … degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A … degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one … advanced modeling experience in at least one product (e.g. Adaptive Insights (Workday), Anaplan, Board, IBM Planning Analytics (TM1), Jedox, Planful, Vena, etc.) is essential. Significant experience in sales, presales, data science, or modeling at a leading software/SaaS company, with a focus on large, strategic deals. Knowledge of the Financial Services industry and its planning challenges would … be a strong advantage. Proven ability to explain technical solutions, establish executive-level goals, develop opportunities, and provide modeling or data management expertise that inspires senior decision-makers. Track record of building strong and lasting C-level relationships, demonstrating executive presence, empathy, and credibility. Experience in preparing and delivering compelling presentations targeted to senior and executive audiences. Strategic thinker More ❯

BI Developer. Supporting a Business Intelligence Manager (within advanced analytics) and Chief Actuary for a global insurer who drive their Underwriting Intelligence platform that uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today’s most critical business risks. The business are looking to understand their data better to drive … adding an additional hire to the team as a BI Developer. To be considered for this role you must have experience in: Domain knowledge – understanding of the insurance sector Data literate - experience with SQL is a must and AD or Databricks exposure would be desirable. BI experience – familiarity with tools such as Qlik, Power BI, Tableau, Looker, etc. Role More ❯

BI Developer. Supporting a Business Intelligence Manager (within advanced analytics) and Chief Actuary for a global insurer who drive their Underwriting Intelligence platform that uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today’s most critical business risks. The business are looking to understand their data better to drive … adding an additional hire to the team as a BI Developer. To be considered for this role you must have experience in: Domain knowledge – understanding of the insurance sector Data literate - experience with SQL is a must and AD or Databricks exposure would be desirable. BI experience – familiarity with tools such as Qlik, Power BI, Tableau, Looker, etc. Role More ❯

per annum Location: UK Hybrid - With occasional travel to a hub Contract Type : Permanent (full time) Our Team IFRS9 and Stress Testing team work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building used for regulatory reporting More ❯