276 to 300 of 1,678 Data Science Jobs in the UK

More About The Role At Morrisons, our Data, Analytics & AI team plays a vital role in driving decisions across the business by unlocking the power of our data. Whether it's enabling quick insight through self-serve tools like Looker or delivering deeper analysis through exploring the patterns in our data, we help teams across the business solve … problems, drive performance, and create value. As a Lead Data Scientist, you’ll lead a small but impactful team of data scientists and analysts, helping shape and deliver a roadmap of data science products and initiatives that align with our business goals. You’ll work closely with stakeholders across the organisation to understand their challenges and … is a hands-on role with technical delivery at its core, combined with leadership and strategic direction. What you’ll be doing: Lead, mentor and develop a team of Data Scientists and Analysts, setting clear objectives and supporting professional growth Own the delivery of complex data science products and models that support strategic business objectives Shape and More ❯

New Contract Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Gloucester Gloucester location – full time on site when required Must hold active Enhanced DV Clearance (West) Circa £600 p/d inside IR35 Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client … supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies, including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will … the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop More ❯

New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Gloucester Gloucester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our … supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will … the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop More ❯

New Permanent Opportunity available with a leading National Security Organisation for an eDV cleared Data Engineer in Gloucester Gloucester location – hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our … supplier to the National Security sector, delivering mission-critical solutions that help keep the nation safe, secure, and prosperous. You’ll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will … the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop More ❯

Senior Data Scientist - AI/ML (Financial Services) Location: Remote/Major Hubs in APAC, Europe, and the UK Team: Advanced Analytics & Artificial Intelligence About the Role We are seeking a highly experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge … growth, optimizing risk management, enhancing customer experiences, and ensuring regulatory compliance on a global scale. Key Responsibilities End-to-End Model Development: Lead the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep … detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into actionable data science projects with clear KPIs and ROI. Technical Leadership: Mentor junior data scientists, establish best practices for code (e.g., Git), model versioning (e.g., MLflow), and reproducible research. More ❯

Partnered with an International Legal Services company who are searching for a Head of Data & Analytics on 2 year FTC basis where you'll play a key role in building and managing Data & Analytics function as well as developing and executing Data Strategy aligning with business goals. Scope of role: Build and manage Data & Analytics function … alongside developing and executing Data strategy aligning with overall business goals. Lead and implement Data Strategy ensuring business objectives such as operational efficiency, risk and growth are aligned. Deliver robust data governance frameworks, ensuring data quality, accessibility, security and compliance in line with regulations such as GDPR, DPA, SRA Code of Conduct. Collaborate closely with the … CIO providing key recommendations in establishing scalable data foundations and enabling a basis for capitalising on emerging AI Technologies. Oversee deployment of advanced analytics tools, predictive analytics, machine learning and gen AI tech with the view of delivering actionable insights and enhancing products. Experience required: Bachelors in Computer Science, Data Science, Information Technology or related studies. More ❯

Veritas is a fast-growing data company on a mission to transform how data is used to drive innovation across life sciences, healthcare, and beyond. We create intelligent data products and analytical tools that empower our clients with actionable insights. Founded by seasoned experts in analytics and technology, Veritas curates, indexes, and delivers high-integrity, research-ready … data which benefits our clients in: Healthcare & Life Sciences Research: enabling long-term survival analysis, endpoint validation, epidemiological studies; Insurance, Pensions & Financial Services: improving life expectancy models, detecting fraud, and supporting population risk profiling ; AI & Predictive Modelling: powering advanced models that incorporate accurate mortality endpoints. As a Data Scientist at Veritas, you’ll help develop and deliver data products that power our client solutions. You’ll work across the full data science lifecycle — from engineering and modelling through to dashboarding, client engagement, and product design. This is a great fit for someone who enjoys blending data engineering, analytics, and science in equal measure. What You’ll Do Design and build models, algorithms, and More ❯

Gloucester location - hybrid working when possible Must hold active Enhanced DV Clearance (West) Competitive Salary DOE - 6% bonus, 25 days holiday, clearance bonus Experience in Data Pipelines, ETL processing, Data Integration, Apache, SQL/NoSQL Who Are We? Our client is a trusted and growing supplier to the National Security sector, delivering mission-critical solutions that help keep … the nation safe, secure, and prosperous. You'll work with cutting-edge technologies including AI/Data Science, Cyber, Cloud, DevOps/SRE, and Platform Engineering. They have long-term contracts secured across the latest customer framework and are set for significant growth. What will the Data Engineer be Doing? You will develop mission-critical data solutions and manage pipelines that transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

AI Science Manager page is loaded AI Science Managerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Role Overview As an AI Science Manager in IQVIA's Applied Data Science Center (ADSC), you will lead the development and delivery of advanced AI/ML solutions for life sciences and healthcare clients. … and deployment of scalable AI/ML solutions, including Generative AI and Agentic AI frameworks. Fine-tune and distil large language models (LLMs) for diverse use cases; transform raw data into trainable datasets for model development. Apply advanced techniques such as Supervised Fine-Tuning (SFT), Proximal Policy Optimisation (PPO), and reward modelling. Stay abreast of the latest advancements in … disruption. Act as a subject matter expert in cloud architecture (especially AWS), CI/CD pipelines, containerisation, secrets management, and enterprise-grade monitoring/logging. Support complex R&D data harmonisation and infrastructure-sensitive AI/ML deployments. Strategy Consulting & Client Engagement Lead technical discussions with clients, translating infrastructure and business requirements into actionable delivery plans. Apply consulting principles More ❯

Overview Are you ready to turn data into action? Thames Water is looking for a skilled and driven Collections Data Scientist to join our dynamic Credit Risk team. What you will be doing as the Collections Data Scientist : In this pivotal role, you will help shape data-led strategies that enhance customer experience and reduce bad … through advanced insight and proactive debt prevention. Working closely with a talented team and senior stakeholders, you'll help deliver best-in-class portfolio management, drive innovation in our data capabilities, and ensure analytics are seamlessly aligned with our digital infrastructure. Responsibilities Deep dive analysis: Conduct deep-dive analysis into customer portfolio trends to identify root causes of debt … and refine predictive models and analytical frameworks to improve credit risk assessment and optimise debt recovery strategies. Deliver bad debt improvements: Support the Bad Debt Transformation programme by providing data-led insights that drive operational improvements and policy recommendations. Transition to the Data Lake: Support the transition to a data lake environment, allowing us to link together More ❯

by 2030, the demand for GHG monitoring solutions to protect our climate is now greater than ever. To meet this rapidly growing demand Mirico is expanding its technology and data analytics, and there is an opportunity for a data scientist to join our talented team of engineers, scientists, and business development staff. About you You will play a … Using your strong analytical and problem-solving skills, you will work with complex real-world datasets from field deployments and apply a combination of Bayesian inference, machine learning , and data-driven modelling techniques to deliver robust, interpretable results. We are looking for a hands-on, experienced data scientist who can quickly understand our domain, work independently, and bring … and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas emissions data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source More ❯

by 2030, the demand for GHG monitoring solutions to protect our climate is now greater than ever. To meet this rapidly growing demand Mirico is expanding its technology and data analytics, and there is an opportunity for a data scientist to join our talented team of engineers, scientists, and business development staff. About you You will play a … Using your strong analytical and problem-solving skills, you will work with complex real-world datasets from field deployments and apply a combination of Bayesian inference, machine learning , and data-driven modelling techniques to deliver robust, interpretable results. We are looking for a hands-on, experienced data scientist who can quickly understand our domain, work independently, and bring … and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas emissions data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source More ❯

Lead Data Scientist * Based in Nottingham * 4 days a week onsite * Pay £75,000 depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across … the customer lifecycle. The successful candidate will work closely with cross-functional teams to deliver data-driven solutions in fraud prevention, marketing, credit risk, and customer management. This is an exciting opportunity for a commercially experienced data scientist to take ownership of key initiatives and shape the future of data science within a forward-thinking environment. … actionable insights through structured analysis and clear communication. * Identify opportunities for process improvement and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar More ❯

You will actively support the wider business with all their data wants, needs and processes. You'll be involved in decision-making processes by transforming, interpreting, and presenting data. This role is your opportunity to develop key analytical skills, understand our data infrastructure, and support our team in making data-driven decisions. Role Please note that this … is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, maths will not be eligible. You will also need to commit to completing a Level 4 Data Analyst Apprenticeship. … Are you keen to begin your career in data analytics? Are you the sort of person who likes to use data to answer questions and drive action? Are you someone who can think creatively & innovatively in solving a new problem? Do you have strong planning, organisation, & communication skills? If the answer to all these questions is yes, we More ❯

which we work. Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues. Are you a Data Scientist ready to make an impact across a global business? Do you thrive on solving complex problems, creating innovative data products, and working at the intersection of people … data, and technology? If so, we want to meet you. At Collinson, we're on a mission to harness the power of data to deliver smarter, faster, and more customer-focused solutions across our diverse portfolio — from loyalty and customer engagement to travel experiences and financial services. We're growing our Data Science team and are … looking for a hands-on, forward-thinking Data Scientist to join us on this journey. What you will do: As a key member of our Data & AI/ML Platform team, you'll play a central role in designing, building, and deploying data solutions across Collinson's global operations and external client engagements. This is a high More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain … experience is a plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this More ❯

TLA, we're proud to be consumer champions in the automotive space. We're constantly exploring smarter ways to connect people with the right cars - and that's where data engineering plays a key role. You'll join a focused data team of 4 professionals (2 Data Scientists, 1 BI Developer, and yourself as Data Engineer … working collaboratively to deliver high-impact data solutions. As part of the team, you'll create data pipelines to extract diverse datasets from vehicle stock volumes to customer reviews and offers data in a timely, robust and efficient manner. We understand that great data forms the backbone of great data analysis, and as such the … data engineer is crucial to the success of the data department overall. TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the role you will be More ❯

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist/AI Engineer in Cheltenham. Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are … we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You … ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match … outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data More ❯

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area … match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match … outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data More ❯