401 to 425 of 1,633 Data Science Jobs in England

Title: Snowflake Developer Location: ManchesterDuration: 4 Days a WeekJob Type: Permanent/FTE As a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone … ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data Modeling: Extensive working knowledge of various data models, including Dimensional Data Model , ER Data Model , and Data Vault . Cloud Computing: Strong foundational knowledge of … cloud computing principles. Data Expertise: Significant experience in data-related projects and applications, including a good understanding of data management and data governance . Programming & Tools: Good working knowledge of Python and GitLab . Stakeholder Management: Proven experience in managing product owners and stakeholders. Soft Skills: A great team player with a positive attitude, proactive mindset More ❯

Job summary Our Innovation agenda is nascent but has grand aspirations. We work within a unique ecosystem on the Cambridge Biomedical Campus, part of the largest centre of life science and medical research in Europe. Addenbrooke's is one of the largest single-site hospitals in the country with a mature Epic EHR and plans afoot for new children … are collectively brought together through Cambridge University Healthcare Partners, which has been a driving force for the innovation and life sciences agenda nationally. We recognise that the Trust's data represents one of our most potent assets to support innovation, as well as research and quality improvement. But we have yet to fully exploit its potential. Main duties of … the job Our new Clinical Data Science and Engineering Unit will be the vital engine room for curating, sharing and utilising our data for novel purposes outside of the routine operations of hospital. It will work collaboratively with the Trust's core digital and data functions, performance and analytics, clinical and operational staff, academics and commercial More ❯

Senior Data Scientist – Biomedical AI 📍 London (Hybrid, 4 days onsite) I’m working with a fast-growing company at the cutting edge of AI-driven biomedical research. They’re hiring a Senior Data Scientist with strong biological or biomedical expertise to design and deliver next-generation machine learning solutions for life sciences. You’ll apply advanced ML to … complex datasets - genomics, proteomics, imaging, clinical data, accelerating work in drug discovery, biomarker development, and health data analysis. What You’ll Do Build and deploy ML models across diverse biomedical datasets Collaborate with biologists, clinicians, and engineers to turn scientific questions into AI solutions Develop robust data pipelines and reproducible research workflows Support strategic data science initiatives and mentor junior colleagues Communicate findings across teams and represent the company externally What They’re Looking For Strong academic background in Bioinformatics, Computational Biology, Data Science, or related field (advanced degree preferred) Hands-on experience applying ML to biological or biomedical data Proficient in Python and modern ML frameworks Solid understanding of data More ❯

Senior Data Scientist – Biomedical AI 📍 London (Hybrid, 4 days onsite) I’m working with a fast-growing company at the cutting edge of AI-driven biomedical research. They’re hiring a Senior Data Scientist with strong biological or biomedical expertise to design and deliver next-generation machine learning solutions for life sciences. You’ll apply advanced ML to … complex datasets - genomics, proteomics, imaging, clinical data, accelerating work in drug discovery, biomarker development, and health data analysis. What You’ll Do Build and deploy ML models across diverse biomedical datasets Collaborate with biologists, clinicians, and engineers to turn scientific questions into AI solutions Develop robust data pipelines and reproducible research workflows Support strategic data science initiatives and mentor junior colleagues Communicate findings across teams and represent the company externally What They’re Looking For Strong academic background in Bioinformatics, Computational Biology, Data Science, or related field (advanced degree preferred) Hands-on experience applying ML to biological or biomedical data Proficient in Python and modern ML frameworks Solid understanding of data More ❯

Data Engineer – SC Cleared - AWS Our client is establishing a new Data Team and requires a Data Engineer to design and implement the foundational data infrastructure. Current data is dispersed across multiple systems with inconsistent structures and limited automation. You will play a key role in creating scalable, secure data pipelines and models that … enable reliable ingestion, transformation, and delivery across the organisation.Due to the nature of the work, active SC clearance is required. Key Responsibilities Design, build, and maintain scalable data pipelines across AWS and Azure environments to ingest, transform, and store data from multiple sources. Develop and manage data models, schemas, and metadata to support analytics, reporting, and operational … requirements. Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data is accessible, high-quality, and fit for purpose. Implement data quality and validation routines , including monitoring, alerting, and automated checks. Optimise data workflows for performance, cost-efficiency, and maintainability , using platforms such as Azure Data Factory, AWS Data Pipeline More ❯

Our client, a fast growing technology organisation, urgently require an experienced Data Scientist to undertake a long term contract. In order to be successful, you will have the following experience: Strong Data Analyst or Data Science background, with experience within Python and AI/ML technologies Machine learning and Bayesian modelling experience is highly desirable Experience … of working with the Home Office as a customer SC Clearance is essential Within this role, you will be responsible for: Analyse structured and unstructured data to extract meaningful insights, trends, and patterns Build, validate, and deploy machine learning models (supervised, unsupervised, and reinforcement learning) in Python to solve complex decision-making problems Develop statistical models and perform hypothesis … testing, predictive analytics, and forecasting Work with optimisation and simulation teams to integrate data science models into larger decision engines Collaborate with software engineers to productionise models and embed them in decision-support platforms Conduct data cleaning, feature engineering, and data pre-processing to ensure model quality and robustness Document model design, assumptions, and data More ❯

Our client, a fast growing technology organisation, urgently require an experienced Data Scientist to undertake a long term contract. In order to be successful, you will have the following experience: Strong Data Analyst or Data Science background, with experience within Python and AI/ML technologies Machine learning and Bayesian modelling experience is highly desirable Experience … of working with the Home Office as a customer SC Clearance is essential Within this role, you will be responsible for: Analyse structured and unstructured data to extract meaningful insights, trends, and patterns Build, validate, and deploy machine learning models (supervised, unsupervised, and reinforcement learning) in Python to solve complex decision-making problems Develop statistical models and perform hypothesis … testing, predictive analytics, and forecasting Work with optimisation and simulation teams to integrate data science models into larger decision engines Collaborate with software engineers to productionise models and embed them in decision-support platforms Conduct data cleaning, feature engineering, and data pre-processing to ensure model quality and robustness Document model design, assumptions, and data More ❯

Cloud transformation and this role will be the first of its kind with the view to build a team around this hire. You will act work closely with their Data Engineering, Data Science, Cloud and DevOps teams in order to help build and scale their ML and data platforms across Azure. This role will require … days a week in the office. What will you be doing? Deploy and manage ML models across dev to production at scale Build and maintain cloud-based data science environments Automate pipelines and services (ETL, storage, databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for … Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

Data Scientist (one day a week in the central London office) Sports Analytics This role is a unique opportunity for a Data Scientist to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but … making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed … stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data More ❯

and innovation for a large marketing portfolio across Expedia Group brands globally. You will work closely with engineering and Machine Learning teams to lead multi disciplinary product development across data, automation, optimization, and AI innovation, directly impacting how Expedia Group partners with large advertising platforms such as Google, Apple, and Meta. In this role, you will: Lead cross functional … delivery with engineering, data science, analytics, and business stakeholders to design and ship scalable measurement and automation services. Enable generative AI innovation across marketing for content generation and ad creatives. Collaborate on architectural standards, influencing technology choices that support scale, automation, and interoperability across data and machine learning workflows. Define and track success metrics tied to product … adoption, data quality, cost efficiency, and revenue impact to drive outcome based prioritization. Communicate technical concepts clearly to executive and non technical audiences, building alignment on priorities and investment decisions. Coach and develop product managers, fostering a data driven, innovative, and inclusive team culture. Implement AI powered solutions, facilitating technical feasibility discussions and guiding architecture design. Experience and More ❯

Data Scientist – Energy Markets & Forecasting Location: London (Hybrid, 2–3 days per week) Compensation: £Competitive + Equity Sector: Climate Tech | Tier-1 VC Backed | Real-Time Systems I’m working with a cutting-edge climate tech startup that’s focused on decarbonising the energy grid. Backed by top-tier investors, they’re building technology that supports real-time energy … trading and optimisation at scale. They’re looking for a Data Scientist with strong experience in time-series forecasting to design, build, and deploy real-time models that directly impact trading decisions. You’ll be working with complex, high-variance datasets and collaborating closely with traders, engineers, and product teams to turn data into live insights that drive … performance in fast-moving energy markets. Key Responsibilities: Develop and refine time-series forecasting models for energy trading and optimisation Work with real-time, high-volume data streams to deliver actionable insights Partner with traders, data scientists, and product engineers on live trading strategies Build and deploy production-ready ML models that power operational decision-making Continuously improve More ❯

growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team is able to analyze these unique data points, at massive scale and efficiency … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning … cybersecurity challenges at an unprecedented scale, we want you on our team. The candidate should have strong foundational machine learning knowledge. Day to day responsibilities include: Collaborate with other Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models Collaborate with analysts to understand new email attack techniques then design and deploy models to detect More ❯

Job Title: BE/Data Engineer (AI/ML) Location: UK/Remote Position Type: Full-time/Permanent Our team is changing the way Travel Arrangers and Corporate Travelers book travel by offering a powerful, easy-to-use, full 360 solution that encompasses all aspects of the Traveler’s journey from initial search to final destination. We are … seeking a highly skilled data engineer with a strong foundation in Machine Learning (ML) and Artificial Intelligence (AI). This hybrid role is ideal for someone who is passionate about solving complex problems through building scalable global solutions that effectively leverage data pipelines combined with AI/ML technologies. About Us: CTM is an award-winning provider of … solutions to deliver a return on investment to our customers. Headquartered in Australia, we provide local services solutions to clients across the globe. How You Will Have an Impact Data Engineering/Analytics with a Machine Learning & AI Focus: Design, develop, and deploy ML models and data pipelines to solve business problems. Work with large datasets to build More ❯

Key Responsibilities Data Analysis & Reporting Collect, analyze, and interpret large datasets from various internal and external sources. Develop and maintain interactive dashboards and reports (e.g., Power BI, Tableau, Qlik). Identify trends, patterns, and insights that drive business performance. Business Intelligence Development Build, optimize, and maintain BI solutions, including ETL processes and data models. Work with stakeholders to … define key metrics (KPIs) and reporting requirements. Ensure data accuracy, consistency, and quality across all BI outputs. Stakeholder Collaboration Partner with business teams to understand their analytical needs and provide data-driven recommendations. Present insights and findings to senior management in a clear and structured manner. Train users on BI tools, dashboards, and best practices. Data Governance … Quality Support data governance initiatives by documenting data definitions and ensuring compliance with standards. Participate in continuous improvement efforts for data processes, sources, and architecture. Required Qualifications Bachelor’s or Master’s degree in Business, Data Science, Computer Science, Economics, Engineering, or a related field. 2–4 years of experience in a BI, data More ❯

Overview Job Role : Data & Applied Intelligence Strategy Manager Location : London Career Level: Manager Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology … we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts … learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want More ❯

Senior Data Engineer – Burton on Trent £64-67k x1 day per week on-site (Sponsorship is not provided for this opportunity) As a Senior Data Engineer, you will lead the development and optimisation of our customers Azure-based data platform, ensuring efficient, secure, and high-performing data services. You’ll design scalable pipelines and data models, champion data governance and best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA) through robust security and governance practices. Automation: Implement CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, ARM) via Azure DevOps. Performance & Monitoring: Optimise data systems for cost, performance, and reliability; proactively resolve platform issues. Collaboration: Work closely with analysts and data More ❯

About the Role This exciting new role will be focused on design, development and maintenance of the Business Intelligence Solution This role is focused on developing, maintaining, and enhancing data reporting solutions using Microsoft Power BI to support evidence-based decision-making across the organisation. The successful candidate will play a vital role in delivering timely, accurate, and accessible … data visualisations and reports that align with key priorities such as curriculum performance, learner outcomes, funding requirements, and strategic KPIs. Working closely with the Financial Controller and the Deputy Principal Finance and Resources, the role involves collecting, cleansing, and transforming data from a variety of sources to produce high-quality, meaningful reports and dashboards. It also requires applying … advanced data processing techniques and managing Dataflows, using a wide range of tools and technologies including SQL, SSIS, SSRS, Azure Data Factory, PowerShell, Python, M scripting, QlikView, and Tableau, to ensure robust, automated, and user-friendly business intelligence solutions. About You You will be a key part of developing the Business Intelligence solution and collaborating across functions to More ❯

APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability. ·Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance. ·Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations. ·Driving and evangelizing best practices, reusable templates, and … documentation to scale AI/ML delivery across the business. ·Collaborating with data engineers, data scientists, front & back-end engineers, product managers, legal & infosec colleagues to deliver impactful solutions end-to-end. ·Line management of AI/ML Engineers setting goals, developing skills, and mentoring for high performance Who you will work with This role reports directly to … the Director of AI & Data, and collaborates closely with the wider Data team Data Science, Core Data Engineering, Analytics, Customer Insight and the wider organisation particularly Technology, Legal, and Information Security to onboard/develop & scale AI applications. About you The role requires a blend of technical depth and product sense, including ·Strong Python engineering More ❯

Job Description: Data Engineer (with Tableau Specialism) Responsibilities: * Design, develop, and manage data models, schemas, and metadata to support advanced analytics and reporting requirements. * Work closely with Data Analysts, Data Scientists, and Business Analysts to ensure data availability, accessibility, and usability across the organisation. * Implement data quality checks, validation routines, and monitoring processes to … maintain data integrity and reliability. * Optimise data workflows for performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline, Databricks, or Apache Spark . * Integrate and prepare data for Tableau dashboards and reports , ensuring optimal performance and alignment with business needs. * Collaborate with visualisation teams to develop, maintain, and enhance … Tableau data sources (including Extracts, Hyper files, and live connections) and to support self-service analytics. * Ensure compliance with data governance, security, and privacy policies , maintaining adherence to organisational standards. * Document data architecture, pipelines, and Tableau data models to promote transparency, maintainability, and knowledge sharing. * Contribute to the development of a modern, scalable data platform More ❯

Job Role : Data & AI Consultant - SAP S/4HANA Location: London/Manchester/EdinburghCareer Level : ConsultantAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse … by advancements in technology such as AI. Organizations are seeking agility and resilience to stay competitive and drive growth. At Accenture, we help clients navigate this transformation by leveraging Data & AI to unlock value and drive business transformation. Our Data & AI SAP S/4HANA capability team within the Strategy & Consulting practice is at the forefront of this … as SAP ECC ERP and SAP BW, by exploring tailored solutions that leverage best-of-breed tools and technologies. Whether transitioning to SAP S/4HANA, integrating SAP Business Data Cloud, or adopting advanced non-SAP data platforms, we focus on redefining data strategies and enabling intelligent business outcomes. By combining deep expertise in SAP technologies with More ❯

way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We are currently recruiting for a … Data Analyst to join our Data team. We’re on the lookout for someone who can bring strong analytical and design skills to our projects. In this role, you’ll be responsible for shaping solutions from the ground up – analysing requirements, designing effective approaches, and making sure that every outcome is clear and measurable. This position offers excellent … support for those who are looking to progress into the world of Data Science or Analytical Engineering. What you’ll do: Conduct deep-dive analysis to generate insights that drive business decisions and performance. Work closely with collaborators from different departments in cross-functional agile teams. Extract, analyse and present data to both technical and non-technical More ❯

client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact. This role starts in March 2026 with a … example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability … with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ More ❯

client is a globally recognized technology company near Shanghai, China, known for turning advanced digital capabilities into reliable, production-grade solutions across multiple industries. Cross-functional teams in research, data, and product work together on modern R&D programs and scalable platforms to translate complex data into tangible business impact. This role starts in March 2026 with a … example, workshops, pilot activities, or factory trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability … with business goals. • Contribute to team knowledge sharing and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ More ❯

solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where … data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data More ❯

solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where … data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data More ❯