701 to 725 of 1,607 Data Science Jobs in England

Robert Half Technology are assisting a market leading real estate organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 In this role, you will manage and optimise the data infrastructure, driving insights and supporting our decision-making processes. Your expertise will be crucial in contributing to our organisation's data … driven success. As a key member of our team, you will have the opportunity to work on exciting projects and make a significant impact on our business Role The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance. Collaborate with data scientists and analysts to fulfil their data requirements and … support their work. Collect and process datasets from various sources, ensuring data quality and integrity. Implement efficient data models and schemas for storage and retrieval. Optimize data processes for improved performance and efficiency. Troubleshoot and resolve data pipeline issues swiftly and effectively. Keep abreast of industry trends and emerging technologies in data engineering, and continuously More ❯

Robert Half Technology are assisting a market leading real estate organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 In this role, you will manage and optimise the data infrastructure, driving insights and supporting our decision-making processes. Your expertise will be crucial in contributing to our organisation's data … driven success. As a key member of our team, you will have the opportunity to work on exciting projects and make a significant impact on our business Role The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance. Collaborate with data scientists and analysts to fulfil their data requirements and … support their work. Collect and process datasets from various sources, ensuring data quality and integrity. Implement efficient data models and schemas for storage and retrieval. Optimize data processes for improved performance and efficiency. Troubleshoot and resolve data pipeline issues swiftly and effectively. Keep abreast of industry trends and emerging technologies in data engineering, and continuously More ❯

be responsible for designing, training, and deploying AI models that support complex financial decision-making, risk analysis, and automation for institutional clients. You’ll work closely with experienced engineers, data scientists, and product leaders, and you’ll be encouraged to think deeply about system behaviour end-to-end—data quality, model performance, evaluation, failure modes, and how AI … deploying machine learning and deep learning models for financial analytics, credit/risk scoring, and portfolio insights Building LLM-powered tools (e.g. using GPT-class models) that assist with data extraction, document understanding, investor reporting, and internal decision-support Implementing end-to-end AI pipelines: data ingestion, cleaning, feature engineering, experimentation, model training, evaluation, and deployment Developing robust … evaluation and monitoring frameworks for models (including regression tests, performance tracking, and drift detection) Working with structured and unstructured financial data (tabular data, time series, PDFs, text, etc.) and designing appropriate representations and features Collaborating with product and domain experts to translate fintech and capital-markets workflows into well-scoped AI problems and measurable targets Contributing to internal More ❯

be responsible for designing, training, and deploying AI models that support complex financial decision-making, risk analysis, and automation for institutional clients. You’ll work closely with experienced engineers, data scientists, and product leaders, and you’ll be encouraged to think deeply about system behaviour end-to-end—data quality, model performance, evaluation, failure modes, and how AI … deploying machine learning and deep learning models for financial analytics, credit/risk scoring, and portfolio insights Building LLM-powered tools (e.g. using GPT-class models) that assist with data extraction, document understanding, investor reporting, and internal decision-support Implementing end-to-end AI pipelines: data ingestion, cleaning, feature engineering, experimentation, model training, evaluation, and deployment Developing robust … evaluation and monitoring frameworks for models (including regression tests, performance tracking, and drift detection) Working with structured and unstructured financial data (tabular data, time series, PDFs, text, etc.) and designing appropriate representations and features Collaborating with product and domain experts to translate fintech and capital-markets workflows into well-scoped AI problems and measurable targets Contributing to internal More ❯

Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune LLMs for efficiency, scalability, and accuracy in production environments Build and maintain robust data pipelines and scalable backend components in Python Collaborate cross-functionally … with engineers, data scientists, designers, and product managers to ship AI-first features Requirements: 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations) Proficiency in Python Experience designing and deploying RAG pipelines (vector databases, embeddings, retrieval optimisation) Academic Excellence: BSc or … MSc in Computer Science, AI, Data Science, or related technical field from a top university Familiarity with frameworks such as PyTorch, Hugging Face, LangChain, or LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents, time-series) and applied NLP techniques More ❯

Role and Responsibilities: Design, build, and deploy Large Language Model (LLM)-driven applications into production Develop retrieval-augmented generation (RAG) systems for real-time insights from performance and wearable data Optimise and fine-tune LLMs for efficiency, scalability, and accuracy in production environments Build and maintain robust data pipelines and scalable backend components in Python Collaborate cross-functionally … with engineers, data scientists, designers, and product managers to ship AI-first features Requirements: 2+ years of hands-on AI Engineering experience, with strong software engineering fundamentals Proven experience working with LLMs in production (fine-tuning, prompt engineering, or API integrations) Proficiency in Python Experience designing and deploying RAG pipelines (vector databases, embeddings, retrieval optimisation) Academic Excellence: BSc or … MSc in Computer Science, AI, Data Science, or related technical field from a top university Familiarity with frameworks such as PyTorch, Hugging Face, LangChain, or LlamaIndex Passionate about sports, health, or fitness – you’ll feel right at home here Bonus points if you: Have worked with unstructured data (text, documents, time-series) and applied NLP techniques More ❯

Data Engineering Manager - Central Manchester - Salary £90,000 + Bonus The Company: Lorien are working with a client who put technology is at the heart of operations. As they continue to invest heavily in data capabilities, we're looking for a Data Engineering Manager to lead a high-performing team and shape the future of their data platform. The Role: This is a strategic leadership role responsible for driving the design, development, and delivery of a scalable and robust data platform. You'll manage and mentor a team of data engineers, ensuring the platform supports business intelligence, analytics, and machine learning initiatives across the organisation.You'll work closely with product managers, data scientists … and senior stakeholders to translate business needs into technical solutions, while championing best practices in data governance, security, and performance. The Skill Requirements: We're looking for candidates with a blend of the following: Proven experience in data engineering, with 2+ years in a technical leadership or management role Strong technical proficiency in data modelling, data More ❯

Back-End/Full Stack Engineer This is a unique opportunity to join a mission-driven startup applying cutting-edge data engineering, satellite science, and backend development to help farmers grow more sustainably and profitably. You’ll work at the intersection of satellite imagery, backend systems, and machine-learning infrastructure, helping to build and scale a groundbreaking agricultural … poorly Supporting atmospheric correction testing pipelines and contributing to visualisation tools used to validate results Integrating with new satellite imagery feeds and partnering APIs (including tractor/precision agriculture data) Developing and maintaining data pipelines for ML workflows and crop-growth modelling Enhancing geo-rectification workflows and improving performance of atmospheric correction systems Collaborating closely with engineering, data science, and product teams to turn insights into production-ready features Contributing to both R&D-heavy and commercially driven engineering initiatives What you can bring Strong Python skills, including experience with data processing libraries (e.g. Numpy, Pandas). Bonus: RasterIO or other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend More ❯

Back-End/Full Stack Engineer This is a unique opportunity to join a mission-driven startup applying cutting-edge data engineering, satellite science, and backend development to help farmers grow more sustainably and profitably. You’ll work at the intersection of satellite imagery, backend systems, and machine-learning infrastructure, helping to build and scale a groundbreaking agricultural … poorly Supporting atmospheric correction testing pipelines and contributing to visualisation tools used to validate results Integrating with new satellite imagery feeds and partnering APIs (including tractor/precision agriculture data) Developing and maintaining data pipelines for ML workflows and crop-growth modelling Enhancing geo-rectification workflows and improving performance of atmospheric correction systems Collaborating closely with engineering, data science, and product teams to turn insights into production-ready features Contributing to both R&D-heavy and commercially driven engineering initiatives What you can bring Strong Python skills, including experience with data processing libraries (e.g. Numpy, Pandas). Bonus: RasterIO or other geospatial tooling experience. Experience with AWS and containerised environments (Docker). Familiarity with backend More ❯

Data Engineering Manager - Central Manchester - Salary £90,000 + Bonus The Company: Lorien are working with a client who put technology is at the heart of operations. As they continue to invest heavily in data capabilities, we're looking for a Data Engineering Manager to lead a high-performing team and shape the future of their data platform. The Role: This is a strategic leadership role responsible for driving the design, development, and delivery of a scalable and robust data platform. You'll manage and mentor a team of data engineers, ensuring the platform supports business intelligence, analytics, and machine learning initiatives across the organisation. You'll work closely with product managers, data scientists, and senior stakeholders to translate business needs into technical solutions, while championing best practices in data governance, security, and performance. The Skill Requirements: We're looking for candidates with a blend of the following: Proven experience in data engineering, with 2+ years in a technical leadership or management role Strong technical proficiency in data modelling More ❯

Staff Data Scientist Salary: £105K - £115K Location: London - Hybrid working Data Idols are working with a distributor in the tech industry who are looking for a Staff Data Scientist to join the team. They are a data driven business who are looking for a technical leader. This role will report to the Head of Data Science and support the team of Data Scientists click apply for full job details More ❯

On behalf of our client, we are looking for a Senior Data Engineer to join a fast-growing analytics team within a cutting-edge technology company. This is an exciting opportunity to work on large-scale data projects, build modern data infrastructure, and help shape the future of data-driven decision-making. Responsibilities Design, build, and … maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and engineers to ensure high-quality data delivery. Develop and optimise data models for analytics and reporting. Implement best practices for data governance, security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in … Data Engineering or a similar role. Strong proficiency in Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Composer, etc. Expertise in SQL and programming with Python or Scala. Experience with Airflow, dbt, or other orchestration frameworks. Solid understanding of data warehousing, ETL, and data modelling principles. Hands-on experience with CI/CD, version control (Git More ❯

On behalf of our client, we are looking for a Senior Data Engineer to join a fast-growing analytics team within a cutting-edge technology company. This is an exciting opportunity to work on large-scale data projects, build modern data infrastructure, and help shape the future of data-driven decision-making. Responsibilities Design, build, and … maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and engineers to ensure high-quality data delivery. Develop and optimise data models for analytics and reporting. Implement best practices for data governance, security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in … Data Engineering or a similar role. Strong proficiency in Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Composer, etc. Expertise in SQL and programming with Python or Scala. Experience with Airflow, dbt, or other orchestration frameworks. Solid understanding of data warehousing, ETL, and data modelling principles. Hands-on experience with CI/CD, version control (Git More ❯

Duration: initial contract until end of March 26, with possible extension Daily rate : £495 inside IR35 Location: Remote Clearance : active SC Key Responsibilities: Design, develop, and optimize data pipelines using Microsoft Fabric and Azure services (eg, Azure Data Factory, Azure Synapse Analytics, Azure Databricks). Build and maintain scalable, high-performance data architectures to support analytics, reporting … and machine learning workloads. Implement data ingestion, ETL/ELT processes, and data warehousing solutions. Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver solutions. Ensure data quality, security, and compliance with organizational and regulatory standards. Monitor and troubleshoot data pipelines, optimizing for performance and cost-efficiency. Experience: Strong hands … on experience with Microsoft Fabric. Proficient in Python for data engineering (eg, Pandas, PySpark, asyncio, automation scripts). Strong SQL skills (T-SQL or similar) for transforming and modeling data. Experience building scalable ETL/ELT pipelines using cloud technologies. Good understanding of data modeling (star/snowflake), data warehousing, and modern data lakehouse principles. Familiarity More ❯

GEN AI SOLUTION DEVELOPER £90,000 CITY OF LONDON The Intelligence & Insights team is responsible for transforming internal and external datasets into actionable commercial insights and deploying advanced data-science solutions. We develop projects based on innovative ideas or manual processes that can be scaled or automated using data, machine learning, and generative AI. This position has … and digital innovation across the organisation. The successful candidate will help lead the delivery of AI-driven insights through conversational interfaces, drawing on a variety of commercial and operational data sources. This is a hands-on, globally aligned role that collaborates closely with teams across the business to shape, coordinate, and implement elements of the broader data intelligence … vector databases, and context-management approaches. Build and integrate agent-based workflows that support multi-step reasoning, planning, and tool orchestration. Connect conversational AI systems to structured and unstructured data sources (e.g., SQL, APIs, CRM systems, documents). Use data analysis to model user behaviour and improve AI performance. Stay current with emerging trends in generative AI, conversational More ❯

GEN AI SOLUTION DEVELOPER £90,000 CITY OF LONDON The Intelligence & Insights team is responsible for transforming internal and external datasets into actionable commercial insights and deploying advanced data-science solutions. We develop projects based on innovative ideas or manual processes that can be scaled or automated using data, machine learning, and generative AI. This position has … and digital innovation across the organisation. The successful candidate will help lead the delivery of AI-driven insights through conversational interfaces, drawing on a variety of commercial and operational data sources. This is a hands-on, globally aligned role that collaborates closely with teams across the business to shape, coordinate, and implement elements of the broader data intelligence … vector databases, and context-management approaches. Build and integrate agent-based workflows that support multi-step reasoning, planning, and tool orchestration. Connect conversational AI systems to structured and unstructured data sources (e.g., SQL, APIs, CRM systems, documents). Use data analysis to model user behaviour and improve AI performance. Stay current with emerging trends in generative AI, conversational More ❯

Senior Data Scientist - Financial Services • Based in Nottingham (4 days onsite) • Permanent, Full-Time • Salary: up to £75,000 (depending on experience) A fast-growing financial services organisation is seeking a Senior Data Scientist to help drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you’ll build and improve predictive models … customer management. You’ll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into … through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion–challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow More ❯

Senior Data Scientist - Financial Services * Based in Nottingham (4 days onsite) * Permanent, Full-Time * Salary: up to £75,000 (depending on experience) A fast-growing financial services organisation is seeking a Senior Data Scientist to help drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll build and improve predictive models … customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into … through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow More ❯

whether through internships, placements, or commercial projects — to join our hybrid-working team in London . You’ll help design, build, and deploy intelligent systems that drive innovation and data-driven decision-making across the organisation. This is an exciting opportunity to join a global technology and analytics team , working alongside experienced engineers, data scientists, and AI specialists … future of intelligent finance. In this role, you’ll: 🧠 Develop, train, and optimise machine learning and deep learning models for real-world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using … and wellbeing. 💰 Competitive Package – Performance-based bonus, private medical insurance, generous pension scheme, 30 days’ annual leave, and extensive wellbeing benefits. What We’re Looking For: 🎓 Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Master’s preferred) 💼 Some proven industry experience applying AI or machine learning (internship, placement, or full-time role More ❯

New Contract Opportunity for a multiple Security Cleared Data Scientists with an Industry Leading National Security Consultancy in Cheltenham. Active eDV (West) Required Up to £850 p/d Inside IR35 6-12 month engagement Urgent requirement - ASAP start 3-4 days on site per week in Cheltenham The Role As a Data Scientist, you’ll work within … a multidisciplinary team to extract insight from complex, high-volume datasets. You’ll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills to highly operational challenges in a fast-paced, secure setting. You … ll work closely with engineers, analysts, and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance Enhanced parental leave More ❯