351 to 375 of 772 Data Science Jobs in the UK excluding London

Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety … of data sources using SQL and AWS 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in More ❯

Lead Data Engineer Salary: £85,000–£90,000 + Up to 10% Bonus + 15% Non - Contributory Pension Location: Hybrid working (3 days P/W On-Site) | Edinburgh Level: Lead We’re looking for a Lead Data Engineer to play a key role in expanding our client's data-driven capabilities and driving the evolution of … our enterprise data ecosystem. This is a strategic, hands-on position where you’ll lead the design and delivery of large-scale data solutions that power critical business decisions. You'll work with a high-performing Data & Analytics team on mission-critical systems across Data Warehousing, Data Lakes, BI platforms, and advanced analytics. The role … the opportunity to influence architecture, improve existing processes, and collaborate closely with business and technical teams. 🔧 What you’ll be doing: Leading the design, build, and optimisation of robust data pipelines and platforms Enhancing and scaling existing Data Warehouse, Data Lake, and BI systems Driving end-to-end delivery across ingestion, modelling, transformation, and governance Collaborating with More ❯

Lead Data Engineer Salary: £85,000–£90,000 + Up to 10% Bonus + 15% Non - Contributory Pension Location: Hybrid working (3 days P/W On-Site) |Bristol Level: Lead We’re looking for a Lead Data Engineer to play a key role in expanding our client's data-driven capabilities and driving the evolution of … our enterprise data ecosystem. This is a strategic, hands-on position where you’ll lead the design and delivery of large-scale data solutions that power critical business decisions. You'll work with a high-performing Data & Analytics team on mission-critical systems across Data Warehousing, Data Lakes, BI platforms, and advanced analytics. The role … the opportunity to influence architecture, improve existing processes, and collaborate closely with business and technical teams. 🔧 What you’ll be doing: Leading the design, build, and optimisation of robust data pipelines and platforms Enhancing and scaling existing Data Warehouse, Data Lake, and BI systems Driving end-to-end delivery across ingestion, modelling, transformation, and governance Collaborating with More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute … to exciting projects in a collaborative environment. About the Role: Our client is seeking an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring … data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines, ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you. Key Responsibilities: Design, develop, maintain, and optimise data pipelines, ETL processes, and databases. Drive continuous improvement More ❯

expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: We're looking for a hands-on Data Scientist to develop and deliver deep learning-powered features supporting insurance pricing and product innovation at Liberty Mutual. This role focuses on building robust, scalable feature pipelines-especially from … complex data sources like aerial imagery-and bringing them into production to solve real business problems. You'll work with a small, high-performing team to turn deep learning models into practical, production-ready features used across multiple insurance products. If you have experience in computer vision, scaling data science solutions, and delivering tangible business value, this … Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models and techniques such as ResNet, YOLO, Vision Transformers (ViTs), or similar. Solid understanding of image processing More ❯

Data Analyst | Power BI | Hybrid (UK) Join Reward, where data drives everything — from how people shop to how global brands grow. At Reward, we partner with giants like Visa and Experian, operating at the centre of fintech, loyalty, and customer insight. We're now looking for a Data Analyst to join our growing Data & Insights team … someone who thrives on structure, enjoys working behind the scenes, and takes real pride in delivering clean, accurate data that drives real-world impact. Whether it's preparing insights on food delivery trends or measuring the performance of customer loyalty programmes, the insights you produce will shape commercial decisions for Reward and our clients. This is a data … role, focused on administering, supporting, and delivering industry-leading visual insights using your mastery in Power BI. What you’ll do Prototype new insight products, showing off your best data visualisation skills Develop new visualisation solutions using Power BI — including data modelling and dashboard design Manage Power BI user access structures and permissions Use SQL to query and More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data infrastructure. In this role, you will oversee the development of our foundational data platform — encompassing experimentation … frameworks, event ingestion pipelines, data lakes, governance frameworks, data observability, and real-time analytics capabilities. You will collaborate closely with data scientists, machine learning engineers, backend engineers, and product leaders to ensure our data systems are scalable, secure, observable, and foster innovation across the organization. Key Responsibilities Partner with cross-functional stakeholders in Product, Data, and Engineering to align strategic goals with platform capabilities. Lead and mentor 1–2 engineering squads focused on experimentation, analytics event logging, batch and real-time data infrastructure, observability, and governance. Define and drive the technical roadmap for a modern data platform, enabling reliable, scalable, and efficient analytics and machine learning workflows. Promote engineering best practices, emphasizing More ❯

Your new company An exciting opportunity has arisen for an experienced Data Solution Architect to join our National Data and Analytics (NDA) Platform & Engineering Team for a progressive organisation based in Warwickshire. Here they're building a smarter, data-driven future, and you could be a vital part of it. Your new role As a Data Solution Architect, you'll work in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd … line) Collaborate with business partners, data scientists, and report developers to deliver impactful, data-driven solutions What you'll need to succeed We're looking for someone with strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory More ❯

Your new company An exciting opportunity has arisen for an experienced Data Solution Architect to join our National Data and Analytics (NDA) Platform & Engineering Team for a progressive organisation based in Warwickshire. Here they're building a smarter, data-driven future, and you could be a vital part of it. Your new role As a Data Solution Architect, you'll work in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd … line) Collaborate with business partners, data scientists, and report developers to deliver impactful, data-driven solutions What you'll need to succeed We're looking for someone with strong technical expertise and a passion for solving complex business problems. You'll bring: Strong experience with SQL, SQL Server DB, Python, and PySpark Proficiency in Azure Data Factory More ❯

My client is based in the London area and is currently looking to recruit an experienced Data Scientist to join their team. They are one of the leaders within the consulting space and are currently going through a period of growth, and are looking for an experienced Data Scientist to join their team. They are backed by a … technologies on the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural … slots left. If interested, send an up-to-date CV to Shoaib Khan - S.Khan@TenthRevolution.com or call 0191 338 7493 for a catch-up in complete confidence. TRG's Data Teams offer more opportunities across the UK than any other recruiter We're the proud sponsor and supporter of SQLBits, AWS RE:Invent, Power Platform World Tour, the London More ❯

Marketing Analyst/Consultant - Manchester We are hiring Marketing Specialist with a sharp analytical mind, strong client relationship skills, and a passion for turning complex data into clear, strategic insights. In this role, you'll work at the intersection of data, strategy, and client success-helping global brands across diverse markets harness marketing intelligence to drive performance and … latest in analytics, AI, and ML to design impactful solutions that shape marketing strategies and business outcomes. What You'll Do: Act as a trusted advisor to clients, turning data into actionable marketing insights. Lead data-driven client projects and contribute to commercial growth. Design and implement advanced analytics solutions, including AI and ML. Collaborate with internal teams … across data engineering, science, and implementation. Mentor peers and support thought leadership in marketing intelligence. Requirements: 3+ years in digital analytics, data science, or consultancy. Proficiency in GA4, GTM, BigQuery, GCP, Looker Studio, and modeling. Strong client relationship and communication skills. Please note the role is 2 days a week in Manchester Desired Skills and Experience More ❯

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

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

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

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

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

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

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

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

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

Officer (CTO) | FinTech SaaS | Remote or London Hybrid | £120,000–£150,000 + Equity Company Overview: We are partnered with an early-stage FinTech SaaS startup leveraging AI and data analytics to power smarter financial decisions. The platform transforms raw financial data into predictive insights for institutions, wealth managers, and private equity firms, enabling faster and more informed … team to build a category-defining SaaS product in the financial intelligence space. Responsibilities: • Define and execute the technology strategy and roadmap • Architect and build the core platform, including data pipelines, APIs, and ML infrastructure • Lead and scale a high-performing engineering and data science team • Implement best practices for security, DevOps, and compliance • Collaborate with product … business teams to deliver customer-centric solutions • Represent technology to investors, partners, and enterprise clients Qualifications: • Proven experience building and scaling B2B SaaS products, ideally in FinTech, AI, or data platforms • Strong technical skills across cloud infrastructure, backend architecture, and data analytics • Familiarity with Python, SQL, modern data stacks, and ML workflows • Experience with financial data More ❯

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

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

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

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