1,501 to 1,525 of 2,635 Data Science Jobs in the UK

Product Analyst Hybrid 2 days in the office - Aldgate, London up to £60,000 Are you a data-driven thinker who loves uncovering insights that shape real product decisions? This is an opportunity to join a fast-growing global tech business with millions of users across the world, helping to drive its next phase of growth through smarter data and sharper insight. As Product Analyst , you will be part of a collaborative Data Science team that works at the heart of the company's strategy. Your mission: understand how users behave, identify what drives engagement, and turn numbers into narratives that power product innovation and commercial success. Role & Responsibilities: Analyse user behaviour and key metrics across … provide analytical input across the full product lifecycle, from ideation to experimentation. Design and run A/B tests, interpreting results to guide product strategy and feature development. Create data models and views to support multiple business needs in collaboration with data engineers. Train and support business users in using BI tools effectively to drive better decision-making. More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

Insight Global is looking for a AI Engineer for one of their premier Energy Trading clients in London, UK. The AI Engineer will join a vibrant team of Data Scientists and ML Engineers working with the Trading & Supply Capability Center (CC). He or she will be responsible for initiating, development and deployment of GenAI solutions/products in … include: Lead the technical direction of GenAI focused projects and initiatives Mentor junior AI engineers and help software engineers upskill on GenAI relevant techniques and tools Working within the Data Science and ML team to build and deploy GenAI solutions to production, using existing and emerging methods and technologies that could be effectively applied to use cases Build … evaluation systems and processes to ensure GenAI Tooling performs at a high standard Help guide and define strategic ambitions relevant to GenAI tooling and projects Work closely with Infrastructure, data engineering and DevOps teams to increase deployment velocity, including the process for deploying tools into production Work closely with Product Management to translate product requirements into robust, customer-agnostic More ❯

I'm working with a global professional services firm to hire for a AI Data Scientist in Glasgow (hybrid). Their combining world-class expertise with cutting-edge technology, data science, and automation to create smarter, faster, and more efficient solutions both in-house and for their international clients. Read on to find out what you will … need to succeed in this position, including skills, qualifications, and experience. This is a brand-new role for an AI Data Scientist who's ready to make a genuine impact. You'll be the first hire in a growing AI function, giving you the freedom to shape the technical direction and build powerful AI capabilities from the ground up. … gen AI solutions using Microsoft Azure, M365, and Retrieval-Augmented Generation (RAG) systems. You'll fine-tune large language models (LLMs) for legal-specific applications, uncover insights from complex data, and turn these into intelligent, data-driven decisions that power real business outcomes. Collaboration will be key as you'll work closely with designers, engineers, and product managers More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

is to deliver independent, accurate, and actionable research and advisory services. We empower the world’s most innovative corporations, technology and services vendors, and investors with granular insights and data-driven analysis. Our team is a curious, collaborative group of expert analysts, data engineers, commercial specialists, creative professionals, and thought leaders working together to help clients achieve their … with a preference for top-tier universities – desirable to have a relevant MSc, MBA or PhD Priority given to technical degrees with a strong focus on AI (e.g. Computer Science, Software Engineering, Artificial Intelligence, Data Science etc.) Experience in conducting research interviews and contributing to the development of research reports Proven ability to quickly write high quality … reports for a business audience. Quantitative skills and knowledge of Excel to manipulate large data sets and apply mathematical concepts. Experience in interviewing senior individuals across product, marketing and other role types to collect business or strategic information. Demonstrable passion for AI, stays informed on market developments and emerging technologies. Proactive in identifying hot research topics, commercial opportunities and More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure More ❯

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of … data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of deploying AI models into production environments. Experience with data More ❯

lead the design, implementation, and continuous improvement of pricing strategies that drive profitability while maintaining market competitiveness. This role is pivotal in strengthening pricing intelligence and enabling real-time, data-driven decision-making to support business growth. Role: Revenue Management Analyst Salary: Upon Application Location: Hemel Hempstead Key Responsibilities: Create and maintain a standardised pricing structure for all products … Design, implement, and manage pricing models to support bids, tenders, and quoting processes. Conduct in-depth analysis of historical sales, market trends, competitor activity, customer segmentation, and product lifecycle data to inform strategic pricing decisions. Collaborate cross-functionally with sales, finance, and procurement teams to ensure pricing decisions are commercially and operationally viable. Monitor customer-specific pricing and margin … performance, flagging opportunities for improvement. Maintain pricing data integrity within ERP and reporting systems. Deliver regular reports and dashboards with insights into pricing KPIs, profitability, and market trends. Required Skills & Experience for the role: All Applicants Must hold the right to work and live in the UK. Bachelor's degree in Business, Finance, Economics, Mathematics, or a related quantitative More ❯

recognized consulting firm and a trusted partner in digital transformation. Founded in 2015, our services span Assessment and Strategy, Technology Implementation, and Managed Services in API Management and Integration, Data Management, Digital Application Development, and Data Science and AI. We are proud to exceed industry standards for project success, thanks to our expert focus on program and … to ensure seamless API adoption and runtime stability. Provide technical leadership, documentation, and mentorship to development and platform engineering teams. Qualifications Bachelor's/Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 8+ years of experience. Strong hands-on experience in API design and proxy development using Apigee Edge, X, and/ More ❯

Excellent communication and collaboration skills. A positive, proactive attitude and the ability to work well as part of a team. Qualifications & Experience: A degree in any discipline (e.g. Computer Science, Mathematics, Physics, Engineering, Data Science or similar) or equivalent experience such as self-taught programming or relevant project work. Some exposure to programming (for example, through coursework More ❯

Engineering and Operations teams. This role offers a unique opportunity to work with a highly specialised user base at Williams Racing on state-of-the-art simulations, real time data, bespoke analysis tools, and enabling operational excellence. We view software and data as critical drivers in our mission to advance up the grid. Your contributions will have a … services in C# and Typescript, and analysis tools in Python and other scientific computing languages. As part of our modernization journey, we are adopting cloud native technologies alongside modern data platforms. Key responsibilities will include: Collaborating with product managers and users to gather requirements and translate them into technical specifications Working with the wider Software Development team to develop … Enhancing existing systems to adapt to changing requirements, increase reliability, and improve performance at scale Collaborating with other technology groups in the company to enhance and develop the shared data platform and services Conduct code reviews and mentor junior developers to ensure best practices and improve quality Streamlining our own software development process, enabling us to deliver more to More ❯

Engineering and Operations teams. This role offers a unique opportunity to work with a highly specialised user base at Williams Racing on state-of-the-art simulations, real time data, bespoke analysis tools, and enabling operational excellence. We view software and data as critical drivers in our mission to advance up the grid. Your contributions will have a … services in C# and Typescript, and analysis tools in Python and other scientific computing languages. As part of our modernization journey, we are adopting cloud native technologies alongside modern data platforms. Key responsibilities will include: Collaborating with product managers and users to gather requirements and translate them into technical specifications Working with the wider Software Development team to develop … Enhancing existing systems to adapt to changing requirements, increase reliability, and improve performance at scale Collaborating with other technology groups in the company to enhance and develop the shared data platform and services Conduct code reviews and mentor junior developers to ensure best practices and improve quality Streamlining our own software development process, enabling us to deliver more to More ❯

s leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected … opportunities, we ensure they get the funds they need - often within minutes. The team The Finance Technology team builds and maintains the payment infrastructure and financial data systems that power iwoca's growth. We partner with Finance to build scalable tools and support other product teams to launch new products with the right payment and data foundations. The … hybrid, based in London. The role As a Staff Back End Engineer in the Finance Technology team, you'll lead the technical design and development of iwoca's financial data systems, starting with a new credit card ledger - a critical component for product expansion. You'll work with stakeholders across Finance to shape architecture, ensure accuracy and scalability, and More ❯

Data Engineer Location: London (4 days/week in office) We are working with a world leading E-commerce company who have a platform used by millions worldwide and data is at the heart of it. Were looking for a Data Engineer to join the platform team. Youll help design, build, and run pipelines and services on … a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. Develop our Lakehouse (AWS S3 + Iceberg) Ensure data is trustworthy, accessible, and reusable Support compliance with global data regulations Good working experience in data engineering Strong SQL & relational DBs (Postgres/MySQL) Coding experience in … Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯

operational optimisation, and strategic decision-making. This is a fantastic opportunity for a skilled Machine Learning Engineer to build and deploy scalable, production-level ML solutions, working closely with Data Scientists and cross-functional teams to drive measurable business impact. You’ll play a pivotal role in integrating machine learning models into end-to-end pipelines, supporting strategic initiatives … real-time and offline platforms. Develop scalable model APIs with strong CI/CD and observability practices. Implement model testing, monitoring, and rollback capabilities in production environments. Collaborate with Data Scientists to translate prototypes into reliable, maintainable ML applications. Identify opportunities to develop new ML solutions in partnership with Data Science teams. Platform & Tooling Automate and standardise … standards. Complete all mandatory compliance training and engage with compliance teams for clarification when needed. What You’ll Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data More ❯