826 to 850 of 2,281 Data Science Jobs in the UK

Software Engineer- Python- Data Science and Machine Learning Team The RJC Group is looking for an experienced Software Engineer to join a growing Data Science & Machine Learning team within a global energy and commodities company. This is a hands-on role building the tools, pipelines, and infrastructure that power real-world ML applications across commercial and … operational areas. What You’ll Do Work with data scientists to deliver scalable ML solutions Build and maintain clean, reliable data pipelines and internal tools Collaborate with technical and non-technical stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML More ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for … and help develop cutting-edge analytics that improve the safety and efficiency of complex engineering systems. This is a fantastic opportunity to work at the intersection of mechanical engineering, data science, and software development transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst you will be doing: Developing … implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data More ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for … and help develop cutting-edge analytics that improve the safety and efficiency of complex engineering systems. This is a fantastic opportunity to work at the intersection of mechanical engineering, data science, and software development transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst you will be doing: Developing … implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data More ❯

Engineering Analyst, Data Analyst, Data Scientist, Mechanical engineering, Structural Condition Monitoring, Python, SCADA, Git - East Midlands, Hybrid working - up to 50K About the opportunity Are you an engineer with a passion for data-driven problem solving and structural analysis? I'm working with an innovative company at the forefront of condition monitoring technology. They're looking for … and help develop cutting-edge analytics that improve the safety and efficiency of complex engineering systems. This is a fantastic opportunity to work at the intersection of mechanical engineering, data science, and software development transforming complex performance data into scalable, real-world solutions that make a genuine impact. As an Engineering Analyst you will be doing: Developing … implementing analytical models to monitor structural health, performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world operational data More ❯

Payments Optimisation Reporting to: Chief Product & Technology Officer Direct Reports: Currently iC Role Location: London HQ - 3 days in office, 2 days home OVERVIEW: Are you passionate about using data, technology, and payments expertise to drive tangible customer value? We're looking for an experienced and commercially minded Senior Product Manager, Payments Optimisation to lead the evolution of our … optimisation and orchestration products, scaling them to the next level. You'll operate at the intersection of Product, Data Science, and Commercial teams, translating analytical insights into measurable business outcomes for our customers and for APEXX. This role is ideal for someone who enjoys connecting complex technical capabilities with commercial value, inspiring cross-functional alignment, and ensuring optimisation … evolution of optimisation from a capability into a scalable product line, influencing its positioning, packaging, and monetisation. Provide thought leadership across the organisation on the role of AI and data-driven optimisation in payments. Cross-Functional Collaboration & Delivery Partner with Engineering and Data Science to develop AI/ML-powered optimisation features that improve authorisation, reduce cost More ❯

About WillHire WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our Artificial Intelligence Internship Cohort. Role Overview As a Artificial Intelligence Intern at WillHire, you will collaborate with … our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models … for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex … datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. … Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a More ❯

Overview dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail, one of … passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and algorithms to create dunnhumby science solutions that can be delivered across our clients and engineered into science modules. This role will focus on how we ensure better decisions are made as part of category management, ensuring the right product is in the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and More ❯

Role title: Data Scientist Specialist Location: Bristol Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of … and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO. We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and More ❯

Role: Data Scientist Associate Manager Location: London Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of … and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and More ❯

Work experience in data science, machine learning, and business analytics. Skills and Experience Practical experience in coding languages (e.g., Python, R, Scala ) with a preference for Python. Strong proficiency in database technologies such as SQL, ETL, No-SQL, DW. Accenture is a global professional services company offering expertise in digital, cloud, and security solutions across various industries worldwide. More ❯

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small … of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively … with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯

Remote/work from home options Casual work attire Flexible schedule Looking for data-driven Customer Success jobs within a dynamic, startup environment? Eager to boost your career as a Client Success Executive in London? Are you a self-starter with core fundamentals in data and a desire to provide client support? This role could be for you … apply today! Company profile - Data Commerce/Marketplace In this Customer Success Executive role, you will join a leading data commerce platform that enables organisations to accelerate their data-driven transformations. The platform is used by Fortune 500 companies in a range of capacities, from data commerce for the private data marketplace to cross-function … collaboration and data distribution in any environment. Having developed key partnerships with a range of international businesses, and with several new projects in the pipeline, this company are excited to offer a fixed-term opportunity to join the Account Management team at this pivotal point in the company's growth. Job description - Customer Success Associate In this Client Success More ❯

You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights. About the role In this role you will … and the following experience and knowledge:Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.5+ years of experience in data science, preferably with a focus on time series forecasting, FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.Experience in application More ❯

Data Analyst Milton keynes - Hybrid (2 days on site)Salary - Up to £33,000 + Bonus & other benefits Want to become a Data Analyst and fast-track your career in consulting? We’re recruiting on behalf of a global consultancy that’s looking for ambitious graduate Data Analysts to join their growing team in Milton Keynes . … If you’re passionate about data, eager to learn, and ready to make an impact, this is your chance to become a Consultant within just 12 months.As a Graduate Data Analyst, you’ll work on real client projects from day one, using the latest tools in analytics, AI, and data transformation. You’ll be supported with structured … Milton Keynes, with 2 days a week in the office — Mondays and Fridays , giving you the flexibility to balance collaboration and focus.What you’ll be doing: Working as a Data Analyst to uncover insights and trends Designing data models and transformation processes Building dashboards and visualisations for business users Translating business needs into technical solutions Collaborating with consultants More ❯

Senior Data Engineer | 3-Month Contract (Possible Extension) | £550-£650p/day | Fully Remote | GCP, MongoDB, PostgreSQL | Start: Immediately About the Role On behalf of a leading healthcare technology company , we're looking for a Senior Data Engineer to join on an initial 3-month contract. This is an exciting opportunity to help shape scalable, data-driven … systems that support innovation in the healthcare sector. The focus is pure data engineering. You'll be building and optimising pipelines, coding solutions against live data, and ensuring performance at scale within a modern cloud-native environment. Key Responsibilities Design, build, and maintain data pipelines and architectures in Google Cloud Platform (GCP) . Develop MongoDB solutions from … scratch , managing live/streaming data. Write, optimize, and tune PostgreSQL queries for large-scale workloads. Work with microservices, event-driven systems, and distributed architectures to support complex data flows. Collaborate with product, data science, and engineering teams to ensure data availability, quality, and performance. Key Skills & Experience Proven expertise in GCP data engineering tools More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London . This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career … defining role . 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience … as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background More ❯