176 to 200 of 1,090 Data Science Jobs in the UK

projects that impact patients worldwide while developing skills that will set you apart in your future career. Role The regulatory environment is complex, highly data driven, and continuously evolving. This creates an ideal setting for an Apprentice to develop strong analytical and technical skills while contributing to meaningful organisational … outcomes. As a Data Science Apprentice, you will work within Global Regulatory and International Operations and Quality Oversight to explore data, generate insights, and support the improvement of critical business processes. Job Responsibilities Data analysis & Insight Generation Source, access and manipulate regulatory and quality datasets ...

Overview Chambers and Partners is seeking a Lead Product Manager with deep expertise in data and analytics to drive the vision, strategy, and delivery of our data products. This is a high-impact role, leading cross-functional teams to translate strategic objectives into innovative, insight-driven solutions that … issues and advice on expected interview topics/questions. Main Duties and Responsibilities Product Direction & Roadmaps Develop and communicate a clear direction for our data products, aligned with our strategic and commercial goals. Translate strategy into actionable product roadmaps that provide clarity and focus for delivery teams. Product Development ...

Senior Data Engineer, Azure London (Hybrid) £90,000 + bonus + excellent benefits Azure Data Factory, Databricks, Python, SQL Senior Data Engineer is required to join a leading London-based insurance organisation with offices in the heart of the city. Working within a high-impact, specialist data team this role will see you building and evolving a modern Azure-based Data Lakehouse, supporting underwriting insight, analytics and decision-making at scale. You will work closely with senior business stakeholders, regional data teams and IT, combining hands-on engineering with input into solution design, standards ...

Your new company An organisation with a strong social mission, dedicated to improving lives through data-driven decision-making and high standards of information integrity. You'll join a team that values collaboration, innovation, and excellence, where data plays a critical role in shaping impactful services and outcomes. … Your new role As a Data Quality and Protocols Officer, you will ensure that the organisation's data assets are accurate, consistent, and fit for purpose. You'll implement and maintain data protocols, standards, and governance practices, supporting compliance and enabling informed decision-making across teams. Acting ...

site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. … cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside ...

Senior Data Analyst Location: [Leeds | Full-Time | Department: Data & Analytics Reports to: Head of Data Are you passionate about turning data into insights that drive real business impact? Do you thrive in a collaborative environment where innovation and curiosity are celebrated? We're looking … Senior Data Analyst to join our growing Data & Analytics team and help shape the future of data-driven decision-making across the organisation. What You'll Be Doing As a Senior Data Analyst, you'll be at the heart of our data strategy — transforming complex ...

Senior Data Engineer – Azure ** 5 days a week onsite - Central London ** £70,000 - £80,000 per annum About the Role One of the UK's leading insurers are looking for a Senior Data Engineer with a primary focus on Azure to lead the design and implementation of scalable … enterprise-grade data solutions. This role will play a key part in building real-time and ETL/ELT data pipelines, maintaining and optimising our data warehouse, and delivering advanced analytics through Power BI. You will also contribute to innovative AI-driven solutions, including the development ...

Senior Data Engineer – Azure ** 5 days a week onsite - Central London ** £70,000 - £80,000 per annum About the Role One of the UK’s leading insurers are looking for a Senior Data Engineer with a primary focus on Azure to lead the design and implementation of scalable … enterprise-grade data solutions. This role will play a key part in building real-time and ETL/ELT data pipelines, maintaining and optimising our data warehouse, and delivering advanced analytics through Power BI. You will also contribute to innovative AI-driven solutions, including the development ...

Backend Developer to support a major digital programme delivering secure, scalable backend systems. This role focuses on building modern cloud-based microservices, APIs, and data processing services in a highly collaborative and delivery-driven environment. You will work closely with multidisciplinary teams including data scientists, analysts, and operational … that can be leveraged across multiple programmes. Key Responsibilities Design, develop, and maintain backend services within a microservices architecture. Build secure, scalable APIs for data exchange between systems. Develop and deploy cloud-native services using AWS infrastructure. Build and manage microservices for data ingestion and processing workflows. Host ...

Role – Senior Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development … best practices in AI/ML engineering. Required •Minimum 7 years of experience in Information Technology. •Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years ...

Role – Senior Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development … best practices in AI/ML engineering. Required •Minimum 7 years of experience in Information Technology. •Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years ...

Role – Senior Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development … best practices in AI/ML engineering. Required •Minimum 7 years of experience in Information Technology. •Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years ...

Senior Data Engineer/Data Scientist sought by leading investment bank based in the city of London.**Inside IR35 - 4 days a week on site** Overview Data Engineer/Data Scientist role supporting Front Office operations with expertise in data engineering, and stakeholder management … investment banking environment. Key Responsibilities Build data pipelines for real-time and batch processing of financial data Partner with traders, portfolio managers, and risk teams to deliver analytics solutions Ensure compliance with regulatory reporting requirements Optimize data models for front office metrics and P&L reporting Troubleshoot ...

Data Engineer – Modern Data & AI Platforms London (Hybrid 2 days) | Contract/Permanent | 🌍 Global Consulting Environment Build the data foundations behind AI, automation, and real-world impact. We’re hiring a Data Engineer to join a fast-growing digital and data practice working with … client operating across energy, manufacturing, chemicals, infrastructure, automotive, and commodities. This is a hands-on engineering role where you’ll design and run the data systems that power analytics, automation, and AI-driven solutions — working alongside consultants, analysts, and data scientists in a true delivery-focused environment. ...

Senior Data Scientist £45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Senior Data Scientist Area : National Security Projects Location: London (Hybrid) - 3 days per week Security : Eligibility for Developed Vetting Clearance with the UK Government … Salary: Up to £65k + £7k annual DV bonus (once obtained) About the Role: This is a unique opportunity to apply advanced data science in the national security domain. You'll work with highly sensitive, complex dataset s that you won't find anywhere else, solving problems that ...

Data Engineer Location: Sheffield (Hybrid - 3 days per week onsite) Salary: £50,000-£60,000 depending on experience DCS Tech are searching for an experienced Data Engineer to join our clients growing team! You will play a crucial part in designing, building, and optimising the data infrastructure … that underpins the organisation. Key responsibilities Design, develop, and deploy scalable, secure, and reliable data pipelines using modern cloud and data engineering tools. Consolidate data from internal systems, APIs, and third-party sources into a unified data warehouse or data lake environment. Build and maintain ...

looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment. What You’ll Be Doing Operationalising machine learning models and ensuring they … move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering, or applied data ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...