1 to 25 of 1,974 Data Science Jobs in the UK excluding London

Job Title: Data Science Architect - Capability and Practice Assessment The Data Science Architect measures how data science is actually done and how mature those processes are Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied … data science, model lifecycle design, and organizational data maturity - capable of analyzing current practices and defining what "best-in-class" looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. More ❯

Job Title: Data Science Architect – Capability and Practice Assessment The Data Science Architect measures how data science is actually done and how mature those processes are Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied … data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. More ❯

Job Title: Data Science Architect – Capability and Practice Assessment The Data Science Architect measures how data science is actually done and how mature those processes are Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied … data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. More ❯

Job Title: Data Science Architect – Capability and Practice Assessment The Data Science Architect measures how data science is actually done and how mature those processes are Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity, this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied … data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity - capable of analyzing current practices and defining what "best-in-class" looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear … actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization. Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to … the development of novel solutions to solve complex business problems. Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team. Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals. Sr. More ❯

Head of Data Science/£160,000 - £175,000 + 30% Bonus/Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are … on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. as the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue …/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant More ❯

Head of Data Science/£160,000 - £175,000 + 30% Bonus/Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are … on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. as the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue …/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant More ❯

Head of Data Science/£160,000 - £175,000 + 30% Bonus/Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are … on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. as the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue …/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant More ❯

Head of Data Science/£160,000 - £175,000 + 30% Bonus/Hybrid Role: Head of Data Science Location: London Salary/Package: £140,000 - £165,000 + Bonus (up to 30 percent) Onsite v Remote: 2-3 days per week in office Our client, one of the most established names in their sector are … on the lookout for a Head of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability. as the Head of Data Science, you will take over a number of teams and be the strategic leader in enhancing current Data Science methods as well as introducing new areas of revenue …/progression for the Data Science department. On top of your responsibilities as Head of Data Science, you will also work closely with AI Engineering based teams as they and you explore possibilities within that sector. If this Head of Data Science role appeals to you, we want to see the following: A brilliant More ❯

Are you passionate about harnessing the power of data and AI to make a real difference in healthcare? The Health Data and Analytics team is dedicated to transforming health outcomes through innovative data-driven solutions. Our goal is to optimise operations, improve patient care, and deliver measurable value across the organisation by leveraging advanced analytics, machine learning … and AI techniques. We're committed to building a culture where data is at the heart of decision-making, enabling us to achieve better efficiency, cost savings, and customer outcomes. As the Head of Data Science and AI, you'll be at the forefront of this mission, providing strategic leadership and shaping the future of our data … vision for how AI and machine learning can unlock value across the organisation, develop a clear roadmap to turn that vision into reality, and lead a talented team of data scientists. Your role involves building end-to-end data science solutions, leveraging our cloud-based data lake, and working closely with stakeholders to embed a data More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity - capable of analyzing current practices and defining what "best-in-class" looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

Role Summary The Data Science Architect will assess the maturity and effectiveness of data science practices across teams, focusing on how data science is structured, executed, and governed within the organization. Unlike the AI Architect, who evaluates individual AI capability, and the Data & AI Architect, who focuses on technical systems and platform maturity … this role centers on evaluating analytical workflows, modeling standards, experimentation culture, and applied business impact . This position is ideal for someone with a strong background in applied data science, model lifecycle design, and organizational data maturity — capable of analyzing current practices and defining what “best-in-class” looks like for scalable, responsible, and high-impact data science operations. Key Responsibilities • Practice Maturity Assessment: Evaluate current data science processes, tools, and team structures to determine capability strengths, weaknesses, and improvement areas. • Framework Design: Develop and apply a structured maturity model to assess how data science work is conceived, executed, validated, and scaled. • Model Lifecycle Review: Assess practices across data preparation More ❯

We are seeking a VP Data Science to lead our Data Science function within Planning Agent, our AI-powered advertising planning platform used daily by IPG agency teams. This role will shape the future of agentic AI in marketing technology, driving innovation in how planners interact with intelligent systems across optimization, allocation, and planning workflows. While … such as media briefs and contextual data. This combination allows planners to make decisions that are both reliable and informed by real-world context. As the leader of our Data Science organization, you will oversee a team of 10+ senior data scientists distributed across Europe, guiding them in the design, implementation, and productizing of multi-agent workflows. … While grounded in technical leadership, this role blends strategy and hands-on expertise: setting the data science roadmap, ensuring delivery at scale to build reliable, production-ready agents. This is a leadership role with strong technical depth. You'll serve as both a coach and an architect of the team, shaping best practices for data science More ❯

Principal Consultant – Data Science & AI - Southwest of England 💰 £80,000 – £100,000 base 📍 Hybrid – client-facing (multiple days per week on-site) 🔒 SC Cleared or SC Clearable – Essential About the role We’re looking for a Principal Consultant in Data Science & AI to lead client engagements that transform how organisations use data. Working as part of … a small, high-impact Data Science & AI squad (typically paired with a Senior Consultant), you’ll design and deliver advanced data-driven solutions — from Proof of Concept through MVP, Alpha and Beta stages . You’ll spend multiple days per week on client site , engaging face-to-face with stakeholders, shaping strategy, and translating cutting-edge data science into business value. Because of the nature of our clients, SC Clearance (or the ability to obtain it) is non-negotiable . What you’ll do Lead the end-to-end delivery of Data Science and AI projects for enterprise clients. Architect and validate data models, ML pipelines, and LLM-powered solutions. Oversee Proof More ❯

Principal Consultant – Data Science & AI - Southwest of England 💰 £80,000 – £100,000 base 📍 Hybrid – client-facing (multiple days per week on-site) 🔒 SC Cleared or SC Clearable – Essential About the role We’re looking for a Principal Consultant in Data Science & AI to lead client engagements that transform how organisations use data. Working as part of … a small, high-impact Data Science & AI squad (typically paired with a Senior Consultant), you’ll design and deliver advanced data-driven solutions — from Proof of Concept through MVP, Alpha and Beta stages . You’ll spend multiple days per week on client site , engaging face-to-face with stakeholders, shaping strategy, and translating cutting-edge data science into business value. Because of the nature of our clients, SC Clearance (or the ability to obtain it) is non-negotiable . What you’ll do Lead the end-to-end delivery of Data Science and AI projects for enterprise clients. Architect and validate data models, ML pipelines, and LLM-powered solutions. Oversee Proof More ❯

Principal Consultant – Data Science & AI - Northwest of England 💰 £80,000 – £100,000 base 📍 Hybrid – client-facing (multiple days per week on-site) 🔒 SC Cleared or SC Clearable – Essential About the role We’re looking for a Principal Consultant in Data Science & AI to lead client engagements that transform how organisations use data. Working as part of … a small, high-impact Data Science & AI squad (typically paired with a Senior Consultant), you’ll design and deliver advanced data-driven solutions — from Proof of Concept through MVP, Alpha and Beta stages . You’ll spend multiple days per week on client site , engaging face-to-face with stakeholders, shaping strategy, and translating cutting-edge data science into business value. Because of the nature of our clients, SC Clearance (or the ability to obtain it) is non-negotiable . What you’ll do Lead the end-to-end delivery of Data Science and AI projects for enterprise clients. Architect and validate data models, ML pipelines, and LLM-powered solutions. Oversee Proof More ❯

Data Analyst (S/4 HANA) up to 45k+ Bonus South East ABJ7664 HYBRID 3:2 As Data Analyst and part of a global IT project team, you will play a key role in managing and maintaining data assets, ensuring integrity, consistency, and usability across the company in SAP. As data analyst you will support the … transition to SAP S/4HANA and SAP Master Data Governance (MDG), contributing to the implementation of data administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct … data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP More ❯

Role: Data Scientist Business Unit: Bioscript Data Insights Location: Glasgow, Scotland (Hybrid) About Us Established in 2005, Bioscript Group is formed from multiple, specialist businesses to support our global pharmaceutical clients; we draw on their multidisciplinary expertise to help navigate critical decisions at key points in the product lifecycle. Our scientific and strategic expertise help our clients make … better decisions. We provide medical communication services, market access consulting and regulatory writing support with deep domain expertise to effectively navigate complex disease areas. The Opportunity The Data Scientist supports the delivery of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Data Scientist plays a … pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities Leadership and Strategy: Providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to other data scientists, fostering a culture of growth and excellence. Collaborate with cross-functional teams to More ❯

Role: Data Scientist Business Unit: Bioscript Data Insights Location: Glasgow, Scotland (Hybrid) About Us Established in 2005, Bioscript Group is formed from multiple, specialist businesses to support our global pharmaceutical clients; we draw on their multidisciplinary expertise to help navigate critical decisions at key points in the product lifecycle. Our scientific and strategic expertise help our clients make … better decisions. We provide medical communication services, market access consulting and regulatory writing support with deep domain expertise to effectively navigate complex disease areas. The Opportunity The Data Scientist supports the delivery of the Bioscript Data Insights team and supports the development and execution of data insights within the Bioscript Group. The Data Scientist plays a … pivotal role in helping shape our data strategy, designing, and implementing advanced data analytics solutions. Key Responsibilities Leadership and Strategy: Providing mentorship, guidance, and fostering a collaborative and innovative environment. Excellent leadership, communication, and interpersonal skills. Provide supervision and mentorship to other data scientists, fostering a culture of growth and excellence. Collaborate with cross-functional teams to More ❯