201 to 225 of 1,082 Remote Data Science Jobs

For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership . Role – We are looking for a talented Analytics Engineer to join our growing data and analytics team. You will play a pivotal role in shaping the organisation’s data-driven strategy, working across data engineering, analytics, and business domains to design … scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge between engineering teams … and business stakeholders , translating requirements into data solutions. Design, build, and maintain data pipelines and transformations that turn raw data into structured, analysis-ready datasets. Develop and optimise data models (including Data Vault and dimensional modelling) to support large-scale analytics. Implement and enforce data quality, governance, and validation frameworks . Write complex SQL More ❯

For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership . Role – We are looking for a talented Analytics Engineer to join our growing data and analytics team. You will play a pivotal role in shaping the organisation’s data-driven strategy, working across data engineering, analytics, and business domains to design … scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the bridge between engineering teams … and business stakeholders , translating requirements into data solutions. Design, build, and maintain data pipelines and transformations that turn raw data into structured, analysis-ready datasets. Develop and optimise data models (including Data Vault and dimensional modelling) to support large-scale analytics. Implement and enforce data quality, governance, and validation frameworks . Write complex SQL More ❯

Contact: callum.bell@forsythbarnes.com About the Role Forsyth Barnes is supporting a fast-growing global technology company in its search for a Senior Director of Product Management to lead internal data platforms, tools, and capabilities. This is a strategic leadership role with company-wide impact, driving innovation, scalability, and responsible AI adoption across the business. The role will lead a … team of 15+ product managers, collaborating closely with engineering, data science, and analytics teams to ensure the company has a modern, secure, and trusted data ecosystem that accelerates innovation and business outcomes. Key Responsibilities Strategic vision: define and communicate a company-wide data product strategy aligned with long-term objectives Roadmap ownership: deliver a cohesive roadmap … across internal data platforms, governance, experimentation, and enablement, focusing on measurable business impact Platform scaling: ensure internal data infrastructure meets evolving user needs, increases velocity, and supports AI-driven innovation Federated data culture: establish standards, tooling, and guidance enabling teams across the organisation to produce and consume trusted data Product execution: partner with engineering, analytics, and More ❯

Contact: callum.bell@forsythbarnes.com About the Role Forsyth Barnes is supporting a fast-growing global technology company in its search for a Senior Director of Product Management to lead internal data platforms, tools, and capabilities. This is a strategic leadership role with company-wide impact, driving innovation, scalability, and responsible AI adoption across the business. The role will lead a … team of 15+ product managers, collaborating closely with engineering, data science, and analytics teams to ensure the company has a modern, secure, and trusted data ecosystem that accelerates innovation and business outcomes. Key Responsibilities Strategic vision: define and communicate a company-wide data product strategy aligned with long-term objectives Roadmap ownership: deliver a cohesive roadmap … across internal data platforms, governance, experimentation, and enablement, focusing on measurable business impact Platform scaling: ensure internal data infrastructure meets evolving user needs, increases velocity, and supports AI-driven innovation Federated data culture: establish standards, tooling, and guidance enabling teams across the organisation to produce and consume trusted data Product execution: partner with engineering, analytics, and More ❯

Contact: callum.bell@forsythbarnes.com About the Role Forsyth Barnes is supporting a fast-growing global technology company in its search for a Senior Director of Product Management to lead internal data platforms, tools, and capabilities. This is a strategic leadership role with company-wide impact, driving innovation, scalability, and responsible AI adoption across the business. The role will lead a … team of 15+ product managers, collaborating closely with engineering, data science, and analytics teams to ensure the company has a modern, secure, and trusted data ecosystem that accelerates innovation and business outcomes. Key Responsibilities Strategic vision: define and communicate a company-wide data product strategy aligned with long-term objectives Roadmap ownership: deliver a cohesive roadmap … across internal data platforms, governance, experimentation, and enablement, focusing on measurable business impact Platform scaling: ensure internal data infrastructure meets evolving user needs, increases velocity, and supports AI-driven innovation Federated data culture: establish standards, tooling, and guidance enabling teams across the organisation to produce and consume trusted data Product execution: partner with engineering, analytics, and More ❯

Contact: callum.bell@forsythbarnes.com About the Role Forsyth Barnes is supporting a fast-growing global technology company in its search for a Senior Director of Product Management to lead internal data platforms, tools, and capabilities. This is a strategic leadership role with company-wide impact, driving innovation, scalability, and responsible AI adoption across the business. The role will lead a … team of 15+ product managers, collaborating closely with engineering, data science, and analytics teams to ensure the company has a modern, secure, and trusted data ecosystem that accelerates innovation and business outcomes. Key Responsibilities Strategic vision: define and communicate a company-wide data product strategy aligned with long-term objectives Roadmap ownership: deliver a cohesive roadmap … across internal data platforms, governance, experimentation, and enablement, focusing on measurable business impact Platform scaling: ensure internal data infrastructure meets evolving user needs, increases velocity, and supports AI-driven innovation Federated data culture: establish standards, tooling, and guidance enabling teams across the organisation to produce and consume trusted data Product execution: partner with engineering, analytics, and More ❯

Contact: callum.bell@forsythbarnes.com About the Role Forsyth Barnes is supporting a fast-growing global technology company in its search for a Senior Director of Product Management to lead internal data platforms, tools, and capabilities. This is a strategic leadership role with company-wide impact, driving innovation, scalability, and responsible AI adoption across the business. The role will lead a … team of 15+ product managers, collaborating closely with engineering, data science, and analytics teams to ensure the company has a modern, secure, and trusted data ecosystem that accelerates innovation and business outcomes. Key Responsibilities Strategic vision: define and communicate a company-wide data product strategy aligned with long-term objectives Roadmap ownership: deliver a cohesive roadmap … across internal data platforms, governance, experimentation, and enablement, focusing on measurable business impact Platform scaling: ensure internal data infrastructure meets evolving user needs, increases velocity, and supports AI-driven innovation Federated data culture: establish standards, tooling, and guidance enabling teams across the organisation to produce and consume trusted data Product execution: partner with engineering, analytics, and More ❯

grocery and convenience partners across the globe. About this role: This is more than a management role; it's a leadership opportunity. You will lead a diverse team of Data Scientists and Operations Research Scientists across Europe and North America, acting as the primary architect of their culture. Your mission is to build an environment of high psychological safety … principles of fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a … track record of successfully evolving existing systems and innovating with new solutions. MLOps & Modern Practices : Strong understanding of modern data science and MLOps practices, including model lifecycle management, experimentation, and CI/CD. Core Programming & Software Craftsmanship : Proficiency in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time More ❯

seeking a Senior Product Manager to lead AI strategy and turn innovative ideas into scalable product deployments. This is a key hire in the expansion of our AI and data capabilities, with a clear mandate to design and commercialise new AI-driven solutions that strengthen our product offering and customer outcomes. You’ll partner closely with the senior leadership … Own and deliver the AI product roadmap, from discovery to market launch. Identify, validate, and prioritise opportunities that create quantifiable customer and business value through AI. Collaborate with engineering, data science, and GTM teams to ensure timely, high-impact delivery of AI solutions. Define clear goals and success metrics to drive adoption and prove ROI. Conduct deep qualitative … discovery with users to understand challenges and co-design effective, data-driven solutions. Develop commercial AI features that extend our competitive advantage and expand market potential. Champion emerging trends in AI/ML and embed scalable AI capabilities across product teams. What You’ll Bring 5+ years of technical product management experience, including at least 3 years leading AI More ❯

Data & Analytics – Data Scientist 📆 6-Month Contract | 🌍 Primarily Remote | 💰 Inside IR35 📍 Location: Hybrid – mainly remote. Occasional client travel may be required (pre-approved and reimbursed by the client). 💷 Rate: £327 – £393/day (PAYE) £435 – £522/day (Umbrella) (Inside IR35) 🚀 About the Role We’re seeking a skilled Data Scientist to join our Data & Analytics team for a 6-month project focused on AI in Commercial Banking. You’ll lead end-to-end data science activities from data collection and cleaning to analysis, modelling, and insight generation working closely with client teams to deliver actionable, AI-driven outcomes that power smarter business decisions. 🎯 Key Responsibilities As a Data Scientist … you’ll: 🔹 Collect, clean, and preprocess structured and unstructured data from diverse internal and external sources. 🔹 Perform exploratory data analysis (EDA) to uncover patterns, trends, and anomalies. 🔹 Design and build data pipelines with engineering teams to produce model-ready datasets. 🔹 Apply feature engineering and selection techniques to enhance model accuracy and interpretability. 🔹 Develop and validate machine learning More ❯

Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. … leading job platform. Job Description We're seeking an experienced Talent Acquisition Partner to join our dynamic tech company and drive recruitment excellence across our Product, Design, Engineering, and Data Science teams. This is a strategic role where you'll partner with hiring managers to build world-class teams while scaling our talent acquisition processes. You'll be … at the forefront of innovative recruiting practices, leveraging AI tools and data-driven insights to attract top-tier talent in a competitive market. The ideal candidate thrives in fast-paced environments and has a proven track record of delivering exceptional hiring outcomes for technical roles. Your responsibilities End-to-end recruitment management - Own the full recruitment lifecycle from role More ❯

Robert Half have partnered with a market leading property development organisation for an experienced Azure Data Engineer to join their data and analytics team, on an initial 3-6 month contract based out of their London office The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines in the Azure cloud … environment, with hands-on experience in modern data platforms and ETL frameworks. Key Responsibilities: Design, develop, and maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting, analytics, and machine learning use cases. Implement robust data quality, governance, and security … practices across the data ecosystem. Collaborate with analysts, data scientists, and business stakeholders to understand data needs and translate them into technical solutions. Work with structured and unstructured data sources, ensuring scalability, reliability, and performance. Monitor and troubleshoot data workflows, ensuring timely delivery and high availability of data assets. Experience: 3-5 years of More ❯

services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. Why consider joining our Transport community as a Data Science Managing Consultant? Join a team where you're trusted to shape your own path, manage your time, and influence real change for our clients and communities. Grow … a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. Play a key role in delivering trusted digital and data-driven solutions that transform the future of transport and mobility. Join other experts within our supportive and collaborative community through knowledge-sharing and peer-level support, coaching and mentoring What you can … expect Be part of our management team, helping shape and launch new data science propositions while driving strategic business growth. Lead business development initiatives -building trusted client relationships, owning outcomes, and delivering innovative, high-impact solutions. Help clients structure their thinking to identify key requirements, challenges, and opportunities in a rapidly evolving data landscape. Support your team More ❯

build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯

build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯

build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯

build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯

build the future of enterprise AI? Join one of Europe’s most exciting AI companies, a Series-funded, high-growth scale-up that’s changing how global organisations use data science. We’re building always-on AI agents that act as digital workers, trusted by world-class clients like Cisco, Johnson & Johnson, and Canon to deliver insights 10x faster … lookout for ambitious AI Engineers (Junior to Mid-Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands-on use of modern AI tools (LLMs, RAG, LangChain More ❯

into AI-driven solutions Define technical standards, best practices, and architectural patterns for AI projects Oversee the integration of AI solutions with existing enterprise systems and infrastructure Collaborate with data scientists, engineers, and business teams to ensure successful project delivery Conduct feasibility studies and proof-of-concepts for new AI initiatives Create technical documentation, architecture diagrams, and implementation roadmaps … on a new meaning in our Wavespace, a high-tech environment that connects clients and colleagues virtually across the globe. Your skills and strengths Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred) 5+ years of experience in solution architecture, with at least 3 years focused on AI/ML projects Proven ability to identify … ML, deep learning, and generative AI Experience designing scalable, production-ready AI systems Strong knowledge of cloud architectures (AWS, Azure, or GCP) and AI/ML services Expertise in data architecture, data pipelines, and data governance Experience with MLOps, model deployment, and monitoring strategies Experience leading technical teams and managing stakeholder relationships Preferred Qualifications Master's or More ❯

Data Engineer - Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯

Data Engineer – Azure, SQL, Databricks SDS yet to be determined - could be inside or outside Flexible day rate - 3-6 months Location: Hybrid (London-based) Type: Contract Industry: Consultancy We are looking for a skilled Data Engineer to join a fast-paced consultancy delivering data-driven solutions across a range of industries. This role is ideal for … someone who thrives in client-facing environments and enjoys working on varied, impactful projects. Key Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and … translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance tuning across cloud-based platforms. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to deliver end-to-end data solutions. Ensure data security, compliance, and governance standards are met across all projects. Required Skills Strong More ❯