176 to 200 of 1,075 Remote Data Science Jobs

Data Engineer/Data Practitioner | FinTech | £30–35k | London (Hybrid) An early-stage FinTech is looking for a Data Engineer/Data Practitioner/Software Engineer to join their growing team. The company is modernising and launching innovative integration platform technology already in use by a global customer base. Salary Package: £30,000 – £35,000 + … days in office) Sponsorship: Not available Do you have a proactive learner/self-developmental mindset? Then this is an exciting opportunity to kickstart or grow your career in data and analytics, working in a fast-paced organisation, reporting directly into a talented Chief Data Officer and within a wider collaborative environment that values curiosity, innovation, and technical … excellence. The Data Engineer/Data Practitioner/Software Engineer will: Support internal teams and external partners with data tools and services. Design, develop, and test data-first applications and analytics. Contribute predictive data science projects. Collaborate on defining features and user stories. The Data Engineer/Data Practitioner/Software Engineer More ❯

Data Engineer/Data Practitioner | FinTech | £30–35k | London (Hybrid) An early-stage FinTech is looking for a Data Engineer/Data Practitioner/Software Engineer to join their growing team. The company is modernising and launching innovative integration platform technology already in use by a global customer base. Salary Package: £30,000 – £35,000 + … days in office) Sponsorship: Not available Do you have a proactive learner/self-developmental mindset? Then this is an exciting opportunity to kickstart or grow your career in data and analytics, working in a fast-paced organisation, reporting directly into a talented Chief Data Officer and within a wider collaborative environment that values curiosity, innovation, and technical … excellence. The Data Engineer/Data Practitioner/Software Engineer will: Support internal teams and external partners with data tools and services. Design, develop, and test data-first applications and analytics. Contribute predictive data science projects. Collaborate on defining features and user stories. The Data Engineer/Data Practitioner/Software Engineer More ❯

Data Engineer/Data Practitioner FinTech £30-35k London (Hybrid) An early-stage FinTech is looking for a Data Engineer/Data Practitioner/Software Engineer to join their growing team. The company is modernising and launching innovative integration platform technology already in use by a global customer base. Salary Package … days in office) Sponsorship: Not available Do you have a proactive learner/self-developmental mindset? Then this is an exciting opportunity to kickstart or grow your career in data and analytics, working in a fast-paced organisation, reporting directly into a talented Chief Data Officer and within a wider collaborative environment that values curiosity, innovation, and technical … excellence. The Data Engineer/Data Practitioner/Software Engineer will: Support internal teams and external partners with data tools and services. Design, develop, and test data-first applications and analytics. Contribute predictive data science projects. Collaborate on defining features and user stories. The Data Engineer/Data Practitioner/Software Engineer More ❯

integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior … analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and … south of England. Skills/Qualifications - Senior Operational Analyst/Consultant: Software development using Python. Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills More ❯

integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior … analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and … south of England. Skills/Qualifications - Senior Operational Analyst/Consultant: Software development using Python. Operational Analysis (OA) approaches and techniques Strong mathematical skills Requirements gathering Software design Strong data analysis skills Highly numerate A self-starter and team player. Good communication skills, enabling you to work confidently with team members and clients. Strong organisational and time management skills More ❯

Job Title: Data Science Manager/Data Analyst Location: Leeds/Edinburgh Hybrid model: office twice a week Length of Contract: 6 Months (potential to extension) Salary: £70- £80k + 5% Bonus Join a collaborative team shaping the future of the modern workplace. As a Data Analyst , you'll transform data into insights that help … improve how colleagues work, communicate, and collaborate. You'll partner across teams, explore new data sources, and build meaningful visualisations that drive smarter decisions. What you'll do: Extract and analyse data from multiple sources Build reports and dashboards (Power BI/Tableau) Identify trends, risks, and opportunities through data Present insights clearly to both technical and … business audiences What we're looking for: Experience with Power BI or Tableau SQL/Python is good to have. Great communication and data storytelling abilities A curious mindset and passion for improving workplace experiences If you love turning data into action, we'd love to hear from you More ❯

Job Title: Data Science Manager/Data Analyst Location: Leeds/Edinburgh Hybrid model: office twice a week Length of Contract: 6 Months (potential to extension) Salary: £70- £80k + 5% Bonus Join a collaborative team shaping the future of the modern workplace. As a Data Analyst , you'll transform data into insights that help … improve how colleagues work, communicate, and collaborate. You'll partner across teams, explore new data sources, and build meaningful visualisations that drive smarter decisions. What you'll do: Extract and analyse data from multiple sources Build reports and dashboards (Power BI/Tableau) Identify trends, risks, and opportunities through data Present insights clearly to both technical and … business audiences What we're looking for: Experience with Power BI or Tableau SQL/Python is good to have. Great communication and data storytelling abilities A curious mindset and passion for improving workplace experiences If you love turning data into action, we'd love to hear from you More ❯

join our growing management consultancy, with an enviable reputation and senior level client base. They have a strong track record in UK MOD and government. You will have strong data analysis skills, Advanced Excel , including VBA They value their people and believe in building everyone’s capabilities and strengths to help them reach their full potential. The Opportunity - Operational … integral part of a small, agile, and growing business. Their team of analysts, consultants and Defence SMEs work closely with their customers to deliver high-impact services and solutions. Data science and operational analysis are a key part of the Company’s capability. They are growing this capability and are looking for a highly motivated and capable Senior … analysis models. Using agile approaches to develop models and tools, including requirements capture, design, development, testing and management. Collating, managing, structuring, analysing and visualising data. Deriving unique insights from data to inform senior-level decision making. Taking a leading role in the day-to-day delivery of projects, working closely with our clients and our team of consultants and More ❯

architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be … enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation … concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be … enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation … concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be … enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation … concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be … enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation … concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate processes that can be … enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. Understanding of LLM optimisation … concepts to non-technical teams. A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems. Preferred qualifications: Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field. Experience with Azure Foundry, AWS SageMaker, or other model-serving tools. Prior exposure to SaaS, enterprise, or data-rich More ❯

Role: Operational Data Manager Location: Wilmslow (Hybrid) We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves to work every day and we create an environment where they can shine. We have been proudly delivering valuable HR and Health and Safety services to SMEs across the UK for over 20 years. Passionate … they do and smile whilst they are doing it. As we continue our exciting international growth journey, we’re looking for a highly organised, strategic, and technically strong Operational Data Manager to lead our data operations and ensure the business continues to make smart, data-driven decisions. The Role As Operational Data Manager, you’ll own … the creation, improvement, and automation of data processes from start to finish — making sure data is clean, connected, and driving smart business decisions. You’ll work with a wide range of stakeholders and technical teams, translating requirements into scalable, efficient solutions that make our operations faster, smarter, and more data-driven. Key Responsibilities: Design, document, and manage More ❯

Role: Operational Data Manager Location: Wilmslow (Hybrid) We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves to work every day and we create an environment where they can shine. We have been proudly delivering valuable HR and Health and Safety services to SMEs across the UK for over 20 years. Passionate … they do and smile whilst they are doing it. As we continue our exciting international growth journey, we’re looking for a highly organised, strategic, and technically strong Operational Data Manager to lead our data operations and ensure the business continues to make smart, data-driven decisions. The Role As Operational Data Manager, you’ll own … the creation, improvement, and automation of data processes from start to finish — making sure data is clean, connected, and driving smart business decisions. You’ll work with a wide range of stakeholders and technical teams, translating requirements into scalable, efficient solutions that make our operations faster, smarter, and more data-driven. Key Responsibilities: Design, document, and manage More ❯

Were looking for a Data Engineer who loves building and managing data solutions. This is a fully remote, career opportunity with a forward looking marketing company with a national footprint. Youll be working in the Azure cloud, creating reliable pipelines, making sure data is clean and accessible, and helping the business make smarter decisions. If you enjoy … solving problems, working with all kinds of data, and collaborating with both technical and non-technical teammates, this role is for you. What Youll Do Build and manage data pipelines in Azure (Data Factory, Databricks, Synapse, etc.). Pull in data from different sourcesAPIs, databases, cloud apps, even streaming data. Organize, clean, and transform data so its ready for reporting, dashboards, or advanced analytics. Keep everything secure and aligned with data governance and compliance rules. Work with analysts, data scientists, and business teams to make sure they have the data they need. Troubleshoot issues and keep systems running smoothly. Automate and improve processes wherever possible. Stay up to date on new More ❯

emerging technologies to articulate the differentiation of Constructor to prospects will be critical. Our next Solutions Architect is well-versed in enterprise eCommerce and has experience with Cloud technologies, data science and analytics/testing principles, SaaS, solution design, software development methodology, security requirements, SaaS architectures, and enterprise integrations. You are comfortable presenting to prospects and partners to … learning and a self-starter mindset especially when faced with ambiguity. Technical Expertise This role requires a strong technical foundation. Ideal candidates should have prior experience working with APIs, data structures, testing and analytics and software integrations. While hands-on development experience is not required, prior coding experience has been beneficial in the role. Key technical expectations include: Working … development principles and processes Expertise in APIs and integration with them Experience working in retail eCommerce and with various solutions that comprise retailer technology stacks Ability to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and More ❯

Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and … ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages More ❯

Computer Science Graduate (AI & Digital Innovation) We're scaling up our digital capability team to drive TMS Maritime's next generation of smart marine, civil and infrastructure solutions, and we're looking for an early-career technologist to pioneer AI, data and automation in a high-impact environment. Enjoy a competitive graduate salary of up to … opportunity for digital growth. At TMS you will be part of a team delivering future-ready infrastructure, embracing tech within traditionally physical engineering environments. Whether it's modelling, optimisation, data analytics, predictive systems or AI tooling, your work will make a tangible difference to projects that protect communities, coastlines and waterways. The Role As our Computer Science Graduate … AI & Digital Innovation), you'll: Support the design, development and deployment of AI, machine-learning, data analytics and digital optimisation tools that enhance project planning, asset monitoring and marine/civil operations Collaborate cross-functionally with engineering, site operations, diving, survey and project teams to understand domain problems and build tech solutions Process, cleanse and analyse field data More ❯

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance … to build models, generate insights, and work directly with real-world product and customer data across multiple data types - text, images, and time-series (tabular) data. The Role You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting … and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of commercial Data Science experience Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL Sound understanding 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 ❯

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 ❯