876 to 900 of 2,281 Data Science Jobs in the UK

About Neutreeno We built Neutreeno to transform business at speed and scale by revolutionising decarbonisation. Our innovative software, backed by cutting-edge science from the University of Cambridge, transforms how companies understand and reduce their emissions. By leveraging decades of research in resource and emissions flow data mapping, we identify the most impactful areas for emissions reduction, enabling … companies to make strategic, data-driven decisions. Working alongside leading sustainability scientists from the IPCC and IEA who shape international climate policy, we're creating a new paradigm in decarbonisation technology. Our approach has already been adopted by the world's largest companies. With our recent $5M seed round led by US investors, and coverage in ESGPost, YahooFinance, BusinessWeekly … the development of intelligent systems that power our emissions and decarbonisation capabilities. Working at the cutting edge of machine learning and sustainability, you'll build platforms that transform complex data into actionable insights for thousands of companies globally. Your innovations will directly power breakthrough solutions that identify critical decarbonisation opportunities across entire industries and supply chains. You'll push More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯

Data Scientist - Brand Uplift/Marketing London – Hybrid Up to £80,000 About the Role We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to … production-level coding practices, including unit testing and documentation. Communicate complex technical concepts to non-technical stakeholders. What We’re Looking For 3+ years’ experience working with Python for data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets … libraries and ability to apply the latest research into real-world applications. Skilled in explaining technical findings to business audiences in clear, concise English. Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred. Please note, this role cannot offer sponsorship. More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

The Role As an AI Engineer, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by … cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. -Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

optimise their owned channels. This role is about building the right foundations: defining KPI frameworks, implementing analytics platforms, and creating digital analytics enablement plans that make product teams more data-driven. As a trusted advisor,you'llguide clients in embedding data into their product development and decision-making, ensuring that their digital platforms deliver measurable business value. Alongside … this,you'llhelp shape experimentation andpersonalisationstrategies that support direct channel growth and customer engagement. Role responsibilities Contribute to RFPs and new business pitches on analytics and product data strategy. Build clear, differentiating proposals for clients. Demonstrate solution value through business cases, proof of concepts, and compelling analytics use cases. Strategy & Advisory Define KPI frameworks across business, customer, and operational … measures. Develop digital analytics roadmaps to enable data-driven product backlogs and maximise platform value. Recommend best-fit product analytics solutions (Adobe Analytics, GA4, Contentsquare, Fullstory, Quantum Metric, Qualtrics, DataDog, Similarweb, Power BI, Looker, Tableau). Guide clients in platform setup and enablement, collaborating closely with internal teams. Identify broader data opportunities, including advanced analytics, data science More ❯

Minimum qualifications: Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 7 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience in Generative AI as a user or a developer. Experience delivering technical presentations … rewriting and expansion. Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone. Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will … customer success, and define the new cloud era-the market is yours. Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI-drive, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and bench More ❯

Contract | Data Engineer | Fintech | Remote (UK-based) We’re looking for an experienced Data Engineer to join a rapidly growing fintech on a contract basis . This is a hands-on role building and maintaining robust data pipelines that power credit decisioning, risk modelling, and portfolio analytics . You’ll work closely with data science, product, and credit teams to deliver reliable, production-ready datasets that help innovate lending solutions. What You’ll Do Build and maintain data pipelines for credit and financial analytics. Ingest and process data from transaction systems, credit bureaus, and open banking APIs . Ensure data quality, accuracy, and reliability with automated checks and validation routines. Collaborate … with cross-functional teams to deliver fit-for-purpose data solutions . Monitor and optimise data infrastructure for performance and scalability. What You’ll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with More ❯

a brand ambassador. What We're Looking For 8-12 years of experience in business development, commercial strategy, partnerships, or enterprise sales. Background in consumer insights, product research, or data analytics - ideally with experience at firms such as Nielsen, Ipsos, GfK, or similar. Proven success in outbound sales execution and CRM-driven pipeline management (HubSpot, Salesforce, etc.). Strong … track record of engaging enterprise clients and closing high-value deals. Interest or experience in AI, machine learning, or data science applied to product innovation or consumer behavior. International mindset with experience working across cultures and time zones. Executive presence and excellent written and verbal communication skills. An MBA or advanced degree is welcome, but not required, if … English introducing yourself. Please explain: Why is this role the right next step for you? Your experience in building businesses and selling ideas. One way you think AI or data science will change consumer research. We review every application carefully, and candidates selected for the next stage will be contacted via email to schedule an online interview. Please More ❯

Staff Data Scientist Salary: £105K - £115K Location: London - Hybrid working Data Idols are working with a distributor in the tech industry who are looking for a Staff Data Scientist to join the team. They are a data driven business who are looking for a technical leader. This role will report to the Head of Data Science and support the team of Data Scientists. The Opportunity They are seeking a Staff Data Scientist to join the team to drive data, lead on strategic initiatives and develop cutting-edge models. They are looking for this person to provide technical leadership and lead projects end-to-end. Whilst acting as a mentor this … Python SQL GCP exposure Leading projects end to end If you are looking for a new challenge, then please submit your CV for initial screening and more details. Staff Data Scientist More ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and More ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and More ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and More ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and More ❯

a fast-growing, venture-backed SaaS company Lead the design and delivery of AI features that create real value for enterprise customers Work with world-class teams in engineering, data science, and product innovation About the Company A high-growth, venture-backed SaaS business is transforming how technical industries operate by applying AI to improve productivity, safety, and … efficiency. Its award-winning platform combines real-time data, predictive insights, and automation to help managers make better decisions while empowering teams in the field. The business has grown rapidly across multiple continents, partnering with leading organisations in utilities, construction, and industrial sectors. With strong Series A backing from top-tier investors and plans for further expansion, the company … role for an experienced technical product manager who will shape and execute the company’s AI product direction. Working closely with senior leadership, you’ll define how AI and data can unlock new commercial opportunities and deliver tangible customer outcomes. What you’ll be doing Deliver and own the AI product roadmap, identifying opportunities to drive measurable business and More ❯

Job summary We are seeking experienced individuals with talent,expertise, and ambition in software and data engineering. We can offer the opportunity to work on innovative solutions that will transform scientific research and healthcare delivery in the NHS. The successful candidates will work as part of theThames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted by … edgeresearchandimproving patient care. Main duties of the job The successful candidate willprovide expertleadershipand technical knowledgeon the deliveryof software and dataservices across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation, investigate a range of highly complex data engineering issues, be responsible for strategic planningand deliveryacross a range of specialised areas … for further information. For an informal discussion about this role, please contact Kinga Vrnai, Special Projects Lead (kinga.varnai@ouh.nhs.uk). Person Specification Qualifications Essential Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (eg computer science, software engineering, mathematics) to Master's degree or equivalent level Extensive experience within a More ❯

academic policies. Oversee timetabling, resource allocation, and coordination of teaching delivery across campuses. Teaching and Learning Deliver high-quality teaching across core Computing modules (e.g., Software Engineering, AI, Cybersecurity, Data Science, Cloud Computing, or related fields). Use innovative and inclusive pedagogical approaches, such as flipped learning, problem-based learning, and project-led teaching. Supervise dissertations, projects, and … to enhance the visibility and reputation of the Computing discipline. Support marketing, outreach, and recruitment activities, including open days and external events. Person Specification Essential: Masters degree in Computer Science or a closely related field. Relevant teaching qualification (e.g. PGCert, PGCHE) or Fellowship of Advance HE (or willingness to obtain). Evidence of successful teaching and assessment in Higher … programme leadership or coordination. Knowledge and experience of quality assurance procedures and academic governance. Demonstrable expertise in at least one key area of Computing (e.g. AI, Cybersecurity, Software Engineering, Data Science, Networking, Cloud Computing). Engagement in research, scholarship, or professional practice relevant to Computing. Excellent communication and presentation skills, both written and verbal. Strong leadership, organisational, and More ❯

collaborate on multi-solution and multi-platform solutions and scoping Lead customer-facing workshops, demos, and hands-on labs Provide deep domain expertise in client business, technology stack, and data infrastructure, complemented by a wide-ranging knowledge base in digital marketing Provide thought leadership in the marketing technology space and help Bounteous differentiate as the go-to partner in … this space Develop deep knowledge of each client's business and available data to ensure platform solutioning is in alignment with client's marketing objectives Translate business needs into detailed technical requirements for platform configuration, initial architecture(s), data schemas and system integrations to deliver against business needs Oversee and steer client programs and development work to meet … ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform architect More ❯

collaborate on multi-solution and multi-platform solutions and scoping Lead customer-facing workshops, demos, and hands-on labs Provide deep domain expertise in client business, technology stack, and data infrastructure, complemented by a wide-ranging knowledge base in digital marketing Provide thought leadership in the marketing technology space and help Bounteous differentiate as the go-to partner in … this space Develop deep knowledge of each client's business and available data to ensure platform solutioning is in alignment with client's marketing objectives Translate business needs into detailed technical requirements for platform configuration, initial architecture(s), data schemas and system integrations to deliver against business needs Oversee and steer client programs and development work to meet … ability to inspire, engage, partner with, and influence senior leadership Excellent verbal and written communication skills Digitally-savvy and well-informed on innovations, trends, and technologies Degree in Computer Science, Data Science, Analytics, or related field or equivalent work experience preferred If you are ready to take on a challenging role as a multi-solution platform architect More ❯