551 to 575 of 1,548 Data Science Jobs in the UK

UK customer base. Enhance Digital Experiences: Explore AI-powered visual search, intelligent chatbots, and generative AI to make our multi-brand platform the most intuitive in the industry. Turn Data into Insight: Help analyse complex sales, customer, and market data to uncover trends and provide actionable insights that support strategic decision-making across the business. Unlock Creative Efficiency … high-quality visual assets and marketing copy, helping us showcase thousands of products more effectively. Who You Are: An individual with a qualification in a relevant field like Computer Science, Data Science, or Business & Technology. Experience of using AI tools to enhance traditional data analysis A natural self-starter, endlessly curious about the latest tech trends … and their practical applications. An analytical problem-solver who can evaluate tools objectively and build a compelling, data-supported business case. A confident communicator, able to present your strategic recommendations clearly to senior leaders. Why Join this organisation? Work at Scale: This is a chance to influence the operations of a major industry player and see your ideas implemented More ❯

Product Manager - SaaS - UK/Global Markets - Solihull based (hybrid 3 days ) £65K-£70K + bens We are looking for a strategic, data-driven, and customer-focused Product Manager to drive innovation across UK and global markets. As a cross-functional leader, you will collaborate closely with Engineering, Product Marketing, Sales, Customer Success, and customers to define and deliver … high-impact features that drive customer retention, business growth, and platform stability. Key areas of responsibility: Strategic Roadmap Ownership & Execution Planning & Agile Execution Customer & Data-Driven Decision Making Cross-Functional Leadership & Collaboration The successful candidate will bring the following skills and value to the team in Solihull: 5 years of experience in product management, with a track record of … changing needs. Experience with analytics and business intelligence (BI) tools (e.g., Tableau, Power BI, Sugar Discover) is a strong plus. Strong technical acumen, including familiarity with APIs, integrations, and data models. Exceptional cross-functional collaboration skills, with the ability to influence without authority. Strong communication and stakeholder management skills, capable of engaging both technical and non-technical audiences. Preferred More ❯

Product Manager - SaaS - UK/Global Markets - Solihull based (hybrid 3 days ) £65K-£70K + bens We are looking for a strategic, data-driven, and customer-focused Product Manager to drive innovation across UK and global markets. As a cross-functional leader, you will collaborate closely with Engineering, Product Marketing, Sales, Customer Success, and customers to define and deliver … high-impact features that drive customer retention, business growth, and platform stability. Key areas of responsibility: Strategic Roadmap Ownership & Execution Planning & Agile Execution Customer & Data-Driven Decision Making Cross-Functional Leadership & Collaboration The successful candidate will bring the following skills and value to the team in Solihull: 5 years of experience in product management, with a track record of … changing needs. Experience with analytics and business intelligence (BI) tools (e.g., Tableau, Power BI, Sugar Discover) is a strong plus. Strong technical acumen, including familiarity with APIs, integrations, and data models. Exceptional cross-functional collaboration skills, with the ability to influence without authority. Strong communication and stakeholder management skills, capable of engaging both technical and non-technical audiences. Preferred More ❯

between rapid AI development and the stringent security and compliance requirements of the financial industry. You will design and implement robust, scalable, and secure MLOps platforms that enable our data scientists to innovate safely and at speed, ensuring the integrity, confidentiality, and availability of our models and data. Key Responsibilities Secure MLOps Platform Engineering: Design, implement, and manage secure … automated CI/CD pipelines specifically for machine learning models (MLOps), integrating security checks (SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls … into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment, monitoring). Implement secrets management, network security (firewalls, VPCs), and identity and access management (IAM) for data and model assets. Compliance & Governance: Ensure the MLOps platform adheres to stringent financial industry regulations (e.g., GDPR, SOX, PCI-DSS, SWIFT CSCF) and internal policies (Model Risk More ❯

with AI Research Engineers to enhance our generative approaches to molecule design. Collaborate within interdisciplinary drug discovery teams to advance pharmaceutical programmes Contribute to the design of AI/data science methods to expedite the Design-Make-Test-Analyze discovery cycle Lead the development of production-grade toolkits and libraries at the intersection of cheminformatics, computational chemistry, structural … an essential member of the Recursion Digital Chemistry team. The Digital Chemistry Team is an empowered, execution-minded group of drug discovery professionals responsible for translating Recursion's innovative science to patients through hit identification and lead optimization activities. Our desire to make a difference and contribute to our mission of decoding biology to radically improve lives drives everything … we do. In your role, you will collaborate cross-functionally within the Chemistry, Biology and Data Science teams to ensure successful planning and execution of discovery operations. The Experience You'll Need: Degree in chemistry, cheminformatics, structural bioinformatics a related field or a degree in computer science with the chemistry knowledge stemming from extensive professional experience Sufficient More ❯

Overview A global lifestyle brand is hiring a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM … and optimise recommendation engines using neural networks and deep learning Collaborate with CRM and regional marketing teams to align with campaign goals and segmentation strategies Partner with engineering and data teams to ensure scalable solutions Monitor and improve model performance using data insights and feedback Qualifications Proven experience in machine learning, particularly in recommendation systems and deep learning More ❯

significant value encompassing content creation, predictive analytics and process automation; select and integrate optimal AI technologies, conduct training workshops for employees at all levels and partner with software and data engineering teams to ensure the infrastructure and data pipelines are in place to support the needs of Generative AI applications. This is an impactful role with a mix … week; there's a friendly and collaborative environment with casual dress code and a range of facilities. About you: You are degree educated in a relevant discipline i.e. Computer Science, Data Science or closely related, likely to have MSc in Artificial Intelligence or Machine Learning You're tech savvy with experience of integrating emerging technologies, with your More ❯

significant value encompassing content creation, predictive analytics and process automation; select and integrate optimal AI technologies, conduct training workshops for employees at all levels and partner with software and data engineering teams to ensure the infrastructure and data pipelines are in place to support the needs of Generative AI applications. This is an impactful role with a mix … week; there's a friendly and collaborative environment with casual dress code and a range of facilities. *About you:* * You are degree educated in a relevant discipline, i.e., Computer Science, Data Science or closely related, likely to have MSc in Artificial Intelligence or Machine Learning. * You're tech savvy with experience of integrating emerging technologies, with your More ❯

Job overview 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 the Thames Valley and Surrey (TVS) Secure Data Environment (SDE) Programme hosted … by Oxford University Hospitals NHS Foundation Trust (OUH). They will design and implement solutions to support data acquisition, integration, and analysis. The tools and services that they deliver will have a significant impact. Working with healthcare professionals and leading researchers, they will have the satisfaction of seeing their software in use: supporting cutting edge research and improving patient … care. Main duties of the job The successful candidate will provide expert leadership and technical knowledge on the delivery of software and data services across a range of digital areas, including systems, applications, data analysis, information reporting, information governance and information interpretation. They will investigate highly complex data engineering issues, be responsible for strategic planning and delivery More ❯

we can reach new heights. Together, we are CAVU. What's the role? As Head of Analytics and Insights, you'll play a pivotal role within CAVU's centralised Data function - sitting on the senior leadership team and guiding three specialist analytics areas: Marketing Analytics, Digital Analytics, and Commercial Analytics. You'll lead the development of a unified analytics … and insights strategy, using data to drive decision-making, optimise performance, and unlock new growth opportunities across the business. CAVU has been on an exciting digital and data transformation journey, with the acquisition of new brands and the creation of best-in-class products. Data has been fundamental to this - and now, we're looking for a … global scale. Key accountabilities include: Developing and executing a unified analytics and insights strategy that aligns with CAVU's marketing, digital, and commercial goals. Providing thought leadership in using data to inform strategic initiatives, drive innovation, and optimise ROI. Overseeing marketing analytics, including campaign performance, customer segmentation, and media effectiveness. Leading digital analytics to measure and optimise performance across More ❯

open-source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured datasets effectively. Prioritize AI implementation based on comprehensive business requirements and user feedback, ensuring alignment with strategic goals. Communicate complex technical … ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL/NoSQL databases and API development/integration. Proven ability to analyze model performance and … optimize for accuracy, efficiency, and scalability. Exposure to prominent AI frameworks like Hugging Face, LangChain. Preferred/Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Masters More ❯

days WFH Contract Type: Permanent TECHNE are representing exclusively a pioneering Battery Intelligence technology company is redefining how batteries are understood, optimised, and deployed. By combining electrochemistry, software, and data science , they deliver intelligent battery solutions across the full value chain - from automotive and energy storage to heavy-duty applications. They are now seeking a Cloud Application Engineer … to join their growing technical delivery team. This is a 90% technical, 10% customer-facing role focused on building and customising data pipelines , integrating battery analytics into customer frameworks, and collaborating closely with the product and cloud development teams. Role Overview You will act as the primary technical contact on customer-facing projects, translating requirements and providing technical support … specialists and the core cloud development team. The role involves building automated customer pipelines for battery analytics , customising the existing codebase for customer-specific orchestration frameworks, and turning raw data into actionable, business-relevant insights. You’ll also contribute to the ongoing development of the Battery Intelligence Cloud Platform , helping to accelerate global electrification by improving the performance, safety More ❯

days WFH Contract Type: Permanent TECHNE are representing exclusively a pioneering Battery Intelligence technology company is redefining how batteries are understood, optimised, and deployed. By combining electrochemistry, software, and data science , they deliver intelligent battery solutions across the full value chain - from automotive and energy storage to heavy-duty applications. They are now seeking a Cloud Application Engineer … to join their growing technical delivery team. This is a 90% technical, 10% customer-facing role focused on building and customising data pipelines , integrating battery analytics into customer frameworks, and collaborating closely with the product and cloud development teams. Role Overview You will act as the primary technical contact on customer-facing projects, translating requirements and providing technical support … specialists and the core cloud development team. The role involves building automated customer pipelines for battery analytics , customising the existing codebase for customer-specific orchestration frameworks, and turning raw data into actionable, business-relevant insights. You’ll also contribute to the ongoing development of the Battery Intelligence Cloud Platform , helping to accelerate global electrification by improving the performance, safety More ❯

Integration: Collaborate with development teams to bring successful prototypes into production. Consulting Enablement: Create AI tools that support and streamline the company’s consulting practice. Risk Intelligence Productisation: Conduct data science research to turn insights into scalable, standardised offerings. Core Data Science: Support ongoing product and service innovation through data-driven research. About You We … application. You should thrive in a collaborative, fast-paced environment and be comfortable owning projects end-to-end. Essential skills and experience: PhD or MEng in Artificial Intelligence, Computer Science, Machine Learning or related field Proven background in AI and/or GPT/LLM technologies. Strong ability to turn complex problems into actionable, buildable AI prototypes. Desirable: Experience More ❯

Principal Product Manager to lead the strategy and execution of our patent technology classification and taxonomy portfolio. This is a high-profile leadership role that will define how patent data is classified, understood, and leveraged worldwide. You'll work at the intersection of AI/ML/LLMs, knowledge graphs, and semantic search, partnering closely with Engineering, Data Science, and Go-to-Market teams. Your mission: deliver accurate, explainable, and scalable AI-driven solutions that power the next generation of IP analytics and decision-making. Key Responsibilities: Define the Vision: Set the multi-year strategy and annual roadmaps for classification and taxonomy services, ensuring alignment with global IP standards and industry best practices. Lead AI Innovation … Drive the development of cutting-edge AI/ML/LLM models, knowledge graphs, and multilingual pipelines to transform how patent data is classified and enriched. Deliver Product Rigor: Lead discovery, problem framing, and prioritization; translate complex workflows into productized capabilities; run structured experimentation and A/B testing; define and monitor OKRs with dashboards and diagnostics. Advance MLOps More ❯

skilled software developer to help the engineering team refactor the ‘research-level’ code into production-ready code. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI). You will work closely with the Data Science … support seamless integration with their pipelines and clearly document all your work. Essential requirements: - Minimum 3 years professional software development experience - Expert proficiency in Python in software development and data science/processing - Strong working knowledge of R - Proven experience in refactoring "research-level" code into production-ready software - Proven experience of collaborating effectively in cross-functional team More ❯

skilled software developer to help the engineering team refactor the ‘research-level’ code into production-ready code. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI). You will work closely with the Data Science … support seamless integration with their pipelines and clearly document all your work. Essential requirements: - Minimum 3 years professional software development experience - Expert proficiency in Python in software development and data science/processing - Strong working knowledge of R - Proven experience in refactoring "research-level" code into production-ready software - Proven experience of collaborating effectively in cross-functional team More ❯

skilled software developer to help the engineering team refactor the ‘research-level’ code into production-ready code. You will be responsible for expanding and optimizing our cloud infrastructure and data pipeline architecture, as well as optimising data flow and collection throughout our custom-built Clinical Management Interface (CMI). You will work closely with the Data Science … support seamless integration with their pipelines and clearly document all your work. Essential requirements: - Minimum 3 years professional software development experience - Expert proficiency in Python in software development and data science/processing - Strong working knowledge of R - Proven experience in refactoring "research-level" code into production-ready software - Proven experience of collaborating effectively in cross-functional team More ❯

sufficiency. We do this by providing client-side incubation support with ready-made out-of-the box capability supported by smart, execution-focussed practitioners. The Role Are you a data enthusiast with a passion for transforming raw information into meaningful insights? We’re looking for a talented Fabric/Data Consultant with expertise in Azure and Power BI … to join our dynamic team. This role is perfect for someone who enjoys working with cutting-edge technology, developing robust data architectures, and driving strategic business intelligence initiatives. If you're excited about helping organizations unlock the full potential of their data, we’d love to hear from you. Essential Expertise: Proven experience in data engineering with … exposure to Azure Synapse or Azure Data Factory or Databricks. Familiarity with Microsoft Fabric or a strong willingness to learn and adapt to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or More ❯

Help Shape the Future of Football Through Data The Football Association (The FA) is investing in advanced digital and data capabilities to transform how we engage with the game, from grassroots and development of home-grown coaches to fan experience and business operations. As part of this transformation, we're expanding our team with ambitious, forward-thinking professionals. … We're excited to offer a newly created opportunity for a Data Scientist to play a key role in delivering impactful, data-driven solutions across the organisation. As a Data Scientist at The FA, you'll be central to our data transformation, working across areas such as grassroots initiatives, coaching pathways, fan engagement, and operations. From … day one, you'll lead the development and deployment of data science solutions. You will collaborate with cross-functional teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and More ❯

Payments Optimisation Reporting to: Chief Product & Technology Officer Direct Reports: Currently iC Role Location: London HQ - 3 days in office, 2 days home OVERVIEW: Are you passionate about using data, technology, and payments expertise to drive tangible customer value? We're looking for an experienced and commercially minded Senior Product Manager, Payments Optimisation to lead the evolution of our … optimisation and orchestration products, scaling them to the next level. You'll operate at the intersection of Product, Data Science, and Commercial teams, translating analytical insights into measurable business outcomes for our customers and for APEXX. This role is ideal for someone who enjoys connecting complex technical capabilities with commercial value, inspiring cross-functional alignment, and ensuring optimisation … evolution of optimisation from a capability into a scalable product line, influencing its positioning, packaging, and monetisation. Provide thought leadership across the organisation on the role of AI and data-driven optimisation in payments. Cross-Functional Collaboration & Delivery Partner with Engineering and Data Science to develop AI/ML-powered optimisation features that improve authorisation, reduce cost More ❯

About WillHire WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data & Analytics vertical and are looking for curious, driven, and analytical minds to join us as part of our Artificial Intelligence Internship Cohort. Role Overview As a Artificial Intelligence Intern at WillHire, you will collaborate with … our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models … for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings More ❯

Job Title: Data Scientist (Contract, Hybrid – London) Location: London (Hybrid: 2–3 days/week in office) Contract Type 6–12 months (Contract, possible extension) About The Role We are seeking a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex … datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. … Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the analytics lifecycle. Keep up-to-date with the latest developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a More ❯

Role: Data Scientist Associate Manager Location: London Salary: Competitive salary and package (Depending on level of experience) Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of … and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO We are a dynamic team of specialists in Data Science, Data Engineering, and MLOps, dedicated to delivering cutting-edge AI solutions within secure government and defence environments. Join us to be part of an inclusive and More ❯

Work experience in data science, machine learning, and business analytics. Skills and Experience Practical experience in coding languages (e.g., Python, R, Scala ) with a preference for Python. Strong proficiency in database technologies such as SQL, ETL, No-SQL, DW. Accenture is a global professional services company offering expertise in digital, cloud, and security solutions across various industries worldwide. More ❯