801 to 825 of 2,281 Data Science Jobs in the UK

regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or … financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources More ❯

regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or … financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources 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 ❯

Senior Data Scientist Paying up to £85,000 + bonus Hybrid in London AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end … to-end on ML models, helping to revolutionise the property industry by leveraging data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/… Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku More ❯

Senior Data Scientist Paying up to £85,000 + bonus Hybrid in London AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end … to-end on ML models, helping to revolutionise the property industry by leveraging data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/… Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 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 ❯

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 ❯

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 ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills More ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills More ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills More ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills 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 ❯

Software Engineer- Python- Data Science and Machine Learning Team The RJC Group is looking for an experienced Software Engineer to join a growing Data Science & Machine Learning team within a global energy and commodities company. This is a hands-on role building the tools, pipelines, and infrastructure that power real-world ML applications across commercial and … operational areas. What You’ll Do Work with data scientists to deliver scalable ML solutions Build and maintain clean, reliable data pipelines and internal tools Collaborate with technical and non-technical stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML More ❯