7 of 7 Data Science Jobs in Reading

Data Science Apprentice, you will work in different parts of the business and learn how data can help answer questions, improve decisions and solve real problems. You will be supported by experienced data scientists, analysts, engineers and technical specialists. Role This degree apprenticeship is a great … opportunity to build your skills in using data to solve problems. You will learn about statistics, data science, analytics and artificial intelligence, and how these are used in a real workplace. As a Data Science Apprentice, you will work in different parts of the business ...

cortAIx Factory/cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. … disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert ...

opportunity is available for a DV Cleared Senior Linux System Administrator to join a specialist security team supporting a secure, large-scale big data platform for a UK critical national infrastructure programme. The platform supports a suite of cutting-edge cybersecurity and data science tools, with … infrastructure and CI/CD environments Support interoperability with Windows Server environments where required Contribute to continuous improvements across a highly secure big data platform Essential Skills Strong Linux administration experience with RHEL, Rocky Linux or similar VMware vSphere/ESXi administration Ansible or equivalent infrastructure automation tools Bash ...

highly capable technology function. This isnt simply an LLM integration role. Youll work at the intersection of Agentic AI, Software Engineering, Architecture and Data , partnering directly with business stakeholders to identify complex operational problems and build agentic solutions that deliver genuine business value. This is an excellent opportunity … materially improve existing business processes. Design, prototype and implement agentic systems, rapidly iterating solutions in collaboration with end users. Apply systems thinking and data analysis to identify root causes, friction points and opportunities for improvement. Use strong software engineering and architecture principles to take ideas beyond proof-of-concept. ...

have gained or be on track to achieve a bachelor's degree in a STEM Subject in one of the following subject areas: Computer Science (BSc) Computing (BEng) Computing and Data Science (BSc) Software Engineering (BSc or MEng) Mathematics, Applied Mathematics, Mathematics and Statistics ...

scalable, compliant and aligned to Responsible AI principles. Shape technical direction, standards and best practice for AI engineering across the Group. Work with architecture, data, technology and business teams to identify and prioritise AI opportunities. Define the right build, buy and partner approach for AI solutions and services. Provide … Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement Act as a thought leader, willing to challenge the business and drive ...

implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business … outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. \n All roles require digital fluency, including the ability ...