• This role supports the development and maintenance of data-driven and agentic AI solutions, partnering closely with the Managing Data Scientist and cross-functional teams throughout the full development lifecycle. • Responsibilities include contributing to data collection, exploratory analysis, model and agent development, deployment, and ongoing monitoring. • The position focuses on building foundational experience in designing and implementing AI agents and cloud-based AI solutions, while supporting the delivery of scalable systems in production environments. • The individual will collaborate across teams to apply established best practices, leverage reusable components, and help ensure consistent, high-quality execution of AI and analytics solutions.

• Design and own marketing measurement methodologies, including incrementality testing, marketing mix modeling, multi-touch attribution, and experiment design • Build statistical and machine learning models to evaluate channel effectiveness, forecast outcomes, and inform budget allocation • Translate ambiguous business questions into rigorous analytical plans and deliver findings to both technical and non-technical stakeholders

• Lead the development and evolution of the Feature Store capabilities: data lineage, feature views, feature recommendation, and new query engines; • Design and implement Apache Iceberg tables with a focus on read performance, versioning, and schema evolution; • Architect and optimize the serving layer with Redis for real-time features meeting strict latency SLOs; • Integrate and optimize Amazon EMR as a query and large-scale processing engine; • Define and implement feature selection and transformation pipelines with end-to-end traceability; • Establish quality, versioning, and governance standards for features across the platform; • Serve as the technical reference for data and data science teams that consume the Feature Store.

Role Description This is an exciting opportunity to join the Environment Agency’s Natural Capital Ecosystem Assessment (NCEA) Programme as the lead for Surveillance Networks Workstream. The Defra-led NCEA programme is gathering broad scale and comprehensive data on our ecosystems including freshwater, estuarine and coastal water environments to reveal their benefits for people and the economy - their natural capital. This evidence and insight will ensure that policy and decision makers consider the true value of nature. You will provide leadership and assurance of these NCEA monitoring networks ensuring high-quality technical outputs are delivered. You will lead a team of water monitoring environmental specialists and subject matter experts. The team designs and delivers a suite of surveillance networks covering freshwater surface and ground waters and estuaries and coasts. The data from these networks is used to develop statistically robust and nationally representative evidence on ecosystem condition. You will coordinate and lead the work of the team and support delivery to ensure the workstream meets its objectives and the overall aims of the programme. Your responsibilities will include: - Providing technical leadership and setting the overall strategy and plan for the workstream and the work packages within it; - Co-ordinating delivery of the workstream plan and supporting the work package leads and workstream project manager to resolve technical issues, manage risks/issues and ensure work is delivered to the required technical/scientific assurance standards; - Working with the other workstream leads to address cross-cutting technical issues; - Engaging with stakeholders within and beyond the programme on working groups and thematic boards, in the context of developing and delivering data management, analysis and digital solutions; - Line management duties for some members of the workstream. Company Description We are fully committed to being an inclusive employer and ensuring equal opportunities for everyone. We welcome flexible working patterns for all our vacancies, including job share.