Role Description Join one of the UK Government’s largest digital data transformation programmes, helping to centralise Local Authority Land Charge registers into a single Land Registry system. We’re looking for a Data Coordinator to own the relationship with an assigned group of Local Authorities. You’ll guide Local Authorities through the transformation process, lead the analysis of large datasets, and ensure successful data migration. You’ll manage tasks, track progress, and contribute to improving our processes and tools. Key Responsibilities: - Own the relationship with your assigned Local Authorities - Analyse and manage large datasets (100k+ records) - Guide Local Authorities through data transformation - Write and document transformation rules - Quality check and cleanse data - Track progress and manage stakeholder tasks - Contribute to process improvements and team support Qualifications - Exceptional stakeholder management and ability to communicate confidently across all levels internally and externally - Advanced Excel skills, including complex functions and data manipulation - Customer-facing experience, with a professional and approachable communication style - Strong analytical and problem-solving abilities, with a keen eye for data quality - Experience managing data and coordinating processes across multiple workstreams - Working knowledge of SQL or FME (desirable) - Experience with GIS tools and spatial data (highly desirable) Benefits - Competitive Salary - Generous Holiday Allowance: 25 days' holiday plus bank holidays, with the option of adding up to 5 additional unpaid leave days per year - Annual Lifestyle Allowance: £300 to spend on an activity of your choice - Pension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafter - Private Health Insurance: Provided by Vitality - Group Income Protection Scheme - Charitable Fundraising: Matched funding for your efforts - Cycle to Work and Gym Flex Schemes - Internal Coaching and Mentoring: Available throughout your time with us - Training and Career Progression: A strong focus on your development - Family-Friendly Policies

• Define and execute data science strategy aligned to business objectives and KPIs • Lead and mentor data scientists and analysts • Drive workforce transformation and modernization initiatives aligned with business strategy and operating model evolution • Establish modeling, analytics, and governance best practices • Design KPI frameworks for WF optimization, utilization, NPS, revenue and other operational metrics • Build and scale Power BI dashboards and reporting ecosystems • Deliver agentic AI solutions to automate workflows • Translate complex analytics into business insights for executives

• Own ML models end to end - frame the problem, write the design/RFC, build and train the model, ship it to a served endpoint and monitor its quality in production. • Build your model's training pipeline and package it for serving, deploying onto the shared platform Data Engineering builds and operates. • Own model quality, not the platform - you watch drift and performance and decide when to retrain. • Evaluate rigorously - experimental design, statistical validation, drift detection and retraining, champion-challenger evaluation and promotion. • Partner across the org - your model outputs feed the attributes/enrichment layer, payments risk, dashboards and client integrations, you'll collaborate with Data Engineering, backend, product and QA on contracts, deployment and rollout. • Move fast with AI-assisted development - we use it to accelerate implementation and experimentation, the highest-leverage contribution in this role comes from strong problem framing, system design, evaluation rigor and clear technical specifications.

• Design and build new measurement products by combining Nielsen datasets across TV, Streaming, Audio, and Digital • Develop statistical and machine learning models to answer questions not addressed by standard products • Write production-quality SQL, Python, and PySpark to extract, transform and model data • Build reusable data pipelines and ETL workflows for custom solutions • Use AI tools to validate models, accelerate pipeline development, and compress delivery time • Translate stakeholder requests into well-scoped analytical problems and deliver with clear documentation • Collaborate with Research, Commercial Sales, and Client Insights teams