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Data Scientist - Workforce ModellingUK Power Networks • London, England, United Kingdom
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Data Scientist - Workforce Modelling

UK Power Networks
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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À propos

This Data Scientist - Workforce Modelling will report to the Analytics and Dev Ops Lead and will work within Human Resources based in our London, Elephant and Castle office. You will be a permanent employee., UK Power Networks is looking for a talented Data Scientist to join our team and lead the development of predictive workforce models. This is a unique opportunity to make a strategic impact by helping us forecast workforce demand for the next price control period (2028-2032). Your work will ensure we have the right resources in place to meet operational needs, regulatory obligations, and our Net Zero commitments. Accurate workforce forecasting is critical to:
Supporting the UK's energy transition and Net Zero goals. Meeting Ofgem regulatory requirements and price control targets. Maintaining operational resilience and delivering exceptional customer service. Your insights will shape long-term workforce strategy and influence the future of the UK's energy infrastructure. What You’ll Do
Develop and maintain predictive workforce models for 2028-2032. Analyse large datasets to identify trends, patterns, and actionable insights. Apply causal modelling techniques (e.g., Chain Modelling) to understand workforce drivers. Collaborate with HR, business leaders, and cross-functional teams. Present findings through clear reports, dashboards, and presentations. Essential Skills
Strong proficiency in Python for data analysis and modelling. Expertise in causal modelling techniques, such as Chain Modelling for workforce planning. Solid understanding of statistical methods and workforce modelling principles. Experience working with large datasets and data visualization tools. Excellent communication and stakeholder engagement skills. Preferred Experience
Hands‑on experience with Databricks for big data processing and analytics. Familiarity with GitHub for version control and collaborative development. Background in workforce or operations modelling within a corporate environment. Qualifications
Degree in Maths, Economics, Data Science, Statistics, Computer Science, or a related field. Proven experience in data-driven modelling and analytics. You will attract a salary dependent on experience and a bonus of 7.5%. Close Date: 25/01/2026. Benefits
25 Days Annual Leave plus bank holidays. Private Medical Cover / Simply Health. Reservist Leave – Additional 18 days full pay and 22 unpaid. Personal Pension Plan – Personal contribution rates of 4% or 5% (UK Power Networks will make a corresponding contribution of 8% or 10%). Tenancy Loan Deposit Scheme, Season Ticket Loan. Tax‑efficient benefits: Cycle to Work, Home & Tech, and Green Car Leasing Schemes. Occupational Health support. Switched On – a scheme providing discount on hundreds of retailers' products. Discounted gym membership. Employee Assistance Programme.
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  • London, England, United Kingdom

Compétences linguistiques

  • English
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