Senior Data Scientist

E.ON Next
London
2 months ago
Applications closed

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Senior Data Scientist – Customer Contact & Operational Analytics

📍 London or Nottingham | Hybrid


As a Senior Data Scientist in the Customer Contact team at E.ON Next, you’ll use data to improve customer experience, agent performance, and operational efficiency across our contact operations.


This role focuses on applying analytics and data science to call demand volume, channel demand, demand forecasting, and initiatives that optimise operations. You’ll work in a matrix organisation, partnering closely with Operations, Digital and Commercial teams to ensure data-driven decisions support real business outcomes.


We’re especially keen to hear from candidates with contact centre or operational analytics experience. If you don’t have direct domain experience, we’ll also consider Senior Data Scientists who’ve grown from an analyst or strategic insight background, with strong evidence of turning analysis into action.


What you’ll be doing

  • Partner with cross-functional teams using a consultative approach to solve operational problems through data
  • Translate customer contact and operational challenges into scalable data products and models
  • Build insights and forecasts to support call demand volume, channel demand management, and resourcing decisions
  • Create clear dashboards, reports and narratives that support confident decision-making
  • Apply a broad toolkit, from statistical modelling and regression to machine learning and AI
  • Deliver production-ready solutions using best practices in data science and engineering


What we’re looking for

  • 4+ years’ experience as a Data Scientist, including productionised models
  • Strong understanding of how contact operations link to customer experience
  • Experience working with stakeholders across multiple teams and seniority levels
  • Advanced analytical and problem-solving skills with real business impact
  • Strong Python (production-level) and SQL skills
  • Experience with ML/AI libraries (scikit-learn, TensorFlow, PyTorch)
  • Familiarity with MLOps, model deployment and cloud platforms (Databricks, AWS, Azure)


Nice to have

  • Experience in contact centres, workforce planning or operational environments
  • Experience with demand forecasting, channel optimisation, or service operations data
  • Background in strategic insight or advanced analytics
  • Energy or retail sector experience


📩 Questions? Contact


🏆 Sunday Times Best Place to Work 2025 | Inclusive Top 50 UK Employers

📌 Hybrid working | Excellent benefits | Career development & flexible working

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