Senior Data Scientist
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 rangsiparn.wongworawit@eonnext.com
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