Centrica

Centrica

International energy and services firm focused on sustainability and customer solutions.

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Econometrics Manager

Build and maintain econometric and MMM models to drive commercial insights for British Gas and Hive.

Windsor, Ontario, Canada | London, England, United Kingdom | Windsor, England, United Kingdom
Full Time
Expert & Leadership (13+ years)

Job Highlights

Environment
Hybrid

About the Role

You will collaborate with the econometrics team to develop and maintain econometric and MMM models for British Gas and Hive, translating outputs into commercial value. Large, complex datasets will be analysed to quantify the impact of marketing investment on customer acquisition, retention and engagement. Advanced statistical and machine‑learning approaches will be used to scale media‑mix models and support predictive and prescriptive analytics. • Build, refine and maintain econometric and Marketing Mix Modelling (MMM) models for British Gas and Hive. • Analyse large datasets to quantify marketing impact on acquisition, retention and engagement. • Apply regression, machine learning and time‑series techniques for predictive and prescriptive analytics. • Manage, clean and integrate data from multiple internal and external sources, ensuring high quality. • Communicate insights through concise presentations and clear documentation. • Collaborate with finance, marketing, commercial and data‑science stakeholders to scale media‑mix models.

Key Responsibilities

  • mmm modeling
  • data analysis
  • machine learning
  • data integration
  • insight presentation
  • stakeholder collaboration

What You Bring

The role sits within Centrica’s Data Science team, which measures and improves business strategy effectiveness. We are seeking an Econometrics Manager with hands‑on Marketing Mix Modelling experience and modern data‑science skills. You will build robust, fit‑for‑purpose models and turn complex analysis into clear, actionable recommendations for senior stakeholders across finance, marketing and commercial teams. The role requires proven experience in big‑data analysis, econometrics, statistics and MMM, along with a strong grasp of media, marketing, pricing and promotional levers. Solid Python skills (pandas, NumPy, scikit‑learn) and high proficiency in Excel, PowerPoint and Word are essential. You must demonstrate exceptional attention to detail, analytical rigour, project‑management ability and confident communication with stakeholders at all levels. • Proven experience in big data analysis, econometrics, statistics and MMM. • Strong understanding of media, marketing, pricing and promotional levers. • Proficient in Python (pandas, NumPy, scikit‑learn) for data manipulation, modelling and visualisation. • Advanced skills in Excel, PowerPoint and Word. • Exceptional attention to detail and analytical rigour. • Ability to manage multiple projects simultaneously and prioritize effectively. • Confident communication skills for engaging senior stakeholders.

Requirements

  • python
  • excel
  • big data
  • econometrics
  • mmm
  • project management

Benefits

Location is hybrid in Windsor and London, with about two days per week in the office. The work is high‑visibility, varied and central to shaping strategic decision‑making across the business. Centrica offers flexible total‑rewards that support financial, physical and emotional wellbeing, including the UK’s best Carers Policy, flexible working and a focus on wellbeing. Our inclusive culture celebrates differences, encourages authenticity and strives to create a community where everyone belongs. By joining us you will help drive sustainability, green products and community impact while growing your own career. • Hybrid working arrangement (≈2 days per week in office) in Windsor & London. • Flexible total‑rewards supporting financial, physical and emotional wellbeing, including the UK’s best Carers Policy. • Inclusive culture that celebrates differences and promotes belonging. • Opportunity to contribute to sustainability, green products and community impact.

Work Environment

Hybrid

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