Econometrics Manager

Join us, be part of more. We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it.

About your role: This position sits within Centrica’s Data Science team, a group dedicated to measuring and improving the effectiveness of our business strategies. We’re looking for a highly analytical and detail‑driven Econometrics Manager with strong hands‑on experience in Marketing Mix Modelling (MMM) and modern data science techniques to support our growing analytics function. In this role, you’ll build robust, fit‑for‑purpose models and translate complex analysis into clear, actionable recommendations for senior stakeholders. You’ll work across a wide range of commercial areas and collaborate closely with colleagues in finance, marketing, commercial teams, and data science. The work is varied, high‑visibility, and central to shaping strategic decision‑making across the business. Location: Windsor & London UK, Hybrid Working (circa 2 days per week in the office).

Responsibilities of the role:

• Partner with the econometrics team to build, refine, and maintain a suite of econometric and MMM models for British Gas and Hive, translating model outputs into clear, actionable insights that drive commercial value.
• Analyse large and complex datasets to quantify the impact of marketing investment on key outcomes such as customer acquisition, retention, and engagement.
• Apply a range of data science techniques — including regression, machine learning, and time‑series modelling — to generate insights and support predictive and prescriptive analytics.
• Manage, clean, and integrate datasets from multiple internal and external sources, ensuring high standards of data quality and integrity.
• Communicate findings through concise, compelling presentations and documentation, crafting a clear narrative that aligns with the evidence.
• Work closely with stakeholders across the business to scale and enhance media mix models using advanced statistical and machine‑learning approaches.

Here’s what we’re looking for:

• Proven experience in Big Data analysis, econometrics, statistics, and Marketing Mix Modelling within a professional environment.
• Strong understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance.
• Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit‑learn).
• High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word.
• Exceptional attention to detail and a commitment to analytical rigour.
• Ability to manage multiple projects simultaneously and prioritise effectively.
• Confident, professional communication skills, with the ability to engage stakeholders at all levels.

Why should you apply? We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority. Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.