Econometrics Manager/Data Scientist

Econometrics Manager/Data Scientist

Location: London, UK (Hybrid - approx. 1 day per week in office)

Contract: 6 months (likely extension)

Join us. Be part of more.

We're more than an energy company - we're a family of well-known brands transforming how we power the planet. As a team of over 20,000 colleagues, we're driving a greener, fairer energy future by building a system that doesn't rely on fossil fuels, while making a meaningful impact in the communities we serve.

Here, you'll find more purpose, more passion, and more potential. That's why working here is More Than A Career.

About the Role

This role sits within a central Data Science function supporting multiple consumer-facing energy and smart home brands across the group.

We're looking for a highly analytical and detail-oriented Econometrics Manager/Data Scientist with hands-on experience in Marketing Mix Modelling (MMM), strong Python capability, and the ability to independently build robust statistical models (all essential).

You will work closely with marketing teams, brand agencies, commercial teams, and senior stakeholders to gather data, build models, and deliver clear, actionable insights that influence strategic decision-making.

A key part of this role is the ability to understand brand positioning, interpret brand language, and apply a customer-first mindset to ensure modelling outputs reflect real customer behaviour and support brand strategy.

Key Responsibilities

• Design, build, and maintain robust statistical and econometric models, including MMM frameworks
• Partner with marketing, brand, and commercial teams to gather and structure data required for modelling
• Work with agencies and internal stakeholders to ensure data accuracy, completeness, and alignment
• Develop models from scratch, selecting appropriate methodologies and validating outputs
• Translate complex model outputs into clear, actionable insights and recommendations for senior managers and decision-makers
• Apply a customer-centric lens to modelling, ensuring outputs align with brand positioning and customer behaviour
• Analyse large, complex datasets to quantify the impact of marketing activity on acquisition, retention, and engagement
• Apply advanced analytical techniques, including regression, machine learning, and time-series modelling using Python
• Communicate findings through compelling storytelling, presentations, and documentation
• Collaborate cross-functionally to scale and enhance modelling approaches using advanced statistical methods

Skills & Experience (Essential)

• Proven experience building statistical models from scratch in a commercial environment
• Strong commercial experience in Marketing Mix Modelling (MMM)
• Advanced Python skills for data manipulation, modelling, and analysis (eg, pandas, NumPy, scikit-learn)
• Strong understanding of branding, brand positioning, and marketing strategy
• Ability to interpret brand language and translate it into measurable analytical frameworks
• Demonstrated customer-first mindset, with the ability to connect data insights to real customer behaviour
• Experience working with marketing teams, agencies, and commercial stakeholders
• Strong foundation in econometrics, statistics, and data science
• Excellent communication skills with the ability to influence senior stakeholders
• High attention to detail and ability to manage multiple priorities

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Please email me