We're hiring a Data Scientist with expertise in Marketing Mix Modelling (MMM) for our energy client. In this hybrid role, you'll drive data-driven strategies, build and update MMM models, analyse marketing spend, and deliver actionable insights. Based in Windsor with travel once a fortnight. Salary up to £75K, plus bonus and up to 10% pension.
Client Details
he client is a leading energy company that is committed to revolutionising the global energy landscape. As part of a family of brands, they focus on creating sustainable energy systems that do not rely on fossil fuels. Their mission is to power a greener and fairer future by driving innovation and positive change within communities. With a diverse team of 21,000 employees, they are working towards achieving Net Zero by 2050 while offering a supportive and inclusive work environment.
Description
The key responsibilities for this role include:
Developing and Updating MMM Models:
Work closely with the team to build and refine Marketing Mix Models (MMM) for the client's products, ensuring they align with business goals.
Data Analysis:
Analyse large datasets to measure the impact of marketing spend on key business outcomes such as sales and customer acquisition.
Stakeholder Communication:
Translate complex data findings into clear, actionable insights, creating presentations and reports to communicate findings effectively to various stakeholders.
Collaboration:
Work with cross-functional teams, including commercial, finance, marketing, and data science, to drive business decisions based on data.
Ad-Hoc Projects:
Assist in additional data-related projects as needed by the business, contributing to ongoing data initiatives and strategies.
Deadline Management:
Ensure projects are completed on time and meet business requirements.
Profile The successful candidate will have: Experience in Econometrics and MMM:
At least 3 years of experience in Marketing Mix Modelling (MMM) and econometrics, with a strong ability to analyse the effectiveness of marketing spend.
Strong Analytical Skills:
Expertise in handling large datasets, applying statistical methods, and using programming languages such as R, Python, or SQL to derive insights from data.
Effective Communication:
The ability to present complex data analysis in a clear, concise manner to stakeholders, tailoring communication to different audiences.
Attention to Detail:
High attention to detail with a keen ability to spot patterns and anomalies in data to drive informed decision-making.
Team Player:
Comfortable working in an open, collaborative environment with a mix of introverts and extroverts, and able to contribute to both independent and team-based projects.
Adaptability:
A proactive, inquisitive mindset, eager to tackle new challenges, and a passion for learning and growing within a dynamic environment.
Marketing Knowledge:
Understanding of media planning, marketing, and promotions, with insight into their commercial impact.
Job Offer For the successful candidate, the following is on offer: Competitive Salary:
Up to £75K, depending on experience.
Bonus Potential:
Performance-based bonus for added financial reward.
Generous Pension Scheme:
10% pension contribution after two years (5% employer, 5% employee).
Hybrid Working:
A flexible working model with the option to work remotely, with occasional travel to the Windsor office once a fortnight.
Career Development:
Opportunity to be part of an innovative, data-driven team within a leading energy company, contributing to strategic decision-making.
Supportive Team Environment:
Collaborative, open, and friendly team culture that encourages professional growth and a balance of work and life.
Purpose-Driven Role:
Work in a company committed to sustainability and achieving Net Zero by 2050, contributing to a greener and fairer future.
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Work closely with the team to build and refine Marketing Mix Models (MMM) for the client's products, ensuring they align with business goals.
Data Analysis:
Analyse large datasets to measure the impact of marketing spend on key business outcomes such as sales and customer acquisition.
Stakeholder Communication:
Translate complex data findings into clear, actionable insights, creating presentations and reports to communicate findings effectively to various stakeholders.
Collaboration:
Work with cross-functional teams, including commercial, finance, marketing, and data science, to drive business decisions based on data.
Ad-Hoc Projects:
Assist in additional data-related projects as needed by the business, contributing to ongoing data initiatives and strategies.
Deadline Management:
Ensure projects are completed on time and meet business requirements.
Profile The successful candidate will have: Experience in Econometrics and MMM:
At least 3 years of experience in Marketing Mix Modelling (MMM) and econometrics, with a strong ability to analyse the effectiveness of marketing spend.
Strong Analytical Skills:
Expertise in handling large datasets, applying statistical methods, and using programming languages such as R, Python, or SQL to derive insights from data.
Effective Communication:
The ability to present complex data analysis in a clear, concise manner to stakeholders, tailoring communication to different audiences.
Attention to Detail:
High attention to detail with a keen ability to spot patterns and anomalies in data to drive informed decision-making.
Team Player:
Comfortable working in an open, collaborative environment with a mix of introverts and extroverts, and able to contribute to both independent and team-based projects.
Adaptability:
A proactive, inquisitive mindset, eager to tackle new challenges, and a passion for learning and growing within a dynamic environment.
Marketing Knowledge:
Understanding of media planning, marketing, and promotions, with insight into their commercial impact.
Job Offer For the successful candidate, the following is on offer: Competitive Salary:
Up to £75K, depending on experience.
Bonus Potential:
Performance-based bonus for added financial reward.
Generous Pension Scheme:
10% pension contribution after two years (5% employer, 5% employee).
Hybrid Working:
A flexible working model with the option to work remotely, with occasional travel to the Windsor office once a fortnight.
Career Development:
Opportunity to be part of an innovative, data-driven team within a leading energy company, contributing to strategic decision-making.
Supportive Team Environment:
Collaborative, open, and friendly team culture that encourages professional growth and a balance of work and life.
Purpose-Driven Role:
Work in a company committed to sustainability and achieving Net Zero by 2050, contributing to a greener and fairer future.
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