At a Glance
- Tasks: Use data science to shape marketing strategies and influence key business decisions.
- Company: Join Mars, a purpose-driven company with iconic brands.
- Benefits: Competitive salary, bonuses, and top-notch learning opportunities from day one.
- Other info: Collaborative environment with diverse talent and excellent career growth.
- Why this job: Be a strategic advisor and make a real impact on brand success.
- Qualifications: Bachelor's in STEM; 5+ years in data science with strong business acumen.
The predicted salary is between 60000 - 80000 £ per year.
Are you a data scientist with the mindset of a business consultant? We are seeking a strategic advisor who uses data science to help shape the future of our iconic brands. Join Mars as a Manager in our Marketing Insights & Strategy team, a key leadership role within our Analytics & Insights for Mars Marketing (AIM) Center of Excellence.
In this role, you will act as a strategic thought partner to senior marketing leaders. Your mission is to translate complex business challenges into data science problems and, in turn, translate the solutions back into actionable, high-impact business strategy. You will be more than a data expert; you will be a trusted advisor who influences key decisions, from investment choices to long-term brand planning. If you are driven by the challenge of using data to influence C-suite leaders and shape business outcomes, this is the role for you.
What are we looking for?
- Education & Mindset: A Bachelor’s degree in a STEM field (Data Science, Statistics, etc.) is required, with an advanced degree (Master's/PhD) preferred. You must possess deep business acumen and a consultative approach to problem-solving.
- Experience: You have 5+ years of experience in a data science role with a demonstrated track record of influencing business strategy. Experience in management consulting or an internal advisory role is a significant asset.
- Strategic Influence: You have a proven ability to act as a strategic thought partner, skilled in translating complex model outputs into C-suite level recommendations and shaping the strategic agenda of senior leaders.
- Stakeholder Partnership: You have an exceptional ability to build trusted partnerships with senior stakeholders (VPs, Directors), with the capacity to command a room, lead through influence, and foster collaborative relationships.
- Technical & Modeling: You have proficiency in Python or R for statistical modeling, strong SQL skills, and a deep understanding of machine learning techniques and experimental design (causal inference, A/B testing).
- Communication: You possess world-class communication and storytelling skills, with the ability to create and deliver clear, persuasive, and data-driven narratives to executive audiences.
What will be your key responsibilities?
- Advise & Influence: Serve as a primary strategic advisor to senior marketing leadership. Use data science insights to challenge assumptions, provide strategic guidance, and influence the direction of brand and marketing strategy.
- Frame & Solve: Partner with business leaders to proactively identify and frame their most complex challenges, scoping them into solvable data science problems and leading the path to a solution.
- Model & Interpret: Develop and deploy advanced statistical and machine learning models to uncover insights, then interpret and communicate the so what behind the data in a clear business context.
- Synthesize & Storytell: Integrate insights from your models with broad market intelligence to construct and deliver powerful, data-driven stories that drive action and impact.
- Build & Embed Capabilities: Act as a change agent by embedding data-driven decision-making and a test and learn culture within the marketing organization, building the analytical muscle of your business partners.
- Deliver Executive-Level Recommendations: Create and present compelling, high-stakes presentations to senior leaders that simplify complexity and empower them to make confident, data-backed decisions.
What can you expect from Mars?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company, striving to build the world we want tomorrow, today.
- Best-in-class learning and development support from day one, including access to our in-house Mars University.
- An industry-competitive salary and benefits package, including company bonus.
R150372 Manager - Marketing Science & Insights in London employer: Mars, Incorporated and its Affiliates
At Mars, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Manager in our Marketing Science & Insights team, you will have access to best-in-class learning and development opportunities, including our in-house Mars University, ensuring your professional growth is supported from day one. With a commitment to purpose-driven work and a competitive salary and benefits package, Mars offers a unique environment where your data-driven insights can shape the future of iconic brands while influencing senior leadership decisions.
Contact Details:
Mars, Incorporated and its Affiliates Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land R150372 Manager - Marketing Science & Insights in London
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We think you need these skills to ace R150372 Manager - Marketing Science & Insights in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
