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- Tasks: Lead data activities for Marketing Mix Modelling, including analysis and model validation.
- Company: Join a leading multinational FMCG brand in London with a strong market presence.
- Benefits: Enjoy hybrid working, long-term contract potential, and opportunities for career growth.
- Why this job: Be part of a dynamic team, making impactful decisions through data-driven insights.
- Qualifications: Advanced degree in Data Science or related field; proven experience in MMM and Python required.
- Other info: Initial 6-month contract with the possibility of extensions over the next 2-3 years.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid Working)
Duration: Minimum 6 month contract + long term extensions - Project scope scheduled for the next 2/3 years.
Start Date: ASAP
We have an excellent opportunity for a Senior Marketing Data Scientist/MMM Specialist to join a multinational FMCG brand in London. Hybrid working, initial 6 month contract + opportunity to extend long-term.
Role Summary:
Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning.
Key Responsibilities:
- Extract, manipulate, and analyze datasets to prepare for modelling (Excel, SQL, Python, Pandas).
- Build and refine base models with clear variable rationale and KPI linkage.
- Create ROI workbooks, response curves, and optimization charts.
- Run scenarios for budget allocation and client objectives.
- Validate models for accuracy, suggest and test improvements.
Required Skills & Experience:
- Proven experience with MMM development and implementation.
- Strong Python skills; familiarity with R for MMM.
- Expertise in regression modeling, statistical and ML techniques.
- Experience with probabilistic programming, Bayesian methods, and MCMC.
- Proficient in SQL and/or Spark for large-scale data mining.
- Solid understanding of statistical foundations and mathematical modelling.
- Familiarity with cloud-based frameworks; Azure preferred.
- Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field.
Strong Points:
- Deep technical specialization in optimization, simulation, and applied math.
- Ability to translate complex models into actionable business insights.
Senior Marketing Data Scientist employer: ECM Talent
Contact Detail:
ECM Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist
✨Tip Number 1
Network with professionals in the marketing data science field, especially those who have experience with Marketing Mix Modelling. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends and techniques.
✨Tip Number 2
Showcase your technical skills by working on relevant projects or case studies that demonstrate your expertise in Python, SQL, and statistical modelling. Having a portfolio of your work can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific tools and frameworks mentioned in the job description, such as Azure and MCMC methods. Being able to discuss these technologies confidently during interviews will show your commitment and readiness for the role.
✨Tip Number 4
Prepare to discuss how you've translated complex data models into actionable insights in previous roles. Be ready with examples that highlight your ability to impact business decisions through data-driven strategies.
We think you need these skills to ace Senior Marketing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Marketing Mix Modelling (MMM) and showcases your strong Python skills. Include specific projects where you've used regression modelling and statistical techniques.
Craft a Compelling Cover Letter: In your cover letter, emphasise your proven experience with MMM development and implementation. Discuss how your expertise in data extraction, transformation, and analysis aligns with the role's responsibilities.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and any familiarity with R or cloud-based frameworks like Azure. Mention any experience with probabilistic programming and Bayesian methods to demonstrate your technical capabilities.
Highlight Problem-Solving Abilities: Provide examples of how you've translated complex models into actionable business insights. This will show your ability to guide budget optimisation and scenario planning effectively.
How to prepare for a job interview at ECM Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other relevant tools. Bring examples of past projects where you've successfully implemented Marketing Mix Modelling (MMM) and be ready to explain your approach in detail.
✨Demonstrate Your Analytical Thinking
During the interview, highlight your ability to analyse data and derive actionable insights. Discuss specific instances where your analysis led to significant business decisions or optimisations, showcasing your understanding of KPIs and budget allocation.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think on your feet. Prepare to run through hypothetical scenarios related to budget allocation and model validation. This will demonstrate your problem-solving skills and your ability to apply theoretical knowledge in practical situations.
✨Communicate Complex Concepts Clearly
Since the role involves translating complex models into business insights, practice explaining your work in simple terms. Be ready to discuss how you would present your findings to non-technical stakeholders, ensuring they understand the implications of your analyses.
