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- Tasks: Lead data activities to support Marketing Mix Modelling and guide budget optimisation.
- Company: Join a leading multinational FMCG brand in London with a strong market presence.
- Benefits: Enjoy hybrid working, long-term contract opportunities, and a dynamic work environment.
- Why this job: Make an impact by translating complex data into actionable insights for marketing strategies.
- Qualifications: Advanced degree in Data Science or related field; proven experience in MMM and Python skills required.
- Other info: Opportunity for long-term career growth with projects scheduled for the next 3-4 years.
The predicted salary is between 48000 - 72000 £ per year.
Location: London (Hybrid Working)
Duration: Minimum 12 month contract + long term extensions - Project scope scheduled for the next 3/4 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 12 month contract + opportunity to extend long-term & start date ASAP.
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, PyMC 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.
Contact Detail:
ECM Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in Marketing Mix Modelling (MMM) and be prepared to discuss how you've applied these techniques in your previous roles. This will show us that you’re not just knowledgeable but also passionate about the field.
✨Tip Number 2
Brush up on your Python skills, especially focusing on libraries like Pandas and NumPy. Being able to demonstrate your proficiency in data manipulation and analysis during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to showcase your experience with regression modelling and statistical techniques. We love candidates who can provide real-world examples of how they’ve used these methods to drive business decisions.
✨Tip Number 4
If you have experience with cloud-based frameworks like Azure, make sure to highlight this in conversations. Understanding how to leverage cloud technologies for data science can be a significant advantage in our fast-paced environment.
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 or model validation, demonstrating your problem-solving skills and how you would apply your technical knowledge in real-world situations.
✨Communicate Complex Ideas Simply
Since the role involves translating complex models into business insights, practice explaining your work in layman's terms. This will show your ability to communicate effectively with non-technical stakeholders, which is crucial for this position.
