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- Tasks: Lead data activities for Marketing Mix Modelling, including analysis and model validation.
- Company: Join a leading multinational FMCG brand making waves in the market.
- Benefits: Enjoy hybrid working, long-term contract options, and a dynamic work environment.
- Why this job: Be part of a project shaping marketing strategies with real impact over the next few years.
- Qualifications: Advanced degree in Data Science or related field; strong Python and SQL skills required.
- Other info: Opportunity for long-term career growth and development in a collaborative team.
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.
Senior Marketing Data Scientist (London Area) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Scientist (London Area)
✨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
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and cloud-based frameworks like Azure. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 3
Prepare to discuss your previous experience with Marketing Mix Modelling in detail during interviews. Be ready to share specific examples of how you've built and validated models, as well as how your insights have influenced budget optimisation and decision-making.
✨Tip Number 4
Stay updated on the latest developments in statistical methods and machine learning techniques relevant to marketing data science. This will not only help you in interviews but also show that you're proactive and passionate about your field.
We think you need these skills to ace Senior Marketing Data Scientist (London Area)
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 successfully implemented MMM techniques.
Craft a Compelling Cover Letter: In your cover letter, emphasise your expertise in regression modelling and statistical techniques. Mention any experience with probabilistic programming and how it relates to the role, demonstrating your understanding of the company's needs.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and any familiarity with cloud-based frameworks like Azure. Provide examples of how you've used these skills in past roles to drive business insights.
Highlight Educational Background: Since an advanced degree is required, ensure you prominently feature your MS/PhD in Data Science, Computer Science, or a related field. Discuss any relevant coursework or projects that align with the job responsibilities.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other relevant tools. Highlight specific projects where you've successfully implemented Marketing Mix Modelling (MMM) and how your technical skills contributed to the outcomes.
✨Demonstrate Your Analytical Thinking
During the interview, be ready to explain your thought process when analysing data. Discuss how you approach model validation and improvements, and provide examples of how your analytical insights have driven business decisions.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think on your feet. Prepare to discuss how you would handle budget allocation scenarios or optimise marketing strategies based on hypothetical data sets. This will showcase your problem-solving abilities.
✨Communicate Complex Ideas Simply
Since the role involves translating complex models into actionable insights, practice explaining your work in layman's terms. This will demonstrate your ability to communicate effectively with non-technical stakeholders.
