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- Tasks: Drive marketing effectiveness using advanced data science techniques and models.
- Company: Join a top global company with a focus on innovation.
- Benefits: Flexible remote work, competitive pay, and professional growth opportunities.
- Why this job: Make a real impact in marketing through data-driven insights and modelling.
- Qualifications: Expertise in PyMC, Python, and statistical modelling required.
- Other info: 6-month contract with potential for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Job Type: Contract/Temporary
Location: London
Negotiable
Job Ref: BBBH
Date Added: January 21st, 2026
Consultant: Louis Poynter
6 Months Contract
Inside IR35
Remote/1 day onsite a month
Bankside
My client, a top Global company, is currently looking to recruit a Data Scientist with PyMC & MMM experience to join their team on a 6-month contract basis. Please note if successful this position will need to set up via an Umbrella Company/PAYE.
This Senior Data Scientist is required to work with our client's Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models.
Responsibilities:
- Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation.
- Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling.
- Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models.
- Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions.
- Taking base models, oversee or build in additional improvements and progress the model towards finalisation.
- Create sales effect/ROI workbook.
- Create response curves and optimisation charts.
- Budget allocation. Run scenarios required to answer client objectives for the purpose of forward-looking optimization.
- Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.
Requirements:
- Proven experience in developing and implementing Marketing Mix Models.
- Be an expert in PyMC, Python and familiar with R programming for MMM Models.
- Have in-depth understanding of statistical modelling/ML techniques.
- Experience with Regression based models applied to the context of MMM modelling.
- Solid experience with Probabilistic Programming and Bayesian Methods.
- Be an expert in mining large & very complex data sets using SQL and Spark.
- Have in-depth understanding of statistical modelling techniques and their mathematical foundations.
- Have a good working knowledge of PyMC and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred.
- Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation).
- MS or PhD degree in Data Science, Computer Science, Applied Mathematics, Statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable.
Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Data Scientist - Marketing Mixed Modelling (MMM) with PyMC employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Marketing Mixed Modelling (MMM) with PyMC
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We all know that sometimes it’s not just what you know, but who you know that can help land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; show it! Create a portfolio showcasing your projects, especially those involving PyMC and MMM. We recommend using platforms like GitHub to share your code and analyses. This way, potential employers can see your skills in action!
✨Ace the Interview
Prepare for your interviews by brushing up on common data science questions and case studies related to marketing mix modelling. We suggest practising with friends or using mock interview platforms. The more comfortable you are, the better you’ll perform when it counts!
✨Apply Through Us!
We’ve got your back! Make sure to apply through our website for the best chance at landing that Data Scientist role. We’re here to support you every step of the way, so don’t hesitate to reach out if you need any help during the application process.
We think you need these skills to ace Data Scientist - Marketing Mixed Modelling (MMM) with PyMC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with Marketing Mix Modelling and PyMC. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Scientist role. We love seeing enthusiasm and a clear understanding of the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires proficiency in Python, SQL, and statistical modelling, make sure to highlight these skills prominently. We’re looking for evidence of your expertise, so include specific examples of how you’ve used these tools in past projects.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Lorien
✨Know Your Models Inside Out
Make sure you can discuss your experience with Marketing Mix Modelling and PyMC in detail. Be prepared to explain how you've built models, selected variables, and validated results. This shows you not only understand the theory but also have practical experience.
✨Brush Up on Your Technical Skills
Since this role requires proficiency in Python, SQL, and Excel, ensure you're comfortable discussing your technical skills. You might be asked to solve a problem or explain a piece of code, so practice coding challenges or data manipulation tasks beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach specific modelling scenarios or client objectives. Think about past projects where you had to optimise budgets or validate models, and be ready to share your thought process and outcomes.
✨Show Your Statistical Knowledge
This role demands a solid understanding of statistical modelling techniques. Brush up on concepts like regression analysis and Bayesian methods, and be ready to discuss how you've applied these in real-world situations. It’ll help you stand out as a knowledgeable candidate.
