At a Glance
- Tasks: Lead a top-notch team in data science to optimise marketing strategies and drive patient health.
- Company: Join Pfizer, a global leader in healthcare dedicated to transforming lives.
- Benefits: Enjoy a hybrid work model, competitive salary, and a culture of flexibility and innovation.
- Other info: Be part of a diverse and inclusive workplace that values your unique contributions.
- Why this job: Make a real impact on patient health while advancing your career in a dynamic environment.
- Qualifications: Extensive experience in data science, particularly in Marketing Mix Modelling and team leadership.
The predicted salary is between 72000 - 108000 £ per year.
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through data and analytics? Pfizer is seeking a senior leader in Data Science to build and lead a best-in-class team focused on Marketing Mix Modeling (MMM) within commercial analytics. This role is responsible for hands-on development and deployment of MMM solutions, driving actionable insights for marketing optimization and ROI. The ideal candidate combines deep technical expertise in MMM with a consulting background, enabling strategic influence across multiple markets and business units. You will collaborate cross-functionally to empower data-driven decision-making, accelerate marketing transformation, and deliver measurable business impact.
ROLE RESPONSIBILITIES
- This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for across Commercial analytics to develop and implement models, insights, and data products that drive brands’ strategic priorities.
- Lead end to end design, implementation, and refinement of marketing mix models to measure and optimize the effectiveness of marketing channels and tactics (DTC, HCP paid media, emerging platforms).
- Lead the evolution of analytics methods and processes for Promotion Impact Analytics, Resource Allocation & Optimization at the enterprise level via both technology and process enhancements.
- Build, validate, and deploy econometric and machine learning models (regression, time series, Bayesian, causal inference) for marketing ROI analysis and budget allocation.
- Partner with marketing, media, agencies and commercial teams to evaluate campaign performance, forecast outcomes, and recommend strategic investments.
- Develop and oversee A/B tests, incrementality studies, and causal inference approaches to validate marketing impact.
- Ensure robust data pipelines, data quality, and governance for marketing analytics datasets.
- Lead cross functional team of data scientists & data engineers fostering innovation, technical excellence, and continuous learning.
- Present insights and recommendations to senior stakeholders in clear, actionable formats.
- Drive adoption of advanced MMM methodologies, including ad-stock, saturation, and response curve modeling.
- Stay abreast of latest MMM tools, platforms, and industry best practices.
BASIC QUALIFICATIONS
- Extensive relevant experience in data science/advanced analytics, including proven time in managerial roles.
- Significant hands-on expertise in Marketing Mix Modeling, including regression analysis, time series, Bayesian methods, and causal inference.
- Experience with open-source MMM frameworks (e.g., Lightweight MMM, Robyn, PyMC-based models).
- Exposure to agent-based media planning, causal ML.
- Experience leading teams or mentoring junior analysts.
- STEM (Science, Technology, Engineering, Mathematics) majors with quantitative emphasis – Statistics, Computer Science, Operations Research, Economics, Engineering etc.
- Industry or consulting experience, along with project management skills strongly preferred.
Technical Skills
- Proficient in Python and/or R, with solid understanding of advanced statistics.
- Strong hands-on experience in MMM development & deployment.
- Experience with Bayesian and classical econometric techniques (e.g., hierarchical models, regression, adstock, saturation, priors design).
- Familiarity with incrementality testing, experimental design, causal inference.
- Ability to build, validate, and maintain scalable MMM pipelines.
- Knowledge of cloud environments (AWS/GCP/Azure), SQL, and data engineering workflows.
- Experience integrating MMM outputs with business dashboards.
Business & Domain Skills
- Proven ability to translate data insights into commercial recommendations.
- Understanding of marketing channels, media planning, campaign measurement.
- Knowledge of pharma markets, HCP/DTP promotion strategy, and compliance.
- Ability to partner with marketing, finance, brand teams to influence decisions.
- Experience presenting to C-suite and senior leadership.
Responsibilities
- Lead development and enhancement of MMM models for multiple brands/markets.
- Design and maintain ROI optimization frameworks & budget allocation scenarios.
- Combine MMM with experimentation, digital attribution & forecasting.
- Own MMM roadmap, vendor management.
- Build insights playbooks and support annual brand planning & investment decisions.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
- Up to 15% Work Location Assignment: Hybrid.
The closing deadline for applications is January 4th 2026. All applicants must have the relevant authorisation to live and work in the UK / EU as applicable.
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
DisAbility Confident
We are proud to be a Disability Confident Employer and we encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments necessary to support your application and future career. Our mission is unleashing the power of our people, especially those with unique superpowers. Your journey with Pfizer starts here!
Director, International MROI Data Science Lead in Surrey employer: Pfizer
Contact Detail:
Pfizer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, International MROI Data Science Lead in Surrey
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend relevant events, and engage on platforms like LinkedIn. The more people you know, the better your chances of landing that dream role.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you tailor your responses and show you're genuinely interested in being part of their team.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on articulating your experience in data science and how it can drive marketing optimisation.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can leave a lasting impression and keep you top of mind. Plus, it shows your enthusiasm for the position and the company.
We think you need these skills to ace Director, International MROI Data Science Lead in Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director, International MROI Data Science Lead. Highlight your experience in Marketing Mix Modeling and data science, and don’t forget to showcase any consulting background you have. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about making an impact on patient health and how your expertise can drive marketing optimisation. Keep it engaging and relevant to the role – we love a good story!
Showcase Your Technical Skills: Don’t hold back on your technical skills! Make sure to mention your proficiency in Python or R, and any hands-on experience with econometric techniques. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Pfizer
✨Know Your MMM Inside Out
Make sure you have a solid grasp of Marketing Mix Modelling (MMM) concepts and techniques. Brush up on regression analysis, Bayesian methods, and causal inference. Be ready to discuss how you've applied these in past projects, as this will show your hands-on expertise.
✨Showcase Your Leadership Skills
As a Director, you'll need to lead a team of data scientists and engineers. Prepare examples of how you've successfully managed teams, fostered innovation, and driven results. Highlight your experience in mentoring junior analysts and how you've influenced cross-functional collaboration.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your experience with Python or R, and how you've built and maintained scalable MMM pipelines. Familiarise yourself with cloud environments and SQL, as these are crucial for the role.
✨Communicate Insights Clearly
You'll need to present complex data insights to senior stakeholders. Practice summarising your findings in clear, actionable formats. Think about how you can translate data into commercial recommendations that align with marketing strategies, as this will demonstrate your strategic influence.