Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Director, International MROI Data Science Lead

Pfizer
Tadworth
1 day ago
Create job alert

Director, International MROI Data Science Lead

ROLE SUMMARY

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 together 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, agnecies 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. 

Preferred: Experience in consulting, with a proven track record of delivering MMM projects for clients in diverse industries.

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., LightweightMMM, 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!

Marketing and Market Research

Related Jobs

View all jobs

Artificial Intelligence Specialist

Director of Investment Data Science

Director, AI Optimization & Productization-R&D Data Science

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Real World Data Scientist (Associate Director)

Senior GenAI R&D Leader - Data Science & Digital Health

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.