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- Tasks: Lead data science initiatives to transform healthcare through innovative AI solutions.
- Company: Join Pfizer, a leader in patient-centric healthcare innovation.
- Benefits: Competitive salary, flexible work culture, and opportunities for professional growth.
- Other info: Collaborative environment with global teams and diverse perspectives.
- Why this job: Make a real impact on patients' lives with cutting-edge data science and AI.
- Qualifications: 8+ years in analytics and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
We’re in relentless pursuit of breakthroughs that change patients’ lives. We innovate every day to make the world a healthier place. To fully realize Pfizer’s purpose – Breakthroughs that change patients’ lives – we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals. Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues.
The International Data Science & AI organization is committed to transforming data into actionable intelligence and scalable AI capabilities that enable markets to drive better decisions, improved customer engagement, and measurable business outcomes. We are seeking a Sr Manager – Data Science and AI, to deploy in-market DS solutions in UK, Australia & Korea as well as lead capability programs across international markets, including program strategy, model design, product roadmap, delivery coordination across stakeholders.
This is a senior role with significant influence, requiring strong cross‑functional leadership across country business stakeholders, Data Science & IIS teams. The successful candidate will thrive in a fast‑paced, highly collaborative environment, translate business needs into clear project/program requirements, upscaling of in market and international capabilities from pilots to scalable deployments—while operating within governance, privacy, and responsible AI practices.
Role Responsibilities
- This role is accountable for delivering data science driven insights & solutions by developing and implementing models & insights, that drive brands’ strategic priorities.
- You are a top-tier hands on data scientist with experience in delivering end-to-end DS solutions & organizing analytical processes and workflows.
- You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights.
- You have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.
- Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems.
- Confirmed collaboration, executive communication and storytelling skills with ability to adapt and connect across a variety of audiences.
- This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.
- Be a self-starter, driven, accountable and a high‑energy leader.
Background in healthcare, Pharma, or health payments analytics experience highly preferred.
Basic Qualifications
- Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Statistics, Economics, Mathematics, Operations Research, Information Systems, Engineering, or a related discipline)
- 8+ years of work experience delivering analytics, data science, AI/ML, or digital/data products in a business environment, with demonstrated end-to-end ownership from problem framing to outcomes
- 4+ years of hands‑on product management experience
- Demonstrated experience translating business priorities into clear requirements and roadmaps and leading delivery across cross‑functional stakeholders (including influence without direct authority)
- Strong stakeholder management and communication skills: ability to distill complex analytical concepts into clear, decision‑oriented insights for technical and non‑technical audiences
- Strong program/project management skills: ability to define scope/deliverables, manage dependencies, monitor progress, and drive implementation and adoption.
- Experience working with data and analytics ecosystems (e.g., data platforms, BI, analytics engineering) and collaborating with engineering teams to operationalize solutions.
- Ability to operate effectively in a multi‑country, international environment, partnering across regions and time zones.
Preferred Qualifications
- Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
- Experience in segmentation (customer/HCP, account, or analogous segmentation), targeting, portfolio planning, or decision support, including measurement of impact and adoption.
- Experience in developing Machine Learning based products, preferably with Large Language Models and GenAI solutions
- Experience developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable
- Experience developing and deploying data and analytic products for use by technical and non‑technical audiences
- Pharma & Life Science commercial functional knowledge
- Pharma & Life Science commercial data literacy
Professional Characteristics
- Growth Mindset: Actively seeks improvement, evaluates the impact of insights, and helps partners anticipate strategic changes.
- Analytical Thinker: Synthesizes information across data sources into clear insights and recommendations; connects analytics to business drivers and value.
- Strong Communicator: Translates technical outputs into actionable commentary that enables effective decisions; adapts style to audience.
- Relationship Manager / Influencer: Builds durable partnerships across levels and functions; positively influences without formal authority.
- Highly Collaborative: Shares responsibility and credit; works effectively across teams; supports others through knowledge sharing and teamwork.
- Strong Program Manager: Defines scope, success criteria, and action plans; sequences work appropriately; monitors outcomes and drives adoption.
- Proactive Self‑Starter: Comfortable with ambiguity; prioritizes competing demands; stays current on analytics/AI trends and applies them pragmatically.
Non‑Standard Work Schedule, Travel or Environment Requirements
- Ability to work non‑traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia)
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. 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.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Sr Manager – Data Science & AI - UK & AUS in Banstead employer: Pfizer, S.A. de C.V
Contact Detail:
Pfizer, S.A. de C.V Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Manager – Data Science & AI - UK & AUS in Banstead
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your skills align with their mission of transforming lives through data science and AI.
✨Tip Number 3
Showcase your projects! Bring a portfolio of your work to interviews. Demonstrating your hands-on experience with data science solutions can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Sr Manager – Data Science & AI - UK & AUS in Banstead
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science and AI. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Storytelling Skills: Since communication is key, especially for this role, include examples of how you've translated complex data into actionable insights. We love seeing candidates who can tell a compelling story with their data!
Highlight Collaboration Experience: This position requires strong cross-functional leadership, so be sure to mention any past experiences where you’ve successfully worked with diverse teams. We’re all about teamwork here at StudySmarter!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Pfizer, S.A. de C.V
✨Know Your Data Science Stuff
Make sure you brush up on your data science and AI knowledge. Be ready to discuss specific models you've worked with, the outcomes they produced, and how they align with business goals. This role is all about translating complex data into actionable insights, so be prepared to showcase your hands-on experience.
✨Showcase Your Leadership Skills
As a Sr Manager, you'll need to demonstrate strong cross-functional leadership. Think of examples where you've influenced stakeholders without direct authority. Prepare to discuss how you've led teams through challenges and delivered results, especially in fast-paced environments.
✨Communicate Clearly and Effectively
You’ll need to distil complex analytical concepts into clear insights for both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact they had on business decisions. Remember, storytelling is key!
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills and ability to manage projects. Think about how you would approach deploying data science solutions in different markets, and be ready to discuss your strategies for overcoming potential obstacles.