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For Companies At a Glance
- Tasks: Lead data science projects and transform data into actionable insights for better business decisions.
- Company: Join a leading healthcare company committed to innovation and inclusivity.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by leveraging advanced AI and data science techniques.
- Qualifications: 8+ years in analytics with strong communication and project management skills.
- Other info: Collaborative environment with a focus on diversity and inclusion.
The predicted salary is between 80000 - 100000 ÂŁ per year.
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.
Role Responsibilities
- 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.
- Leading ongoing and ad‑hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels.
- 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 in 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; prioritises competing demands; stays current on analytics/AI trends and applies them pragmatically.
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 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.
Sr Manager Data Science and AI in Tadworth employer: Pfizer
Contact Detail:
Pfizer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Manager Data Science and AI in Tadworth
✨Tip Number 1
Network like a pro! Reach out to connections in the data science and AI field, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those that highlight your experience with machine learning and analytics. This is your chance to demonstrate how you can turn data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain complex analytical concepts in a way that’s easy to understand. Remember, it’s all about connecting with your audience and making your insights relatable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Sr Manager Data Science and AI in Tadworth
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data science and AI shine through. Share specific examples of how you've tackled complex problems with data and the impact it had on your previous roles.
Tailor Your Experience: Make sure to align your experience with the job description. Highlight your hands-on experience in delivering end-to-end data science solutions and any relevant projects that demonstrate your ability to drive business insights.
Communicate Clearly: Use clear and concise language in your application. Remember, you’ll need to communicate complex ideas to various audiences, so showcase your ability to distill technical jargon into actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our International Data Science & AI organisation.
How to prepare for a job interview at Pfizer
✨Know Your Data Science Inside Out
Make sure you’re well-versed in the latest data science techniques and tools, especially those related to machine learning and AI. Be prepared to discuss your hands-on experience with end-to-end data solutions and how you've tackled complex analytical problems in the past.
✨Showcase Your Communication Skills
Since this role requires translating complex data insights into actionable recommendations, practice explaining your previous projects in a clear and concise manner. Tailor your examples to demonstrate how you’ve effectively communicated with both technical and non-technical audiences.
✨Demonstrate Leadership and Collaboration
Highlight your experience in leading cross-functional teams and managing stakeholders. Prepare examples that showcase your ability to influence without authority and how you’ve built strong relationships across different levels of an organisation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle ambiguity. Think of specific scenarios where you had to make data-driven decisions or adapt to changing priorities, and be ready to discuss the outcomes and lessons learned.