Sr Manager Data Science, Business Analytics & Insights UK

13 Jun 2022
13 Jul 2022
Full Time
Contract Type


Business Analytics & Insights (BAI) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, BAI's rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization.

The person in this role is accountable for delivering data science-driven strategic and tactical support in the UK. As a strategic partner to Commercial and Medical team, this person will develop and implement models and data-science derived insights that directly influence and transform most critical questions across the business.

This will include leading the execution and interpretation AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.

As a Senior Manager Data Scientist, the person in this role will work closely with the Data Science COE and shape the industrialization of bespoke AI/ML models, that directly impact the working models of other members of the BAI Data Science Team.

This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join BAI colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways.

Technical Skills

  • Fluent in English (written and spoken)
  • Strong MS Excel and PowerPoint skills
  • Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques
  • Experience in understanding brand content, strategy, and tactics
  • Ability to effectively utilize dashboards and data products to derive insights
  • Understands quantitative and qualitative research methodologies
  • Experience in management of secondary data with application of real-world data
  • Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics
  • Proven ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question
  • Ability to be flexible, prioritize multiple demands and deal with ambiguity
  • Proven experience in business analytics or data science function, country strategy and/or strategic consulting
  • Experience using data science models to solve problems in a business environment setting


  • Bachelor's degree required, ideally in quantitative discipline like engineering or data science; also advanced degree preferred in business administration, statistics, or other relevant field

The closing deadline for applications is June 26th.

All applicants must have the relevant authorisation to live and work in the UK.

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