Are you ready to turn complex commercial and medical questions into robust evidence that changes decisions and improves outcomes for patients? Reporting to the Head of Insights & Analytics, you will play a pivotal role in AstraZeneca UK's analytics transformation. As an individual contributor and analytical thought partner, you will lead the technical design, development, validation and industrialisation of advanced analytics, statistics and data science solutions that answer critical business questions. You will work across the product lifecycle and partner closely with Sales, Marketing, Medical, Market Access, Commercial Operations, Data and Technology colleagues to translate ambiguity into rigorous evidence and practical recommendations. Alongside immediate delivery, you will shape the future of analytics by advancing machine learning, AI-enabled analytics and next-generation capabilities such as Commercial Digital Twin. Design and deliver advanced analytics projects addressing critical business questions; personally develop complex Python solutions including data preparation, feature engineering with data engineers, model estimation, validation, sensitivity analysis and reproducible documentation; combine internal and external data sources to generate new insights and communicate sophisticated outputs simply and compellingly; apply relevant approaches including promotional mix modelling, patient and customer analytics, promotional effectiveness and Digital Twin to influence strategic and operational decisions. Identify opportunities to apply emerging analytical techniques, machine learning and AI to commercial and medical challenges; explore novel data sources, methodologies and technologies that create competitive advantage or improve patient outcomes; help shape next-generation advanced analytics capabilities, including Commercial Digital Twin and AI-enabled analytics, translating innovation into practical applications that scale. Serve as the UK authority for data science and set technical and statistical standards for methodology, causal inference, model validation, interpretation and communication of uncertainty; determine appropriate methodology for the highest-risk analyses; challenge analytical approaches to improve quality and reliability; collaborate closely with Sales, Marketing, Market Access and IBEX colleagues, particularly Data, Technology, Commercial Operations and Insights, to ensure analytics is a trusted source of expertise, innovation and strategic challenge. Essential Skills/Experience:- Relevant advanced analytics, data science, statistics, econometrics or equivalent technical expertise demonstrated through experience- Deep experience in advanced analytics, data science, statistics, econometrics or a related discipline- Experience applying advanced analytical techniques to commercial business problems within life sciences, healthcare, consulting or a comparable industry- Proven track record leading end-to-end analytical projects from problem definition through to business impact- Experience working with large, complex and diverse datasets- Experience applying methodologies such as marketing mix modelling and impact modelling and leveraging AI and machine learning- Deep knowledge of statistics, analytical methods, underlying mathematics, assumptions, trade-offs, interpretability and limitations- Demonstrated ability to influence decision-making through analytics and evidence- Ability to communicate complex analytical findings clearly to senior stakeholders- Proficiency in tools such as Python, R, SQL, Power BI, Databricks or equivalent advanced analytics platformsDesirable Skills/Experience:- Relevant degree or advanced technical qualification in data science, statistics, econometrics, mathematics, computer science or a related discipline- Experience with Git and cloud technologies for deployment, including platforms such as Snowflake or Databricks- Experience with causal inference, experimentation and uncertainty quantificationWhy AstraZeneca: Join a team where analytics and technology directly advance our ability to deliver life-changing medicines. You will be part of a company on a decisive journey to become data-led, with the investment and platforms to scale modern analytics, AI and machine learning across the enterprise. Expect to work at pace with cross-functional partners, often bringing unexpected teams into the same room to unleash bold thinking, and to use modern tools to put trustworthy data into every decision. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. SummaryLocation: UK - LondonType: Full time
Deployment Analytics Manager in London employer: AstraZeneca
AstraZeneca is an exceptional employer, offering a dynamic work environment in Cambridge where innovation meets collaboration. Employees benefit from a culture that values entrepreneurial thinking and scientific excellence, alongside opportunities for professional growth through mentorship and cross-functional projects. With a commitment to diversity and inclusion, AstraZeneca fosters a supportive atmosphere that empowers individuals to make meaningful contributions to life-changing medicines.
