(senior) Manager-advanced Analytics

AstraZeneca

Predictive modeling
Generative ai
Causal inference
Design and deploy advanced analytical solutions, ranging from predictive modeling to Generative AI, to optimize sales force effectiveness, enhance marketing precision, and drive data-led decision-making

Job Summary

  • Design and deploy advanced analytical solutions, ranging from predictive modeling to Generative AI, to optimize sales force effectiveness, enhance marketing precision, and drive data-led decision-making.
  • Collaborate closely with commercial stakeholders to translate "business questions" into "data science problems" and act as a subject-matter expert presenting complex technical findings to non-technical leadership.
  • Partner with IT and global technology teams to implement solutions within cloud environments, ensuring scalability and robustness of models by following MLOps best practices.

Matching Summary

Design and deploy advanced analytical solutions, ranging from predictive modeling to Generative AI, to optimize sales force effectiveness, enhance marketing precision, and drive data-led decision-making.

Skills & Requirements

Must-have

  • Predictive modeling
  • Generative AI
  • Causal inference
  • Intelligent process automation
  • Python
  • AI/ML principles and frameworks
  • SOTA LLMs and coding agents

Nice-to-have

  • Business acumen
  • Story-driven presentations
  • Agile mindset
  • Prompt engineering expertise

Key Requirements

  • Master’s or PhD in Science, Engineering, or quantitative field
  • 7–10 years of professional experience
  • Proven track record of delivering end-to-end ML products
  • Experience in Pharmaceuticals, Life Sciences, or FMCG preferred
  • Fluency in English

Work Rights

Not specified

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