Senior Data Scientist - AI for Pharma Intelligence

Senior Data Scientist - AI for Pharma Intelligence

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI/ML projects in pharma, turning research into scalable solutions.
  • Company: Join Norstella, a leader in pharmaceutical intelligence and innovation.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
  • Other info: Fast-paced environment with exciting challenges and career advancement.
  • Why this job: Make a real difference in healthcare with cutting-edge AI technology.
  • Qualifications: Expertise in AI/ML and strong communication skills required.

The predicted salary is between 63000 - 77000 Β£ per year.

Norstella is seeking a Senior Data Scientist to drive AI/ML initiatives across pharmaceutical content and products.

You will partner with product and engineering teams to translate research into scalable microservices and data assets.

The role requires deep expertise in AI/ML techniques, LLMs, and strong communication to lead projects end-to-end in a fast-paced pharma-focused environment.

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Senior Data Scientist - AI for Pharma Intelligence employer: Norstella

Norstella is an exceptional employer, offering a vibrant work culture in the heart of central London that fosters creativity and collaboration. With a strong commitment to employee growth, the company provides extensive benefits including generous annual leave, pension matching, and opportunities for professional development in a dynamic editorial environment. Joining Norstella means being part of a multi-award-winning team dedicated to delivering high-quality content while also supporting community engagement and industry recognition through initiatives like the C+D Awards.

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Contact Details:

Norstella Recruitment Team

We think you need these skills to ace Senior Data Scientist - AI for Pharma Intelligence

AI/ML Techniques
Large Language Models (LLMs)
Data Asset Development
Microservices Architecture
Project Leadership
Communication Skills
Collaboration with Product Teams