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About the Role
We're working with a global healthcare communications and technology business that is growing its Medical Analytics & Innovation team.
They are looking for a Data Scientist with strong experience across machine learning, NLP, generative AI, and data engineering to help build real-world AI products within healthcare and life sciences.
Responsibilities
This role would suit someone who enjoys going beyond analysis — building scalable tools, models, and workflows that have practical client impact.
You’ll be involved in:
- Delivering end-to-end data science projects
- Building and optimising ML, NLP, and AI solutions
- Working with LLM APIs, prompt design, RAG, vector search, and GenAI platforms
- Designing scalable data pipelines using structured and unstructured data
- Working with APIs, cloud platforms, and modern data tools
- Creating reusable frameworks and analytical products
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Requirements
The ideal person will bring:
- Strong Python and SQL skills
- Experience in data science, ML, AI, NLP, or similar
- A degree in Statistics, Physics, Economics, Mathematics, Computer Science, or related field
- Experience deploying ML/NLP solutions into production
- Hands-on experience with LLMs/GenAI platforms such as OpenAI, Anthropic, or Azure OpenAI
- Cloud experience across AWS, Azure, or GCP
- Strong communication skills across technical and non-technical teams
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Healthcare, pharmaceutical, or life sciences experience would be a bonus but isn’t essential.
Benefits
Remote-first, flexible working, with the opportunity to work on cutting-edge GenAI projects that have meaningful real-world healthcare impact.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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