Data Scientist
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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
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
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
- Healthcare, pharmaceutical or life sciences experience would be a bonus, but isn’t essential.
Remote-first, flexible working, with the opportunity to work on cutting-edge GenAI projects that have meaningful real-world healthcare impact.
Description sourced from the public LinkedIn listing — this role isn't indexed from the company's career page yet.
Skills
- Python
- SQL
- AWS
- Azure
- GCP
- Three.js
- REST
- pandas
- NumPy
- scikit-learn
- TensorFlow
- PyTorch
- LangChain
- NLP
- Jira
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