Data Scientist – Scientific Research - Hybrid, London

Data Scientist – Scientific Research - Hybrid, London

Central London | Hybrid working | Up to £55k + bonus

• Use data and AI to accelerate scientific discovery!!

We're working with a global technology and information business helping researchers, healthcare professionals and organisations make better decisions through trusted scientific content, data and advanced analytics.

We're now looking for a Data Scientist to join a growing data science organisation and work on challenging problems across machine learning, NLP, information retrieval and generative AI.

What you'll be doing

• Develop and deploy machine learning and AI solutions across search, discovery, recommendation and knowledge applications.
• Develop NLP and LLM-based solutions, including embeddings, semantic search, RAG and generative AI applications.
• Build and evaluate models using Python, SQL and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn and Hugging Face.
• Communicate findings clearly to technical and non-technical stakeholders and help translate ambiguous problems into practical data science solutions.

You'll ideally have:

• Strong Python and SQL skills.
• Solid understanding of machine learning fundamentals, including model development, feature engineering, experimentation and evaluation.
• Experience working with large-scale datasets and production data science workflows.
• Practical experience with NLP, information retrieval, recommendation systems or generative AI.
• Experience with tools such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, Pandas and NumPy.
• Experience working with APIs, data pipelines and deploying models into production.
• Strong statistical and analytical skills, with the ability to design robust experiments and interpret results.
• A degree in Data Science, Computer Science, Statistics, Mathematics or another quantitative discipline is advantageous but not essential.

Central London | Hybrid working | Up to £55k + bonus