Senior Data Scientist

Senior Data Scientist – Edinburgh, Craneware Group

Our Data Science team plays a critical role in shaping the future of healthcare technology. We work at the intersection of advanced analytics, machine learning, and AI, partnering closely with Engineering, Product, and the wider business to transform complex healthcare data into meaningful, real‑world outcomes.

• Improve existing products and catalyze new data‑driven solutions.
• Explore how modern data science and generative AI can deliver measurable impact for healthcare providers.

• Significant hands‑on experience as a Data Scientist, with a strong track record of delivering measurable business or product impact.
• A degree in a computational or quantitative discipline such as Data Science, Statistics, Engineering, Mathematics, Physics, or a related field.
• Strong programming skills in Python or R, alongside solid experience using SQL and working with relational and large‑scale data sets.
• Deep expertise in statistical modelling and machine learning, with practical experience taking models into production.
• Experience designing and applying generative AI solutions, including working with large language models (LLMs) and prompt engineering.
• Familiarity with data visualisation tools such as Tableau, Power BI, Qlik, or similar.
• Experience working in cloud environments, ideally Microsoft Azure, with an understanding of modern data platforms.
• A good understanding of MLOps practices, including versioning, monitoring, and automated deployment pipelines.
• Experience working in Agile, CI/CD‑driven engineering environments and using ALM and source control tools (e.g. Jira, Azure Dev Ops, Git).
• Excellent communication skills, with the ability to explain complex ideas clearly and adapt messaging to different audiences.
• A proactive, self‑motivated approach with the confidence to influence, collaborate, and continuously improve technical processes.
• Experience working with healthcare, medical, or claims data is highly desirable.