Senior Data Scientist

As a Senior Data Scientist, you’ll join a collaborative, highly skilled team that values strong technical foundations, thoughtful problem-solving, and responsible innovation. From improving existing products to helping catalyse new, data-driven solutions, the team is constantly exploring how modern data science and generative AI can deliver measurable impact for healthcare providers. You Will Be

• Designing and developing high-quality, scalable analytics and AI solutions, including machine learning models and generative AI applications
• Applying advanced statistical modelling and modern data science techniques to solve complex, high-impact problems
• Working closely with Engineering, Product, and Business stakeholders to embed data science solutions into production systems
• Championing data science best practices across the organisation, from model governance and validation through to responsible AI use
• Reviewing and contributing to production-level code, ensuring quality, consistency, and alignment with development standards
• Keeping up to date with emerging technologies and techniques to drive continuous innovation
• Mentoring and supporting junior data scientists and analysts, helping shape technical growth and consistent ways of working
• Translating complex analytical insights into clear, actionable recommendations for both technical and non-technical audiences

Do you have experience in Tableau?, * 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 DevOps, 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

Let’s transform the business of healthcare! At The Craneware Group, we are dedicated to empowering our customers with industry-defining insights that pave the way for a brighter future.

If you are an energetic, forward-thinking individual with a passion for innovation, we invite you to join our thriving team of more than 750 dedicated professionals. Together, we’ll fuel the expansion of our SaaS platform and develop cutting-edge applications that redefine the healthcare landscape.

For UK Only Postings: The Craneware Group supports a flexible work environment as well as a collaborative and teamwork focused atmosphere. Employees will be expected to work a hybrid working arrangement spending 40% of their time per month in the Tanfield office - approx 2 days per week. The Team

At The 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 turn complex healthcare data into meaningful, real-world outcomes.