A global specialist insurer with a strong reputation for using data and analytics to support complex risk and underwriting decisions. The business operates internationally and is known for focusing on more specialised areas of insurance, combining deep industry expertise with modern data science and machine learning capabilities. Their London-based data science team works closely with underwriting, pricing and technology teams to drive data-led decision making across the organisation.The RoleThis is a Senior Data Scientist position within a growing analytics function focused on solving real business problems through data. You’ll work across a range of business areas, developing predictive and prescriptive models as well as carrying out ad-hoc analysis to support strategic decision making.The role involves working end-to-end on data science projects, from understanding business challenges and exploring datasets through to building machine learning models and communicating insights to stakeholders. You’ll collaborate with data engineers, analysts and technical teams, helping to mature the organisation’s analytics capabilities while ensuring solutions deliver tangible business value.What They’re Looking ForStrong experience in data science with a track record of delivering impactful analytical solutionsProficiency with Python, R or similar analytical tools, and experience working with SQL and large datasetsExperience developing predictive or prescriptive models using machine learning or statistical techniquesSolid grounding in statistics and data analysisInterest in a range of ML approaches, from traditional models through to more advanced techniques such as NLP or deep learningExposure to large language models or cloud platforms (e.g. GCP) is beneficialStrong communication skills with the ability to explain technical insights to non-technical stakeholdersExperience within finance or insurance is advantageous but not essential.If you’re interested in this role, the apply now or reach out to Oscar Harper at IC Resources.