A global specialist insurer is looking to expand its data science capability within its London Market division. The business operates across a range of complex commercial insurance areas and is well known for using data and analytics to support underwriting, pricing and strategic decision-making. Their analytics teams work closely with the business to apply modern data science techniques to real-world problems, helping drive a more data-led culture across the organisation.0The RoleAs a Data Scientist, you’ll work on a variety of high-impact analytical projects across the business. The role involves taking problems from initial exploration through to modelling and insight generation, applying statistical and machine learning techniques to support decision-making.You’ll work with a mixture of internal and external datasets, delivering both ad hoc analysis and predictive or prescriptive models. The role is collaborative and stakeholder-facing, with regular interaction with teams such as underwriting, pricing and engineering to ensure analytical outputs are both actionable and implemented effectively.What They’re Looking ForExperience in data science, advanced analytics, or a strong academic background in a relevant fieldStrong programming skills in tools such as Python, R or SQLExperience building predictive models or applying machine learning techniques to business problemsSolid grounding in statistics and data analysisAbility to communicate technical insights clearly to non-technical stakeholdersInterest in a range of machine learning techniques (e.g. linear models, tree-based models, deep learning)Exposure to cloud platforms (e.g. GCP) or large language models is beneficial but not essentialDegree in a STEM discipline or equivalent experienceThis is a great opportunity for someone who enjoys solving real business problems with data and wants to work in a collaborative, technically strong analytics environment.If you’re interested in this role, then apply now or reach out to Oscar Harper at IC Resources