Data Scientist - Claims

Data Scientist - Claims

London

Negotiable Salary + Excellent Benefits

Claims Recruitment Services is proud to bring this excellent job opportunity to the market with our client, a leading Lloyd’s Syndicate, Insurer & Reinsurer which prides itself on its truly global capability, enviable reputation, training, work/life balance, and career progression opportunities.

Working within the Group Claims function, the role will form part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which ultimately drive towards the data platform product vision.

Operating across various territories and business platforms, including Commercial, Retail and Personal Lines products, the successful candidate will need to have a strong mathematical / programming background and be a technically excellent problem solver, whilst also being comfortable with ambiguity.

Key Responsibilities

• Working as a core member in the team, delivering the Data Strategy and working in an agile methodology, to deliver trusted governed Data Science outcomes for the business.
• Working with a diverse group of data consumers across the Group to identify and capture business requirements, which can then be met with advanced analytics and machine learning solutions.
• Designing and developing analytical models on the cloud data platform, following best practices for end-to-end model lifecycle (e.g. exploratory data analysis, model development, model training, model deployment and retraining).
• Maintaining a continual feedback loop with Claims, Underwriters and Actuaries on segmentation/trend analysis and portfolio monitoring and optimisation - Trilogy Forum Group.
• Owning, maintaining and following development and design principles, as well as best practice (e.g. testing, performance tuning, source control, peer review).
• Creating and maintaining analytical model related documentation (e.g. solution design documentation, feature engineering design, details on experiments).
• Managing and delivering ad-hoc analytics requests from business stakeholders.

Key Requirements

• A deep understanding of data science, analytics platforms/ML domains, especially GenAI and NLP.
• Strong coding experience in Python, in a data science context and a good grounding in SQL. Any Databricks, MLFlow and Spark experience would be advantageous.
• Experience with frameworks (eg. PyTorch, TensorFlow, or JAX) and LLMs (e.g. prompt engineering, fine tuning, RAG).
• Experience building and fine-tuning various ML Models (supervised and unsupervised models, classification, clustering, regression, etc).
• Hands on experience with common ML libraries, such as Hugging Face, XGBoost, PyTorch, and TensorFlow.
• Track record of building and deploying ML models in production, with ability to monitor and remediate model decay of production ML models.
• Can provide data driven executive insights and communicate effectively.
• SME knowledge of technology architectures & processes involved in the modelling of data.
• Up-to-date knowledge of data privacy & security standards in an insurance context.
• Comfortable with manipulating and analysing large datasets, including data cleansing to provide insight to the business.
• Can work in partnership with other technical areas of the business, such as Actuaries, Underwriting Insights, Data Engineers, IT and Solutions Architecture, to drive the use of modelling, automation and analytics.

Keywords: Claims Data Scientist; Claims Data Analyst; Data Scientist; Data Science; Actuarial Analyst; London Market; Lloyd's Market; Lloyd's Syndicate

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