Senior Data Scientist - 28210

Be responsible for taking a leading role in the delivery of UKLB's Predictive Analytics initiative to support growth across all its lines of business by harnessing data-model-driven insights to meet their ambitions.

• Location: London
• Category: Data
• Type: Permanent

Key Duties (including but not limited to):

• Deliver the Predictive Analytics roadmap to achieve data-model driven stakeholder value for UKLB and their clients. Assist the Head of Predictive Analytics in establishing and developing a mature Data & Analytics culture and its talent to deliver data-model-driven stakeholder value.
• Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets, enabling a build-up of a competitive Flow proposition, and enhancing accuracy and efficiency to expand the overall Longevity business portfolio.
• Identify potential solutions to support the Protection line of business on new propositions across underwriting, claims and distribution where Predictive Analytics can deliver new insights and solutions to reduce friction.
• Conceptualize and offer analytics products and services to internal and external stakeholders along the whole value chain by using modern statistical methods like GLM, machine learning and where applicable, Knowledge Graphs and Large Language Models.

Minimum Requirements:

• Degree, Master's degree or Ph.D. in a relevant field such as Computer Science, Statistics, Economics or Applied Mathematics.
• Several years of experience in key aspects of data analytics within Life and Health reinsurance, including actuarial concepts, risk assessment, and pricing methodologies.
• Deep expertise in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar, in a life insurance environment.
• Experience with the following is a plus: Azure components, Databricks, graph analytics, GenAI, Large Language Models, Knowledge Graphs.