Data Scientist – 28211

Responsible for supporting the delivery of Predictive Analytics initiatives 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): 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.
Practical experience in statistical modelling, machine learning, text mining, and data visualization tools.
Previous experience in life or health insurance, direct and/or reinsurance is desirable.
Proficiency in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar.
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