Our client is a growing, fast-paced and dynamic company that provides innovative risk assurance products to individual clients. They are looking for a Qualified Actuary to join their Life Analytics team. The focus of the team is to support the development and implementation of data science projects across a wide range of business areas.

Candidates who are interested should be a Qualified Actuary with at least 3 years’ work experience in the Life Assurance industry. You should have experience in a big data environment, with proficiency in SQL, and at least one of R, Python, Spark or similar tools.

Responsibilities will include:

• Mining large structured and unstructured datasets for data exploration to find new insights.
• Performing data investigations to inform operational efficiency and interaction strategies.
• Transforming data into meaningful model inputs and data pipelines.
• Developing and refining predictive models such as fraud, underwriting and customer behavioural models.
• Prototyping and supporting the implementation of Natural Language Processing (NLP), Large Language Model (LLM) and other generative AI business cases.
• Supporting model implementation and monitoring of model performance.
• Further developing existing models and researching new techniques to fully utilise data.

For more information, please contact Henda.