Junior Data Scientist | Actuarial Analyst

About

Description

The Individual Life Analytics team is responsible for strategic and impactful projects for the business. The focus of the team is to support development and implementation of data science projects in the Advanced Analytics (Data Science) function of the team. The available roles involve exposure to a wide range of business areas such as underwriting, claims, legal and other operations, as well as the wider Discovery Group.

Responsibilities

• Mining large structured and unstructured datasets for data exploration to find new insights
• Perform data investigations to inform operational efficiency and interaction strategies
• Transform data into meaningful model inputs and data pipelines
• Develop and refine predictive models such as fraud, underwriting and customer behavioural models
• Prototyping Natural Language Processing (NLP) and Large Language Model (LLM) business cases
• Support model implementation and monitoring of model performance
• Further develop existing models and research new techniques to fully utilise the rich Discovery data universe
• Participate in the wider Discovery Data Science community

Qualifications

• Matric with Mathematics Honours Degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science or Applied Mathematics
• Demonstrable knowledge and experience in statistical modelling, data mining, machine learning or optimisation
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing

Application instructions:

• To apply simply, click on the apply button