Job Description

Business Unit:

Discovery Life

Function:

Data Sciences

Date:

15 Jul 2025

About Discovery

Discovery's core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Life

Discovery Life is an ever growing fast-paced and dynamic environment that provides innovative risk assurance to individual clients. This environment thrives on customer engagement and customer experience as well as mutually beneficial relationships with our brokers and other stakeholders. It is important for our employees to provide world class service to our internal and external clients, thereby ensuring long and sustainable relationships.

Purpose

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

Key Outputs / Job Responsibilities

Key Outputs may include but are not limited to:


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 and supporting the implementation of Natural Language Processing (NLP), Large Language Model (LLM) and other generative AI business cases Support model implementation and monitoring of model performance Further develop existing models and research new techniques to fully utilise the unique and rich Discovery data universe Participate in the wider Discovery Data Science community

Work Experience

Essential:


3 - 5 years related experience




Advantageous:


>5 years related experience

Education / Qualifications / Accreditations with Professional Body

Essential:


Qualified Actuary (FIA, FASSA)




Professional Registration required:


Qualified Actuary (FIA, FASSA)

Technical Skills or Knowledge

Required:

Programming skills Statistical and mathematical skills Great writing and reporting skills Life insurance actuarial knowledge Presenting insights and solutions to senior management

Advantageous:

Programming skills, specifically in Prophet, SQL and R/Python Expert statistical and mathematical skills Storytelling and data visualisation in addition to reporting skills Life / Health insurance actuarial knowledge




EMPLOYMENT EQUITY



The Company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.