Data Scientist - Sandton, South Africa - Discovery Ltd.
Description
Business Unit:
Discovery Employee Benefits
Function:Actuarial Sciences
Date:23-Mar-2023Achieve more than
- ***
YOU BELIEVE
- Discovery
- Employee Benefits
- Data Scientist
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 fastpaced and dynamic environment enables smart, selfdriven 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 Employee Benefits - Discovery
Key Purpose
- The main purpose of this role is to enable the business to have a high degree of assurance in data quality and to draw out insights from data to support management decision making.
- This will be achieved by performing data & Standard Operating Procedure (SOP) audit and remediation related tasks, focusing mainly on Group Risk products and the data that feeds into pricing, valuation and other actuarial uses of this data. Over time there will also be opportunity to expand this role into the Umbrella Retirement Funds product space.
Areas of responsibility may include but not limited to - Analysing the applicable data accuracy as well as the system design and/or operating procedures where data issues are identified
- Building tools to identify data issues in an automated manner
- Analysing servicing scenarios and identifying possible constraints on product design
- Assisting with adhoc investigations and analyses including playing a supportive role in quantifying the financial impact of possible misalignment of actuarial specification and system implementation
- Enhancing management info, product insights, and technical marketing material using data analytics skills
Personal Attributes
- Living the Discovery values
- Analytical and problem solving
- Planning, prioritising and organising
- Attention to detail
- Customer focus
- Good written and verbal communication
- Interpersonal savvy
- Innovation
- Resourceful and tenacious
- Collaboration/Team work
- Stress Tolerance
Education and Experience
- Individual or Group Life insurance 5 years' industry experience
- MS Excel
- Advanced
- Database and/or statistical software experience (SQL, R, Python etc)
- Degree in actuarial, mathematics, statistics, data science or other applicable analytical degrees
- Knowledge of administration systems/processes in the Life insurance industry
- Industry experience working with large sets of Life insurance data
- Programming experience and understanding (e.g. VBA, Java)
- Systems work or software testing experience
- Experience in creating Management Info reports (e.g. Power BI)
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.
- EMPLOYMENT EQUITY
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