Data Science: Graduate Intern: Job Grade: 07: SLS: Forensic Services: Bellville

Date: 14 Jul 2026

Location:

Bellville, Western Cape, ZA

Company: Sanlam Group

Who are we?

Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of the following business units Retail Mass, Corporate, Risk and Savings, Glacier and various business enabling functions. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the four clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives.

What will you do?

This role exists in our Sanlam Life and Savings: Forensic Services department that focuses on providing effective fraud risk management services to all business clusters serviced. This is a specialist technical role that works closely with the Forensic Investigators, and various stakeholders within the business, and whose primary responsibilities are to undertake data analytics, investigations and reporting.

What will make you successful in this role?

Extract and create regular MIS reports for the business
Create new/updated report views
Undertake adhoc investigations and reports based on business needs/problems
Build business models
Undertake data management (structure and storage, transformations)
Apply data analytics/science
Stakeholder management

Qualification and Experience

Grade 12
Related qualification in data science preferable (maths and statistics)
Relevant accreditations in tools, applications (i.e.: Python, R, SQL, etc)
6 months -1 year working experience in data analytics code and data extraction/reporting

Knowledge and Skills

Proficient in MS: Excel, Word, PP, Outlook and Access
Standard Data storage reading/writing: SQL, flat files including CSV
GLM modelling and Machine learning techniques
BI and Big Data tools would be an advantage: Hadoop, MapReduce, Hive, Pig, Data streaming
Data modelling
Data storage and transformation
Database design and management
Architecture and Infrastructure management and enablement
Data Science solutions for Big Data problems.
Data governance and security
MIS and reporting
Business modelling and feature engineering

Personal Attributes

Decision quality - Contributing independently

Optimises work processes - Contributing independently

Plans and aligns - Contributing independently

Tech savvy - Contributing dependently

Communicates effectively - Contributing independently

Nimble learning - Contributing independently

Core Competencies

Being resilient - Contributing independently

Collaborates - Contributing independently

Cultivates innovation - Contributing independently

Customer focus - Contributing independently

Drives results - Contributing independently

Build a successful career with us

We’re all about building strong, lasting relationships with our employees. We know that you have hopes for your future – your career, your personal development and of achieving great things. We pride ourselves in helping our employees to realise their worth. Through its five business clusters – Sanlam Fintech, Sanlam Life and Savings, Sanlam Investment Group, Sanlam Allianz, Santam, as well as MiWay and the Group Office – the group provides many opportunities for growth and development.

Turnaround time

The shortlisting process will only start once the application due date has been reached. The time taken to complete this process will depend on how far you progress and the availability of managers.

Cloisng date:

Our commitment to transformation

The Sanlam Group is committed to achieving transformation and embraces diversity. This commitment is what drives us to achieve a diverse, inclusive and equitable workplace as we believe that these are key components to ensuring a thriving and sustainable business in South Africa. The Group's Employment Equity plan and targets will be considered as part of the selection process.