Data Scientist II

Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.

Hello, Future Insure Data Scientist

Join our dynamic team at the heart of operational analytics, where data meets business processes to drive meaningful change across the organisation.

This role is ideal for a curious and driven data scientist who thrives on solving complex process problems, uncovering root causes, and translating intricate data into clear, actionable insights for non-technical stakeholders. You’ll work closely with various teams to support claims operations, improve reporting, and enable strategic decision-making through high-impact analysis and storytelling.

What You’Ll Do

• Investigate and solve by analyzing operational data to uncover inefficiencies, determine root causes, and identify opportunities.
• Conduct ad hoc analysis to support claims investigations, including credit life, COVID loan claims, and ombudsman complaints.
• Take ownership of and deliver comprehensive reporting packs that provide operational performance insights and strategic recommendations tailored for senior stakeholders ​
• Build and maintain Power BI dashboards to provide real-time insights to management.
• Enhance and manage InsureWorX reporting for claims data accuracy and visibility.
• Collaborate with non-technical stakeholders to understand their challenges and translate data into business-friendly solutions.
• Present findings in leadership forums and contribute to strategic discussions with clear, compelling narratives.
• Provide operational support through data analysis for claims-related queries and escalations.
• Respond to ad hoc requests from various business units, offering insights that drive decisions and improve outcomes.

Team Culture & Values

• Clarity, we simplify complexity. Our goal is to make data understandable and actionable for everyone.
• Collaboration, We work across teams and disciplines, building strong relationships and sharing knowledge freely.
• Impact, Every analysis we do is aimed at solving real problems and making a measurable difference.
• Curiosity We ask questions, challenge assumptions, and continuously seek better ways to do things.

You’ll Be a Great Fit If You:

• Are never satisfied with the status quo and love solving problems.
• Can turn messy data into meaningful stories.
• Are self-driven and ,take ownership of your work.
• Communicate clearly and confidently with diverse stakeholders.
• Have a growth mindset and enjoy learning.
• Thrive in a fast-paced, collaborative environment

Qualifications & Experience

• Minimum Qualification: BSc in Mathematics, Statistics, Actuarial Science, or related field.
• Experience: 3–5 years in a data science or analytical role, with a focus on operational/process analysis and stakeholder engagement.
• Tools & Skills: Intermediate to advanced skills in SAS and Power BI
• Proven experience in statistical methods and Data storytelling.

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank actively supports the recruitment and advancement of people with disabilities. We encourage that candidates voluntarily declare their disability and consult the Bank should they require reasonable accommodation.

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Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

20/09/25

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.