Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP016135/MNG

Date posted:

Friday, October 3, 2025

Location:

Johannesburg, South Africa

SUMMARY:

Data Scientist | Insurance & Risk Analytics

Are you driven by the challenge of turning complex data into real business impact? This is your chance to join a market-leading organization in insurance and risk solutions, known for innovation and tailor-made cover across life and non-life portfolios.

POSITION INFO:

We’re looking for a Data Scientist who can blend technical excellence with business insight — someone who can move confidently between actuarial thinking, data modelling, and advanced analytics to deliver strategic value.

What You’ll Do:

Proactively source, analyze, and interpret data from multiple internal and external providers
Build predictive models and apply advanced statistical and machine learning methods
Expand and optimise database structures to store, transform, and manage large datasets
Deliver actionable insights to stakeholders and, where needed, directly to clients
Use tools like Python, SQL, R, and BI platforms to drive decision-making and innovation
Validate and wrangle messy data, ensuring integrity, structure, and auditability
Translate insurance processes into clear business requirements for data solutions
Create visualizations and presentations for both technical and non-technical audiences

What You Bring:

A Bachelor’s degree in Data Science, Actuarial Science, Statistics, Engineering, Mathematics, or Computer Science
3–5 years’ experience in data science, data warehousing, actuarial analytics or modelling
Strong fluency in Python and SQL (R beneficial)
Solid understanding of cloud, web infrastructure, APIs, and version control
Experience in insurance, reinsurance, or related financial services (advantageous)
Exposure to machine learning, predictive modelling, and statistical techniques
Experience with BI tools (e.g. Power BI) and geospatial data analysis
Ability to independently manage projects while collaborating across business areas

Key Strengths:

Critical thinking with a high attention to detail
Ability to navigate messy, multi-source data and make it usable
Strong communication skills: able to engage stakeholders across functions
Comfortable balancing technical depth with business context
Self-motivated, organized, and able to operate in a fast-moving environment

Apply now!

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