Product Risk Analyst

Recruiter:

Network Recruitment

Job Ref:

NFP015855/LLR

Date posted:

Friday, June 27, 2025

Location:

Johannesburg, South Africa

Salary:

Market related

SUMMARY:

An exciting opportunity is available for a Data Scientist to join a dynamic and forward-thinking analytics team. This role focuses on driving the data science and analytics agenda to deliver substantial value across multiple business areas, including underwriting, claims, sales, and product development.

POSITION INFO:
Data Scientist

Key Responsibilities:

Develop and implement statistical analysis, forecasting, predictive modelling, simulation, and optimisation techniques to identify trends and opportunities.
Evaluate new data sources and enhance data collection procedures to improve analytic capabilities.
Build and communicate data-driven solutions using visualisation techniques.
Design advanced analytics and machine learning models to address business challenges.
Stay current with advancements in analytics technologies and methodologies.
Act as a technical expert in machine learning tools, techniques, and programming languages.
Mentor and coach junior team members.
Present analytical findings and recommendations to stakeholders and management.
Identify and prioritise business problems where analytics can drive measurable improvements.
Collaborate across departments to gather requirements and ensure that relevant data sources are used.
Support the development and maintenance of the analytic infrastructure, including databases, BI tools, and modelling platforms.
Migrate existing on-premise solutions to the cloud and ensure model stability and performance.
Promote data-driven decision-making and build buy-in across the business.

Required Experience and Skills:

4–6 years of relevant experience in analytics or data science.
Proficient in big data analytics, statistical modelling, and programming.
Experience with machine learning models such as classification, regression, anomaly detection, and neural networks.
Strong skills in Python, SQL Server, Power BI, Excel, and PowerPoint; Azure experience is advantageous.
Knowledge of API integration in Python.
Excellent analytical, problem-solving, and communication skills.
Strong project management and stakeholder engagement capabilities.

Educational Requirements:

Matric Certificate.
Degree in Science, Mathematics, Statistics, Engineering, or Computer Science.
Specialised qualification or Degree in Data Science.

Please send your CV to
Should you not hear from us within two weeks please consider your application unsuccessful.

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