Hybrid Data Scientist - Insurance & Banking Analytics

BigTalent; Johannesburg; Hybrid; ZAR 600,000 - 1,200,000; Full time

Job summary

BigTalent is seeking a skilled Data Scientist to join our hybrid team in Johannesburg. The role focuses on building advanced data models for banking and insurance, using Python and SQL to drive data-driven decisions. You will translate complex findings into business recommendations for senior stakeholders.

You'll collaborate with cross-functional teams and present insights through clear PowerPoint presentations, shaping pricing models and predictive analytics for financial services.

Qualifications

• Requires degree in Computer Science or Actuarial Science.
• Level: intermediate (3-5 years) and senior (4+ years) technical specialist.
• Demonstrated expertise in price modeling, GLM, and CatBoost ML.

Responsibilities

• Develop and implement advanced data models for banking and insurance applications.
• Construct and optimize pricing models for insurance products.
• Utilize GLM and CatBoost for predictive analysis.
• Collaborate with cross-functional teams to gather and interpret data requirements.
• Translate complex findings into actionable business recommendations.
• Construct and present insightful PowerPoint presentations to stakeholders.
• Confidently engage with and present findings to senior stakeholders.

Skills

Python

SQL

GLM

CatBoost

Education

Computer Science

Actuarial Science

Tools

PowerPoint

Job description

BigTalent is seeking a skilled Data Scientist to join our hybrid team in Johannesburg. The role focuses on building advanced data models for banking and insurance, using Python and SQL to drive data-driven decisions. You will translate complex findings into business recommendations for senior stakeholders.

You'll collaborate with cross-functional teams and present insights through clear PowerPoint presentations, shaping pricing models and predictive analytics for financial services.