Data Scientist

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

If you are a skilled and experienced Data Scientist who thrives in the dynamic environments of banking and insurance, possesses advanced technical skills in Python and SQL, and can effectively communicate complex findings to business stakeholders, we invite you to apply. Join this large direct insurance company,and contribute to shaping the future of data-driven decision-making in the financial industry.

Requirements:

Qualifications: Computer Science or Actuarial Science

Level: We are looking for intermediate (3 - 5 years) and senior technical specialist levels (4 years+)

Some demonstrated expertise in one or all of these techniques:

• Insurance Pricing Models
• Generalised Linear Regression Models
• Machine Learning CAT Boost Models

Duties and Responsibilities:

• Develop and implement advanced data models for insurance and banking applications
• Construct and optimize pricing models for insurance products
• Utilize Generalised Linear Regression and Machine Learning CAT Boost Models 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
• Confidently engage with and present findings to senior stakeholders

Work Model:Hybrid

Location: Johannesburg