Remote Insurance Data Scientist — AI-Driven Insights

Placements24; Soweto; Hybrid; ZAR 1,437,000 - 2,395,000; Full time

Benefits offered by this job

Annual bonus

Remote work

State-of-the-art tools & platforms

Health, dental, and vision coverage

Learning and professional growth

Job summary

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to drive data-guided decisions. You will design and deploy predictive models for fraud detection, pricing, and churn, collaborating with actuarial, underwriting, and product teams from a fully remote setup.

You will analyze large insurance datasets, translate business needs into data science solutions, and communicate results to diverse audiences while staying current with ML/AI advancements in insurance.

Qualifications

• Advanced degree (MS or PhD) in Data Science, CS, Statistics or quantitative field.
• Proven experience as a Data Scientist with production models.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and big data technologies.

Responsibilities

• Design, develop, and deploy predictive models and ML algorithms for insurance apps.
• Analyze large, complex datasets to inform business strategy.
• Collaborate with actuarial, underwriting, and product teams to translate needs into solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated on latest data science and AI advancements for insurance context.

Skills

Analytical skills

Problem solving

Communication

Education

MS or PhD in Data Science/Math/CS

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Job description

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to drive data-guided decisions. You will design and deploy predictive models for fraud detection, pricing, and churn, collaborating with actuarial, underwriting, and product teams from a fully remote setup.

You will analyze large insurance datasets, translate business needs into data science solutions, and communicate results to diverse audiences while staying current with ML/AI advancements in insurance.