Remote Insurance Data Scientist - ML & Analytics

Placements24; East London; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Health, dental and vision insurance

Professional development

Job summary

Placements24 is seeking a talented Remote Insurance Data Scientist to join a progressive, fully remote team. You will leverage advanced analytics, machine learning, and statistical modeling to drive insights, improve products, and optimize operations within the insurance domain.

The ideal candidate has a strong data science background, 4+ years in the field, and is comfortable translating complex findings into actionable business strategies from a distributed work environment.

Qualifications

• Master's or PhD in a quantitative field and at least 4 years of data science experience in insurance or financial services.
• Proficiency in Python or R with strong ML library experience (Scikit-learn, TensorFlow, PyTorch) and SQL.
• Experience with big data tech (Spark, Hadoop) and ability to work remotely.

Responsibilities

• Develop and implement statistical models and ML algorithms for insurance data.
• Extract, clean, and transform large, complex datasets.
• Identify trends for pricing, underwriting, fraud detection, and engagement.
• Design and run A/B tests and experiments.
• Build predictive models for churn, risk, and lifetime value.
• Communicate findings to technical and non-technical stakeholders.

Skills

Python

R

Scikit-learn

TensorFlow

PyTorch

SQL

Big data: Spark/Hadoop

Data visualization

Remote work discipline

Education

Master's degree in Data Science/Statistics/CS

PhD in a quantitative field

Tools

Spark

Hadoop

Jupyter

Job description

Placements24 is seeking a talented Remote Insurance Data Scientist to join a progressive, fully remote team. You will leverage advanced analytics, machine learning, and statistical modeling to drive insights, improve products, and optimize operations within the insurance domain.

The ideal candidate has a strong data science background, 4+ years in the field, and is comfortable translating complex findings into actionable business strategies from a distributed work environment.