Remote Senior Data Scientist - Insurance Analytics & ML

Placements24; Bloemfontein; Hybrid; ZAR 1,482,000 - 2,470,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Medical and dental coverage

Retirement plan

Professional development budget

Job summary

Placements24 is seeking a Senior Data Scientist to lead advanced analytics for insurance applications in a fully remote role. You will design, implement, and deploy predictive models, collaborate with cross-functional teams, and mentor junior data scientists in a global, remote-first environment.

The role emphasizes statistics, ML, and data-driven decision making, with opportunities for professional development and impact on pricing, segmentation, and fraud detection.

Qualifications

• Master's or PhD in a quantitative field with 5+ years of data science experience in insurance/finance.
• Proficient in Python or R with scikit-learn, TensorFlow, PyTorch, and Pandas.
• Strong SQL skills and experience with large-scale databases and data warehousing.

Responsibilities

• Develop, test, and deploy predictive models for insurance applications.
• Analyze large datasets to extract actionable insights and trends.
• Design and run A/B tests to evaluate model performance.
• Collaborate with stakeholders to define analytical problems and deliver data-driven solutions.
• Present findings to senior leadership and mentor junior data scientists.

Skills

Python

R programming

scikit-learn

TensorFlow

PyTorch

Pandas

SQL

Big data

Experiment design

Education

Master's or PhD in CS/Stats/Math/Data Science

Tools

Spark

Hadoop

Data warehousing

Job description

Placements24 is seeking a Senior Data Scientist to lead advanced analytics for insurance applications in a fully remote role. You will design, implement, and deploy predictive models, collaborate with cross-functional teams, and mentor junior data scientists in a global, remote-first environment.

The role emphasizes statistics, ML, and data-driven decision making, with opportunities for professional development and impact on pricing, segmentation, and fraud detection.