Senior Lead Data Scientist – Insurance Analytics (Remote)

Placements24; Randburg; Hybrid; ZAR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Remote work

Health insurance

Retirement contributions

Job summary

Placements24 is seeking a Lead Data Scientist to spearhead insurance analytics initiatives in a fully remote role. You will mentor a team of data scientists, design advanced models, and partner with stakeholders to drive underwriting, pricing, fraud detection, and customer segmentation.

The ideal candidate has 8+ years in data science with leadership experience, strong Python/R skills, SQL, and big data tools, plus superb communication to present complex results to non-technical audiences.

Qualifications

• 8+ years of data science leadership in insurance or financial services.
• Expertise in ML algorithms, statistical modeling, and predictive analytics.
• Strong mentoring and communication to translate complex concepts.

Responsibilities

• Lead the design, development, and deployment of ML models for insurance applications.
• Mentor and manage a data science team, providing technical guidance and growth.
• Collaborate with stakeholders to identify analytical challenges and opportunities.
• Develop data-driven strategies to optimize underwriting, claims, and customer engagement.
• Ensure the quality, reliability, and scalability of analytical solutions.
• Stay updated on advances in data science and apply them to business problems.

Skills

Team leadership

Data science

Machine learning

Python or R

SQL

Big data

Communication skills

Education

Master's or PhD in a quantitative field

Tools

Python

R

SQL

Hadoop/Spark

Job description

Placements24 is seeking a Lead Data Scientist to spearhead insurance analytics initiatives in a fully remote role. You will mentor a team of data scientists, design advanced models, and partner with stakeholders to drive underwriting, pricing, fraud detection, and customer segmentation.

The ideal candidate has 8+ years in data science with leadership experience, strong Python/R skills, SQL, and big data tools, plus superb communication to present complex results to non-technical audiences.