Remote Lead Data Scientist - Insurance Analytics

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

About the Role

Our client is seeking a highly accomplished Lead Data Scientist to spearhead their insurance analytics initiatives. This is a fully remote position, allowing you to leverage your expertise from anywhere. You will lead a team of data scientists in developing advanced analytical models to drive strategic decisions in areas such as risk assessment, pricing, fraud detection, and customer segmentation. The ideal candidate is a seasoned professional with a passion for leveraging data to solve complex business problems and a proven ability to mentor and guide a high-performing data science team.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated machine learning and statistical models for insurance applications.
• Mentor and manage a team of data scientists, providing technical guidance and fostering professional development.
• Collaborate with business stakeholders to identify key analytical challenges and opportunities.
• Develop and implement data-driven strategies to optimize underwriting, claims management, and customer engagement.
• Ensure the quality, reliability, and scalability of analytical solutions.
• Stay abreast of the latest advancements in data science and machine learning, applying them to relevant business problems.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of experience in data science, with a strong focus on insurance analytics or a related financial services domain.
• Proven leadership experience managing and mentoring data science teams.
• Expertise in machine learning algorithms, statistical modeling, and predictive analytics.
• Proficiency in programming languages like Python or R, and experience with SQL and big data technologies.
• Excellent communication and presentation skills, with the ability to translate complex technical concepts for non-technical audiences.

Benefits

• Exceptional salary and bonus structure reflecting the senior leadership role.
• Full remote work flexibility, with no need to travel to Randburg.
• Generous benefits package including comprehensive health insurance and retirement contributions.
• Significant opportunities for career advancement and impact within the organization.
• Access to cutting-edge technology and a collaborative, intellectually stimulating environment.