Remote Lead Data Scientist - Insurance Analytics
Remote / Online - Candidates ideally in
Southampton, Hampshire County, SO15, England, UK
Listed on 2026-09-21
Southampton, Hampshire County, SO15, England, UK
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-09-21
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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.
- 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.
- 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.
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