Remote Lead Data Scientist - Insurance Analytics

Placements24; Southampton; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Remote work

Health insurance

Retirement plan

Career growth opportunities

Job summary

Placements24 in the United Kingdom is seeking a Lead Data Scientist to spearhead insurance analytics initiatives in a fully remote role. You will lead a team of data scientists, developing advanced models to drive strategic decisions in risk assessment, pricing, fraud detection, and customer segmentation.

The ideal candidate has 8+ years in data science with insurance or financial services experience, proven leadership, and expertise in ML, statistical modeling, and predictive analytics, plus

Qualifications

• Requires Master's or PhD in a quantitative field.
• 8+ years in data science with insurance analytics or financial services.
• Proven leadership in mentoring data science teams.
• Expertise in ML algorithms, statistical modeling, and predictive analytics.
• Proficiency in Python or R, plus SQL and big data tech.
• Excellent communication and presentation skills to non-technical audiences.

Responsibilities

• Lead the design, development, and deployment of ML and statistical models for insurance.
• Mentor and manage a team of data scientists.
• 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 up-to-date with advancements in data science and ML and apply them to business problems.

Skills

Leadership

Machine learning

Statistical modeling

Predictive analytics

Communication

Education

Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field

Tools

Python

R

SQL

Big data technologies

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.