Senior Actuarial Data Scientist

DW Simpson seeks a Senior Actuarial Data Scientist to lead advanced analytics and modeling projects for insurance and risk-focused clients. In this professional, collaborative environment, you will design and implement predictive models, integrate actuarial techniques with modern data science, and translate complex insights into clear recommendations. You will partner closely with internal stakeholders and external clients, mentor junior analysts, and help shape best practices. This role offers strong growth potential, exposure to top-tier organizations, and the opportunity to deepen your expertise in actuarial and analytics-driven decision making.

Responsibilities

• Lead actuarial and data science projects from scoping through delivery for insurance and risk-focused clients
• Develop, validate, and maintain predictive and actuarial models using modern data science tools
• Analyze complex datasets to generate business insights and quantify risk, pricing, and profitability impacts
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders
• Collaborate with internal teams to refine methodologies, tools, and best practices in analytics
• Mentor and guide junior analysts, providing technical review and career development support
• Ensure data quality, model governance, and compliance with professional and ethical standards

Required Skills

• Actuarial modeling
• Predictive modeling
• Machine learning
• Statistical analysis (R/Python)
• Data wrangling and SQLInsurance and risk domain knowledge
• Experience with large datasets and cloud tools
• Model validation and performance monitoring
• Data visualization and reporting
• Project leadership and stakeholder communication