Lead Operations Research Data Scientist

Key Skills

Analytical and Problem solving, Data Analysis, Data science techniques, Design, IT, Leadership Skill, Operations, Optimization, Python Programming, R Programming, SQL

Job Description

Job Responsibilities:

• Develop and implement optimization models to improve business performance and operational efficiencies in the insurance industry

• Analyze large volumes of data and provide insights to make data-driven decisions for use in insurance risk profiling, claims management and other key problem areas

• Collaborate with cross-functional teams including actuaries, underwriters, and IT to design, develop, and integrate optimization solutions

• Lead the end-to-end data science lifecycle from problem definition to model implementation

• Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs

• Mentor and train junior data scientists to develop analytical skills in the team

• Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to stay ahead of the competition

Qualifications

• 10+ years of experience in the OR field with a strong understanding of the mathematical underpinning of optimization algorithms

• Advanced degree (Master’s or Ph.D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields

• Expertise in mathematical modeling, optimization, and simulation techniques

• Experience in deploying OR solutions in the cloud environment

• Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving

• Proficiency in programming languages such as Python, R, and SQL

• Strong understanding of descriptive statistics and exploratory data analysis techniques

• Excellent problem-solving and analytical skills with the ability to work with complex datasets

• Strong communication and collaboration skills to work effectively with different stakeholders and cross-functional teams

• Experience in leading end-to-end data science lifecycle from problem definition to model implementation

• Track record of successfully delivering impactful optimization projects in the insurance/finance/retail industries

• Ability to mentor and train junior data scientists to develop analytical skills in the team

• Self-driven with a passion for staying up-to-date with the latest OR and AI techniques and exploring innovative solutions to stay ahead of the competition.

The pay range for the role is $102,000 to $168,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.