Operational Research Data Scientist

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
• Participate in 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
• Stay up-to-date with the latest OR and AI techniques and explore innovative solutions to drive impactful optimization results

Qualifications

• 3+ years of experience in the OR field with a strong understanding of mathematical modeling, optimization, and simulation techniques
• Bachelor’s degree in Industrial Engineering, Operations Research, Applied Mathematics, or related fields with advanced degree preferred
• Experience in deploying OR solutions in the cloud environment
• Familiarity 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
• Basic understanding of descriptive statistics and exploratory data analysis techniques
• Strong 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
• Self-driven with an eagerness to learn and apply the latest OR and AI techniques to solve complex business problems