Lead Operations Research Data Scientist

Key Skills

Aartificial intelligence, Data science techniques, Employee life cycle, IT, Operations, 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.