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Lead Operational Research Data Scientist

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Chubb

3mo ago

Applications are closed

  • Job
    Full-time
    Expert / Leadership (9+ years)
  • Toronto

Requirements

  • 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

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

FAQs

What is the main objective of the Lead Operational Research Data Scientist role at Chubb?

The main objective of the Lead Operational Research Data Scientist role at Chubb is to lead optimization efforts for new initiatives by leveraging advanced operational research techniques and AI technologies to solve core insurance problems dynamically.

What kind of experience is required for this position?

The position requires 10+ years of experience in the operational research field, with a strong understanding of the mathematical underpinning of optimization algorithms, and a proven track record of delivering impactful optimization solutions.

What educational qualifications are preferred for candidates applying for this role?

Candidates applying for this role should possess an advanced degree (Master’s or Ph.D.) in Industrial Engineering, Operations Research, Applied Mathematics, or related fields.

What specific technical skills should candidates have?

Candidates should have expertise in mathematical modeling, optimization, and simulation techniques, as well as experience with AI algorithms, predictive modeling, and machine learning techniques. Proficiency in programming languages such as Python, R, and SQL is also required.

What responsibilities will the Lead Operational Research Data Scientist have?

Responsibilities include developing and implementing optimization models, analyzing large data volumes for insights, collaborating with cross-functional teams, leading the end-to-end data science lifecycle, using AI for dynamic optimization models, mentoring junior data scientists, and staying updated with the latest OR and AI techniques.

Will the Lead Operational Research Data Scientist be involved in mentoring?

Yes, the Lead Operational Research Data Scientist will mentor and train junior data scientists to help develop their analytical skills within the team.

How does Chubb support inclusivity and equal opportunities in the hiring process?

Chubb is committed to providing equal employment opportunities to all employees and applicants based on job-related qualifications. The company offers accommodations during the hiring process for individuals with accessibility needs and consults with applicants to ensure suitable provisions are made.

What industries should candidates have experience in for this role?

Candidates should ideally have a track record of successfully delivering impactful optimization projects in the insurance, finance, or retail industries.

What is the importance of staying current with the latest techniques in this role?

Staying up-to-date with the latest operational research and AI techniques is important to explore innovative solutions that keep the company competitive in the market.

Chubb

The world's largest publicly traded property and casualty insurance company

Finance
Industry
10,001+
Employees
1882
Founded Year

Mission & Purpose

Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide.