Data Scientist - Cohort Modeling

Reposted 7 Days Ago
5 Locations
In-Office
124K-180K Annually
Senior level
Insurance
The Role
The role involves building predictive cohort models, analyzing data to drive business insight, collaborating with teams, and mentoring junior analysts.
Summary Generated by Built In
  • Build predictive models and analytic solutions, including cohort models, with minimal supervision to support underwriting and marketing functions within Chubb
  • Assist in brainstorming potential data sources that may contain predictive variables for cohort analysis. Identify, acquire, evaluate, and document data from various internal and external sources
  • Collaborate in extracting and manipulating data using data management tools, focusing on cohort segmentation and tracking from internal and external sources
  • Understand and combine data from multiple sources to create analytics data sets, including cohort-based datasets. Develop a strong working knowledge of how current systems and data sources are populated and sourced.
  • Analyze data, draw meaningful conclusions, and assist in developing cohort-based solutions to help drive profitability and/or growth.
  • Introduce novel methodologies, algorithms, tools, and technologies—including cohort modeling techniques—to solve assigned problems.
  • Communicate and present findings, including cohort insights, to business partners to ensure successful integration of projects into business processes. Proactively follow up on any issues raised during presentations.
  • Participate in developing solutions to implement models, including cohort models, into production. Work with IT in the design and testing of models.
  • Support business requests requiring statistical analysis, including cohort segmentation and performance tracking.
  • May lead a small team of direct reports (1-2 analysts): create goals, oversee projects on a regular basis, and provide timely feedback.
  • Provide training, guidance, and assistance to colleagues on cohort modeling and related analytics techniques.
  • Collaborate with other analytics teams (e.g., Applied AI, Emerging Risks) to achieve objectives, including cohort-based analyses.
  • Build partnerships with key counterparts to advance cohort modeling initiatives.
  • Monitor the performance and usage of models, including cohort models. Ensure that reports suit the needs of the audience.
  • Create and maintain clear and concise documentation associated with models, including cohort modeling processes and outcomes.
Qualifications
  • Minimum of a Bachelor’s Degree, preferably in Statistics, Mathematics, Analytics, or Computer Science. Advanced degree in Statistics or Predictive Analytics is strongly preferred.
  • 5+ years of predictive analytics experience, preferably in the insurance industry, with demonstrated experience in cohort modeling.
  • Understanding of business challenges; ability to design analytical solutions using advanced modeling techniques, including cohort modeling, and synthesize insights for business decision-making.
  • Intermediate knowledge in statistical analysis and multivariate procedures. Knowledge of Machine Learning techniques, AI, and cohort modeling is a plus.
  • Able to complete analytical tasks independently with some guidance, if necessary.
  • Strong organizational skills; able to work well under deadlines in a changing environment and perform multiple tasks effectively and concurrently. Produces accurate work products in a timely manner.
  • Ability and desire to work in a fast-paced, team-oriented environment.
  • Business experience and knowledge of P&C industry is a plus.
  • Experience with statistical packages (Python, R) and/or data management (SQL) and/or programming is required. Experience with GitHub, Databricks, and cohort modeling libraries is a plus.
  • Experience with text analytics, including NLP, is a plus.
  • Experience with writing gen AI prompts is a plus.
  • Proficient in Microsoft Suite applications.
  • Excellent oral and written communication skills. Ability to articulate an understanding of their work products, including cohort modeling results.

The pay range for the role is $124,000 to $180,000. 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. 

About Us
Chubb is a world leader in insurance. With operations in 54 countries, 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Skills Required

  • Minimum of a Bachelor's Degree in Statistics, Mathematics, Analytics, or Computer Science
  • 5+ years of predictive analytics experience
  • Understanding of business challenges; design analytical solutions using modeling techniques
  • Intermediate knowledge in statistical analysis and multivariate procedures
  • Experience with statistical packages (Python, R) and data management (SQL)
  • Excellent oral and written communication skills
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The Company
HQ: Zürich
27,791 Employees

What We Do

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. Additional information can be found at: chubb.com.

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