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Senior P&C Data Scientist

Pay
Multiple pay statements — pay source
The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package. Albany & Chicago Pay Range $102,000 - $152,000 Los Angeles & New York City Pay Range $112,000 - $160,000
Albany & Chicago Pay Range $102,000 - $152,000 Los Angeles & New York City Pay Range $112,000 - $160,000 PLEASE NOTE:
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USApplicants must be legally authorized to work in the United States

What you’ll work on

Full posting
  • Develop and maintain frequency, severity, and pure premium pricing models

  • Own end-to-end modeling work from data exploration through monitoring

  • Design validation frameworks to test model performance and stability

  • Put models into pricing and reporting workflows

  • Mentor P&C Data Scientist I and II team members through code reviews

From the employer’s posting
Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium
Own the end‑to‑end analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
Design and execute validation frameworks to assess model performance, stability, and business impact
Drive the implementation of models and analytical outputs into pricing and reporting workflows
Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Experience working with large, complex datasets and applying statistical or machine learning methods to real‑world business problems
  • Proven ability to work independently and own complex analytical models

Preferred experience

  • Familiarity with several predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers
Qualification wording
Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
Experience working with large, complex datasets and applying statistical or machine learning methods to real‑world business problems
Proven ability to work independently and own complex analytical models
Familiarity with several predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting)
Familiarity with regulatory and governance considerations related to pricing and underwriting
Experience implementing and monitoring models in production or business workflows
Experience mentoring and reviewing the work of junior coworkers
Education & alternatives
Required Qualifications - Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field - Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master’s degree may be considered in lieu of one to two years of experience
- Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field - Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master’s degree may be considered in lieu of one to two years of experience - Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)

Posting record

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Open 3 monthsWe first saw this posting 106 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 21, 2026106 days ago
Recorded sightings
178
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 106

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Brookfield Infrastructure is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

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Where the posting names them
Coaching & Continuous Improvement - Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support - Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
Data & Technical Skills - Work independently with large, structured and semi‑structured datasets using SQL and analytical programming languages (e.g., Python or R) - Establish and uphold high standards for data quality, reproducibility, documentation, and version control
- Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master’s degree may be considered in lieu of one to two years of experience - Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) - Experience working with large, complex datasets and applying statistical or machine learning methods to real‑world business problems

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors less‑experienced team members and contributes to the continued maturation of the pricing analytics function.


Key Responsibilities

Pricing & Insurance Analytics

  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution

  • Own the end‑to‑end analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills

  • Work independently with large, structured and semi‑structured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication

  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decision‑making by framing trade‑offs, risks, and opportunities using data‑driven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and cross‑functional leadership

Coaching & Continuous Improvement

  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications

  • Bachelor’s degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master’s degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to real‑world business problems
  • Strong analytical judgment, problem‑solving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications

  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, tree‑based models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level

  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.


Albany & Chicago Pay Range $102,000 - $152,000

Los Angeles & New York City Pay Range $112,000 - $160,000


PLEASE NOTE: 

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.


If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400. 


Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.


Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.


Source details

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Pay
The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package. Albany & Chicago Pay Range $102,000 - $152,000 Los Angeles & New York City Pay Range $112,000 - $160,000
More source context
Albany & Chicago Pay Range $102,000 - $152,000 Los Angeles & New York City Pay Range $112,000 - $160,000 PLEASE NOTE:
Location & working pattern

US NE - Omaha

Working pattern and location restrictions need checking in the full posting.

Work authorization
PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.

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