Actuary/Data Scientist

Greenwich, CT

Open 6 months, first seen by us 207 days ago

Pay: Pay amount needs review — pay source
Additional Company Details Salary Range - $107K to $170K, dependent on experience, knowledge, and education. Berkley is committed to offering comprehensive and competitive employee health benefits that help our employees stay healthy, feel secure and maintain a work/life balance. We offer Medical, Dental, Vision, Flexible Spending Account, Health Savings Account and a Health Reimbursement Arrangement. We support our employees in planning for their current and future security by offering Short & Long Term Disability, 401(k)/Profit Sharing/Employee Stock Purchase Plan, Life/Accidental Death & Dismemberment/Travel and Additional Life Insurance. We want our employees to live productive and fulfilling lives. We promote work-life balance and personal wellness by providing an Employee Assistance Program, Paid Time Off (Vacation/Sick/Holidays) and encouraging employees to participate in our groups wellness program. We take risk management excellence and your professional growth and ongoing development seriously by offering industry-related education and exams along with industry-related tuition assistance. Additional Requirements Location and Travel: • Primary location Greenwich, CT. Sponsorship Details
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Work setting: Not stated
Employment: Not stated

Before you apply

Work authorization: Must already have the right to workSponsorship not Offered for this Role

What you’ll work on

Full posting

Write production-quality Python code for data wrangling, modeling and AI-assisted workflows
Run deep exploratory analysis to find problems, trends and drivers
Develop and maintain models on data pipelines built by data engineers
Design machine learning tools, including LLM use and task-specific agents
Validate results with professional skepticism and alternate approaches

From the employer’s posting

Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows.

Perform deep exploratory analysis to identify problems, trends, and drivers.

Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models

Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.

Apply professional skepticism and alternate approaches to thoroughly validate results.

What you’ll bring

All qualifications

Core experience

Master's degree in Data Science preferred.• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Qualification wording

Master's degree in Data Science preferred.• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Education & alternatives

Education Requirement • Master's degree in Data Science preferred.• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent). Additional Company Details

Apply at Berkley

Posting record

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Open 6 monthsWe first saw this posting 207 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: Apr 11, 2026207 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 207

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.

Berkley is hiring

7 open jobs

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

Hiring at a steady pace
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Databricks
Snowflake

Where the posting names them

Qualifications: • 4–7 years of relevant actuarial, technical, or research experience.• Strong programming skills, particularly in Python, including analytical and modeling libraries.• Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows).• Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions.• Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms). Education Requirement

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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 Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.

The Company is an equal employment opportunity employer.

Responsibilities

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data pipelines and advanced modeling, emphasizing rigorous quantitative thinking, high quality code, and sound professional judgment. This role will challenge the status quo, apply modern data science and AI approaches, and translate complex analyses into clear, actionable insights.

• Write production-quality code for data wrangling, modeling, and AI-assisted analytical workflows.• Perform deep exploratory analysis to identify problems, trends, and drivers.• Work with data platforms and pipelines designed by data engineers to develop, enhance, and maintain models, focusing on analytical correctness and model integrity.• Design and apply machine learning tools, including accessing large language models (LLMs) or building task-specific agents.• Apply professional skepticism and alternate approaches to thoroughly validate results.• Communicate results effectively to actuarial peers, management, and non-technical audiences.• Understand the different data types and uses of data within an insurance organization.• Provide support and guidance to others who are at earlier stages in their data science or AI journey.

Qualifications

Qualifications:

• 4–7 years of relevant actuarial, technical, or research experience.• Strong programming skills, particularly in Python, including analytical and modeling libraries.• Experience applying AI, machine learning, or LLM-based tools to solve real data or analytical problems (e.g., building agents, calling model APIs, or integrating AI into analytical workflows).• Proficient in probability and statistics, with experience working with large and complex data flows and articulating project plans and conclusions.• Proficient with SQL and cloud-based or distributed data environments (e.g., Snowflake, Databricks, or similar platforms).

Education Requirement

• Master's degree in Data Science preferred.• Progress toward CAS credentials (ACAS or nearly/newly FCAS or international equivalent).

Additional Company Details

Salary Range - $107K to $170K, dependent on experience, knowledge, and education. Berkley is committed to offering comprehensive and competitive employee health benefits that help our employees stay healthy, feel secure and maintain a work/life balance. We offer Medical, Dental, Vision, Flexible Spending Account, Health Savings Account and a Health Reimbursement Arrangement. We support our employees in planning for their current and future security by offering Short & Long Term Disability, 401(k)/Profit Sharing/Employee Stock Purchase Plan, Life/Accidental Death & Dismemberment/Travel and Additional Life Insurance. We want our employees to live productive and fulfilling lives. We promote work-life balance and personal wellness by providing an Employee Assistance Program, Paid Time Off (Vacation/Sick/Holidays) and encouraging employees to participate in our groups wellness program. We take risk management excellence and your professional growth and ongoing development seriously by offering industry-related education and exams along with industry-related tuition assistance.

Additional Requirements

Location and Travel: • Primary location Greenwich, CT.

Sponsorship Details

Sponsorship not Offered for this Role

Source details