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Actuarial Data Scientist Jobs (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... Qualifications Qualifications: • 4-7 years of relevant actuarial, technical, or research ...

Talentrupt

Data Scientist

Newark, NJ · On-site

D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines • Working on complex problems in which analysis ...

Core Specialty

Actuarial Data Analyst

Chicago, IL · On-site

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Sprinter Health

Data Scientist, Actuarial

San Francisco, CA · Remote

$160K - $200K/yr

About the Role We're looking for a Data Scientist with an actuarial focus to quantify the long-term economic value of what Sprinter does. When we tell a health plan that finding and treating disease ...

Sprinter Health

Data Scientist, Actuarial

San Francisco, CA · On-site

$160K - $200K/yr

About the Role We're looking for a Data Scientist with an actuarial focus to quantify the long-term economic value of what Sprinter does. When we tell a health plan that finding and treating disease ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Core Specialty

Actuarial Data Analyst

Chicago, IL · Hybrid

$70K - $75K/yr

Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like. * 1-3 years of experience in a professional environment working with data, analytics.

Jobtailor

Senior Actuary - Data Steward

California, MO · On-site

$90 - $130/hr

Bachelor's in Actuarial Science, Mathematics, Statistics, Computer Science, or related field. * Strong background in data management, governance, data architecture, or actuarial data processes.

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How much do actuarial data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for actuarial data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an actuarial data scientist?

As an Actuarial Data Scientist, your daily responsibilities often include analyzing large datasets to identify trends and assess risk, developing and validating predictive models, and preparing detailed reports or visualizations of your findings. You’ll collaborate closely with other data scientists, actuaries, and business stakeholders to translate technical analyses into actionable business strategies. Additionally, you may be involved in automating data processes, researching new statistical methods, or supporting the development of new insurance products. Regular meetings and presentations are also common, ensuring your insights align with organizational goals and customer needs.

What are the key skills and qualifications needed to thrive as an actuarial data scientist?

To thrive as an Actuarial Data Scientist, you need strong analytical abilities, expertise in predictive modeling, and a solid foundation in actuarial or statistical mathematics, usually supported by a degree in actuarial science, statistics, or a related field. Proficiency with programming languages such as Python or R, experience with data analysis tools, and actuarial certifications like ASA or FSA are typically required. Excellent problem-solving, communication, and collaboration skills enable you to translate complex data insights for multiple stakeholders. These skills are crucial to drive informed business decisions and deliver accurate risk assessments in insurance and financial settings.

What is an actuarial data scientist?

An Actuarial Data Scientist combines actuarial expertise with data science techniques to analyze risk, build predictive models, and improve decision-making in insurance, finance, and other industries. They use statistical methods, machine learning, and big data tools to enhance traditional actuarial models. Their work helps companies better assess risks, optimize pricing, and detect fraud. This role requires skills in programming, data analysis, and actuarial principles. Actuarial Data Scientists bridge the gap between traditional actuarial work and modern data science.

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What cities are hiring for Actuarial Data Scientist jobs? Cities with the most Actuarial Data Scientist job openings:
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Actuarial Data Scientist jobs near you
Infographic showing various Actuarial Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Actuary/Data Scientist

Berkley

Greenwich, CT • On-site

Other

Re-posted 12 hours ago

Job description

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 Requirements
Location and Travel:
• Primary location Greenwich, CT.
Sponsorship Details
Sponsorship not Offered for this Role

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