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Actuary Data Science Jobs (NOW HIRING)

Berkley

Actuary/Data Scientist

Greenwich, CT

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in actuarial, data engineering, and other modeling organizations to deliver ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in actuarial, data engineering, and other modeling organizations to deliver ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in actuarial, data engineering, and other modeling organizations to deliver ...

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Actuary Data Science information

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How much do actuary data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for actuary data science 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.

Who makes more money, an actuary or a data scientist?

Data scientists generally have higher median salaries than actuaries, especially in industries like technology and finance where advanced analytics and programming skills are valued. Actuaries tend to earn competitive salaries with a focus on risk assessment and require professional certifications like the ASA or FSA, but data scientists often have higher earning potential due to their expertise in machine learning, big data tools, and programming languages such as Python or R.

What are the key skills and qualifications needed to thrive in the Actuary Data Science position, and why are they important?

To thrive as an Actuary Data Science professional, you need strong quantitative skills, knowledge of actuarial principles, proficiency in statistics, and usually a degree in mathematics, actuarial science, or a related field. Familiarity with statistical and data analysis tools such as R, Python, SAS, and experience with actuarial software or relevant certifications (such as ASA or CERA) are highly valued. Excellent problem-solving, communication, and teamwork skills help you translate complex data insights into actionable business recommendations. These skills and qualifications are vital for delivering accurate risk assessments and optimizing decision-making in insurance, finance, or related industries.

What is an Actuary Data Science job?

An Actuary Data Science job combines actuarial expertise with data science techniques to analyze risk, build predictive models, and support decision-making in insurance, finance, and other industries. Professionals in this role use statistical methods, machine learning, and programming to enhance traditional actuarial processes. They work with large datasets to identify trends, optimize pricing, and improve risk assessments. This role requires strong analytical skills, proficiency in tools like Python or R, and knowledge of actuarial principles. It bridges the gap between actuarial science and advanced data analytics to drive data-driven business strategies.

Will AI replace actuary?

AI is transforming the actuarial field by automating data analysis and modeling tasks, but actuaries are needed to interpret results, develop models, and make strategic decisions. While AI can handle routine calculations, the profession still relies on human judgment, communication skills, and domain expertise. Actuaries who develop skills in data science, programming, and AI tools will remain valuable in the evolving job market.

Do actuaries make $500,000?

Actuary data science roles can reach salaries of $500,000 or more at senior levels or in specialized industries, such as insurance or consulting, especially with extensive experience, advanced certifications like the ASA or FSA, and leadership responsibilities. However, typical salaries for most actuary data science positions are lower, often ranging from $100,000 to $200,000 annually for mid-career professionals.

Can you make 300k as an actuary?

Actuary data science roles with advanced skills, experience, and certifications such as ASA or FSA can reach or exceed a $300,000 salary, especially in senior or specialized positions. Salary levels depend on industry, location, and individual expertise, with some roles in consulting or leadership exceeding this amount.

What are the typical daily tasks and team interactions for someone in an Actuary Data Science role?

In an Actuary Data Science role, your daily responsibilities often involve analyzing large datasets to identify patterns and trends, building predictive models to assess risk, and preparing detailed reports for stakeholders. You may collaborate closely with actuaries, data scientists, underwriters, and business analysts to integrate statistical findings into strategic business decisions. Regular meetings and presentations are common, as you’ll need to communicate your insights to both technical and non-technical team members. The role offers dynamic and intellectually engaging work, with ample opportunities for learning and cross-functional teamwork.

More about Actuary Data Science jobs
What are the most commonly searched types of Actuary Data Science jobs? The most popular types of Actuary Data Science jobs are:
What states have the most Actuary Data Science jobs? States with the most job openings for Actuary Data Science jobs include:
What job categories do people searching Actuary Data Science jobs look for? The top searched job categories for Actuary Data Science jobs are:
Actuary Data Science jobs near you
Infographic showing various Actuary Data Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 45% As Needed, 6% Full Time, 28% Temporary, 19% Nights, and 1% Summer. Highlights an 73% Physical, 7% Hybrid, and 20% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Actuary/Data Scientist

Actuary/Data Scientist

Berkley

Greenwich, CT

Other

Re-posted 5 days 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 RequirementsLocation and Travel: Primary location Greenwich, CT.Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

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