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Actuary Data Science Jobs (NOW HIRING)

The Jacobson Group

$175K - $200K/yr

They will leverage their understanding of actuarial principles, financial performance drivers, and ... data science, advanced analytics or business intelligence * Strong working knowledge of property ...

Cigna

Data Science Director - Remote

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and ...

Cigna

Data Science Director - Remote

New York, NY · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and ...

Next Insurance

Lead Actuarial Data Scientist

Boston, MA · On-site

ERGO NEXT is looking for an actuarial data scientist to oversee all aspects of technical actuarial modeling, including technical pricing models, actuarial systems and infrastructure. This role will ...

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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.

Actuarial Data Science Analyst (Insurance Hybrid role)

PA Compensation Rating Bureau.

Philadelphia, PA • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

Essential Responsibilities:

  • Responsible for statistical analyses, actuarial and/or research models
  • Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
  • Extract, validate, and analyze data from multiple sources to support research and business initiatives.
  • Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
  • Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements:

Education: Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus.

Experience: 3 to 6 years experience in related field.

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

  • Actuarial background or experience in the property & casualty insurance industry is a plus.

Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.