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Actuary Data Science Jobs (NOW HIRING)

Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field. Strong Python and SQL skills; experience with Git and cloud ML environments. Ability to ...

Work with analytics, data science, and other actuarial teams to develop predictive modeling capabilities and establish a rigorous model refresh process. * Collaborate with reinsurance pricing teams ...

Graduate degree in Statistics, Mathematics, Data Science, Actuarial Science, or related quantitative field and 2+ years of experience in a data science or analytical role OR 4+ years of progressive ...

Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field. Strong Python and SQL skills; experience with Git and cloud ML environments. Ability to ...

Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field. Strong Python and SQL skills; experience with Git and cloud ML environments. Ability to ...

Pricing Actuary

Kansas City, MO · On-site

$90K - $150K/yr

Conduct sophisticated analysis using actuarial and data science techniques to improve portfolio profitability. * Partner closely with Reserving, Underwriting, Finance, and Claims teams to drive ...

Advanced degree in data science, actuarial science, statistics, mathematics, or related field. * Deep professional experience in insurance, including modeling, pricing, and actuarial analysis.

Pricing Actuary - Casualty

New York, NY · On-site +1

$160K - $215K/yr

We are seeking an energetic, creative, and self-motivated Actuary that has a passion for advancing actuarial science with data and analytics. The base salary expectation for this role is between $160 ...

Would you like to apply advanced actuarial science and machine learning to build predictive models ... Our insurance risk solutions help drive better data-driven decisions across the insurance policy ...

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Actuary Data Science information

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$46K

$165K

$243.5K

How much do actuary data science jobs pay per year?

As of Jun 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?

Generally, data scientists tend to have higher average salaries than actuaries due to the demand for advanced analytics and machine learning skills. Actuaries typically earn competitive salaries, especially with professional certifications like the ASA or FSA, but data scientists often command higher compensation, particularly in tech-focused industries. Salary differences can vary based on experience, location, and industry.

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.

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 actuaries range from $70,000 to $150,000, with higher earnings possible through bonuses and profit sharing.

Can you make 300K as an actuary?

Actuary data science roles with seniority, specialized skills, and experience in high-demand industries can reach or exceed a $300,000 annual salary. Achieving this level often requires advanced certifications like the ASA or FSA, strong analytical skills, and experience with data analysis tools such as R or Python. Salary ranges vary by location, employer, and individual expertise.

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.

Can a data scientist work as an actuary?

A data scientist can transition to an actuary role since both professions involve statistical analysis and data modeling. However, becoming an actuary typically requires passing professional exams and gaining knowledge of insurance and risk management principles. Skills in programming, statistical tools, and data analysis are common to both roles, facilitating the transition with additional certification efforts.
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:

Data Science, Computer Science, and Mathematics and Statistics Faculty

Science Faculty Jobs

Grand Rapids, MI • On-site

Full-time

Posted 10 days ago


Job description

Job Description
Calvin University invites applications for up to three tenure-track faculty positions, one designated for the Data Science Programs, one for the Department of Computer Science, and one for the Department of Mathematics and Statistics. Each of these positions will begin August 2024. Candidates at all levels of experience will be considered. Successful data science candidates could join either the Department of Computer Science or the Department of Mathematics and Statistics, depending on their background and interests.
REQUIREMENTS
The university seeks applicants with vibrant Christian faith who are dedicated to integration of that faith with their field of study.
Ideal candidates will hold a PhD in data science, computer science, statistics, mathematics, or a related field. Candidates with a master's degree and five years of relevant experience will also be considered.
We are looking for candidates who can provide excellent instruction and have an active stream of relevant research and publication. Preference will be given to candidates with experience teaching using a variety of methods and instructional technology.
The university will prioritize candidates with broad interdisciplinary interests, demonstrated commitment to diversity, equity, and inclusion, ability to integrate questions of meaning, significance, and ethics into all course content, and deep commitment to engaging students beyond the classroom.
FACULTY RESPONSIBILITIES
Faculty loads are 24 semester hours per academic year, comprised of teaching and release time for research and other duties.
Faculty are expected to grow in Reformed Christian commitment, to pursue an active scholarly agenda, to teach effectively, and to serve the university, department, students, and the wider community. Candidates will be asked to affirm their commitment to the educational mission of Calvin University as a Christian liberal arts university in the Reformed tradition, affiliated with the Christian Reformed Church. (See Educating for Shalom and Faculty Expectations.) Calvin University provides numerous faculty development opportunities to foster growth in these commitments.
FACULTY RESOURCES
Calvin University stands at the forefront of Christian scholarship across disciplines. The University hosts a number of Centers and Institutes and provides other funding opportunities to support faculty teaching and research, including sabbaticals, grants, course releases, summer research stipends, travel funds, and student research opportunities.
ABOUT THE DEPARTMENTS
The Data Science Program is a joint effort of the Department of Computer Science and the Department of Mathematics and Statistics. The undergraduate major includes courses in programming, statistics, machine learning, visualization, ethics, and various electives. The program also includes two undergraduate minors, a new online MS program is being launched Fall 2023, and courses co-taught with the School of Business. For details about these programs, see the web pages for Data Science and for the new MS program. We seek faculty who are interested in shaping both the undergraduate and graduate programs.
The Department of Computer Science includes six tenure-track faculty members and a full-time systems engineer to support classes and research in the department. Computer Science especially seeks candidates in machine learning or programming languages, but candidates in all fields are encouraged to apply. The department offers a minor and two majors, including a BCS degree accredited by ABET. For details, see the web page for Computer Science.
The Department of Mathematics and Statistics includes ten tenure-track faculty in pure and applied mathematics, statistics, and mathematics education and offers majors in mathematics, statistics, and actuarial science. In addition, the department supports and advises secondary mathematics education students as they complete grades 5-9 and grades 7-12 certification programs. For additional information consult the Mathematics and Statistics web site. Applications in any area of mathematics or statistics are welcome; preference will be given to applicants with experience and interests that support the programs in statistics and actuarial science.
Together these departments feature supportive colleagues, excellent facilities, disciplined students, including many international students, support for women in STEM, and strong undergraduate majors. Faculty offices for the two departments are co-located, fostering collaboration and communication between the two departments.
ABOUT CALVIN UNIVERSITY
Calvin University is a top-ranked national university that equips students to think deeply, to act justly, and to live wholeheartedly as Christ's agents of renewal in the world. Approximately 3,000 Calvin students study the liberal arts and select from a broad range of majors and professional programs.
The university is located in Grand Rapids, Michigan, in a thriving metropolitan region of approximately one million people situated equidistant from Chicago and Detroit. Furthermore, the West Michigan region is ranked by Forbes as the #1 place to raise a family. For more information, please visit http://www.calvin.edu/go/facultyopenings.
Calvin is building a tradition of diversity and accessibility and welcomes applications from persons whose personal characteristics will further that commitment. Calvin does not discriminate in the employment of individuals on the basis of race, color, national or ethnic origin, disability, sex, or age. Calvin University is an educational agency of the Christian Reformed Church and, in compliance with Title VII and other applicable law, reserves the right to give preference in employment based upon religion.
TO APPLY
Complete the online application process and attach the following:
  • Letter of application that addresses the requirements and responsibilities of the position, including your interest in teaching and scholarship at a Reformed Christian University
  • Full curriculum vitae

Review of applications will begin immediately and will continue until the position is filled.
Questions can be sent to
  • Randall Pruim, department chair of the Mathematics and Statistics Department, rpruim@calvin.edu, or
  • Keith Vander Linden, department chair of the Computer Science Department, kvlinden@calvin.edu.

FAITH and EDUCATIONAL COMMITMENT
1. Commitment to the educational mission of Calvin as a Christian liberal arts university affiliated with the Christian Reformed Church.
2. A commitment to the Christian faith and to the integration of faith, learning, and student development.
DIVERSITY COMMITMENT
Demonstrated awareness and commitment to effectively establishing relationships and positive communication across multiple dimensions of diversity including, but not limited to, race, gender, physical limitations, class, or religious perspectives.
Skills Required
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More Details
Employment Type: Full Time Location: Grand Rapids , MI , United States Experience Required: Mid-Senior Level Date Published: 18 Sep 2023