ZipRecruiter

Log In

1

Actuary Data Science Jobs (NOW HIRING)

Pacificlife

Senior Actuary (FSA) - Data Steward

Charlotte, NC · On-site

$65.75 - $88/hr

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

Lincoln Financial

Director, Data Science

Charlotte, NC · Hybrid

Preferred Insurance industry experience - in actuarial science, business intelligence and reporting, data science, or a closely related analytical discipline. Master's, Ph.D. or Other Credentials in ...

Pacificlife

Senior Actuary (FSA) - Data Steward

Omaha, NE · On-site

$64.25 - $86/hr

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

next page

Showing results 1-20

All JobsActuary Data Science Jobs

Actuary Data Science information

See salary details

$46K

$165K

$243.5K

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.

Senior Actuary (FSA) - Data Steward

Pacificlife

Charlotte, NC • On-site

$65.75 - $88/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Job Description:

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own.
We're actively seeking a talented Senior Actuary (FSA) to join our Data Steward team in Charlotte, NC, Newport Beach, CA or Omaha, NE. This role follows a hybrid schedule of four days in the office (on-site). If you are not currently located near one of our offices, you will be required to relocate.

While construction is underway for our new Charlotte location, we are opening an interim location in early 2026, less than a mile from the Queensbridge Collective. This interim location will support our growing team through 2028, offering the resources and flexibility needed to build momentum as we establish our presence in the region.

Pacific Life is seeking a Senior Actuary (FSA) to support and elevate our actuarial data governance, model integration, and endtoend data processes across multiple product lines. In this highly collaborative and datacentric role, you'll work closely with the Actuarial and Data/IT teams to strengthen the consistency, quality, and strategic use of actuarial data throughout the enterprise.

If you're motivated by improving data reliability, enhancing modeling workflows, and serving as a key bridge between business needs and actuarial systems, this role offers a meaningful opportunity to shape how data drives outcomes.


How you'll help move us forward:

Data Coordination & Integration
  • Coordinate prioritization and delivery of data changes across actuarial, IT, and business teams.

  • Support integration of new or updated data sources into Prophet and other actuarial systems.

  • Ensure Prophet tables and actuarial data structures remain aligned, consistent, and optimized across product lines.

  • Work with business partners to understand how data movements impact results, providing clarity, analysis, and direction.

  • Collaborate with business stakeholders to understand actuarial model requirements, ensuring data is structured appropriately to meet modeling needs.

Support & Implementation

  • Assist in onboarding new products into production data pipelines and actuarial systems.

  • Support assumption updates, asset/market scenario inputs, reinsurance changes, and other data updates.

  • Partner with modeling teams to define optimal data approaches for new products that streamline regression testing and accelerate development.

Quality Assurance & Data Governance

  • Develop and apply data validation rules, diagnostic checks, and cleansing routines.

  • Identify future data issues that may impact quarterend reporting by understanding model run structures and policy mapping logic.

  • Implement governance for centralized reference tables to ensure reproducibility and crossteam consistency.

Prophet Data Tables & Data Domains

  • Maintain reference data tables (risk codes, cap rates, product mappings, file name assignments).

  • Understand and manage relationships between data domains and Prophet inputs to ensure accuracy and completeness.

  • Update cohort mapping and Prophet file references for new or revised products.

Process Optimization

  • Identify automation opportunities and areas for process improvement to enhance reliability and efficiency.

  • Mitigate risks caused by new plan codes, new asset types, missing keys, or evolving table structures.

  • Improve the stability and reproducibility of historical model runs and reporting cycles.

Analysis & Insights

  • Conduct exploratory data analyses on both input and output data.

  • Provide insights and decision support to actuarial, finance, and business teams.

  • Assist with reporting enhancements, ad hoc studies, and enterprise analytics initiatives.

Documentation & Training

  • Develop clear and comprehensive documentation for data processes, governance, and workflows.

  • Provide training and support to actuarial and nonactuarial partners to build shared understanding and transparency.

What You'll Bring

  • Actuarial Credentials: FSA

  • Education: Bachelor's in Actuarial Science, Mathematics, Statistics, Computer Science, or related field.

  • Experience:

    • Strong background in data management, governance, data architecture, or actuarial data processes

    • Experience working with actuarial models and data structures

  • Technical Skills:

    • SQL, scripting (Python/R), relational databases, data lakes, and data management platforms

    • Experience with Snowflake, Prophet, or PolySystems is a strong plus

  • Analytical Abilities: Skilled in interpreting complex datasets and diagnosing data issues.

  • Communication: Ability to translate technical details into clear business language.

  • Project Management: Effective at organizing workflows, timelines, and stakeholder alignment.

  • Continuous Learning: Interest in expanding expertise in Prophet data architecture and modern data management approaches.

Base Salary Ranges per Location:

  • Charlotte, NC: $152,370 - $186,230

  • Newport Beach, CA: $167,670 - $204,930

  • Omaha, NE: $144,810 - $176,990

Base Pay Range:

The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.

$167,670.00 - $204,930.00

Your Benefits Start Day 1

Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered.

  • Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents

  • Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off

  • Paid Parental Leave as well as an Adoption Assistance Program

  • Competitive 401k savings plan with company match and an additional contribution regardless of participation

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.

What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife

EEO Statement:

Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Apply