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Statistics R Python Sql Actuarial Jobs (NOW HIRING)

Westfield

Actuarial Analyst

Chicago, IL

... with coding in SQL, VBA, or R/Python * Experience with statistical modeling and predictive ... competitive Actuarial Study Program to support and reward you as you complete the Casualty ...

Westfield

Actuarial Analyst

Chicago, IL · On-site

... with coding in SQL, VBA, or R/Python * Experience with statistical modeling and predictive ... competitive Actuarial Study Program to support and reward you as you complete the Casualty ...

AceStack LLC

Jr. R Python Developer

$51.50 - $71/hr

Success in this role requires a strong foundation in R and Python programming, basic SQL skills, a willingness to learn, and the ability to work effectively in a fast paced, collaborative environment.

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of ...

centralins

Senior Actuarial Analyst

Dublin, OH · On-site +1

Bachelor's degree in Mathematics, Actuarial science, Statistics, Analytics or related field and 2 ... Strong skills with programming languages such as Python, SQL, R, SAS and VBA * 4+ Actuarial Exams ...

centralins

Senior Actuarial Analyst

Dublin, OH · On-site +1

Bachelor's degree in Mathematics, Actuarial science, Statistics, Analytics or related field and 2 ... Strong skills with programming languages such as Python, SQL, R, SAS and VBA * 4+ Actuarial Exams ...

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Statistics R Python Sql Actuarial information

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How much do statistics r python sql actuarial jobs pay per year?

As of Jun 25, 2026, the average yearly pay for statistics r python sql actuarial in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

How does a Statistics R Python SQL Actuarial professional typically collaborate with other departments within an organization?

Professionals in this role often work closely with teams across finance, IT, and risk management to develop models, analyze large datasets, and inform business decisions. They translate complex statistical findings into actionable insights for non-technical stakeholders, often presenting results and recommendations in meetings or reports. Collaboration is key, as they may partner with software engineers to automate analyses, or with business analysts to align models with organizational goals. This cross-functional teamwork not only enhances the impact of their work but also provides opportunities to learn from diverse perspectives within the company.

What does a Statistics R Python SQL Actuarial professional do?

A Statistics R Python SQL Actuarial professional uses statistical methods and programming languages like R and Python, along with SQL for database management, to analyze data and assess risk, primarily in insurance and finance industries. They develop mathematical models to predict future events, calculate premiums, and ensure financial stability for organizations. Their work often involves processing large data sets, automating analyses, and communicating complex findings to stakeholders. The combination of statistical expertise and programming skills makes them valuable for data-driven decision making.

What are the key skills and qualifications needed to thrive as an Actuarial Analyst with expertise in Statistics, R, Python, and SQL, and why are they important?

To thrive as an actuarial analyst, you need a strong background in statistics, mathematics, and actuarial science, often supported by a relevant degree and progress toward actuarial certifications (such as SOA or CAS exams). Expertise in programming languages like R and Python, along with proficiency in SQL for data manipulation, is essential for analyzing large datasets and building predictive models. Strong problem-solving, analytical thinking, and communication skills help you interpret data and explain complex findings to stakeholders. These skills and qualifications are vital for delivering accurate risk assessments and supporting data-driven decision-making in finance and insurance industries.

What is the difference between Statistics R Python Sql Actuarial vs Data Analyst?

AspectStatistics R Python Sql ActuarialData Analyst
Required CredentialsStatistics, Actuarial exams, R, Python, SQLDegree in statistics, data science, or related field; SQL, Excel, visualization tools
Work EnvironmentFinance, insurance, consulting firms; quantitative teamsBusiness, marketing, tech companies; cross-functional teams
Industry UsageActuarial science, insurance, financeRetail, healthcare, tech, finance

Statistics R Python Sql Actuarial professionals focus on risk assessment, financial modeling, and predictive analytics, often within finance and insurance sectors. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and some overlapping tools like SQL, actuaries emphasize actuarial exams and financial modeling, whereas data analysts focus more on data visualization and reporting.

Infographic showing various Statistics R Python Sql Actuarial job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.
Actuarial Senior Consultant - Remote

Actuarial Senior Consultant - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$91K - $163K/yr

Full-time

Retirement

Posted 29 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

189th of 875 rated healthcare providers

Job description

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
As an Actuarial Senior Consultant on the UHG Enterprise Solutions team you will use advanced analytical tools and large-scale healthcare data to analyze the financial impact of emerging healthcare technologies, drugs, and market developments. You will lead project teams, deliver consultative insights, and deliver insights that inform strategy and support growth initiatives.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Lead projects supporting growth opportunities within the Health Technology Pipeline
  • Deliver consultative, solution-oriented analytics to identify opportunities and support client decision-making
  • Partner with stakeholders to define and investigate key business questions (e.g., utilization and financial impact analyses)
  • Extract, analyze, and interpret data using appropriate analytical tools (e.g., SAS, SQL, Excel, R, Python)
  • Contribute to process improvements and automation initiatives
  • Support ad-hoc analytic requests related to emerging healthcare innovations
  • Develop and communicate insights through clear data visualizations and executive-ready presentations
  • Assess market developments and business initiatives and quantify their impact on the book of business
  • Serve as a subject matter expert while mentoring and developing actuarial talent

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree in Actuarial Science or a related field
  • On the Associate of the Society of Actuaries (ASA) credential track having passed 3 or more Actuarial exams
  • 4+ years of actuarial experience
  • Experience delivering consultative, solution-driven analytics on complex initiatives
  • Ability to collaborate with and present to senior leaders and cross-functional teams
  • Advanced proficiency in Microsoft Excel
  • Experience with SAS, SQL, R, Python, or other statistical programming languages

Preferred Qualifications:
  • ASA or FSA credential
  • 3+ years in the health care industry
  • Proficiency with SAS, SQL, R, Python, or other statistical programming languages
  • Familiarity with standard actuarial trend methods

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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