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Remote Python Data Analysis Jobs in Springfield, NE

Data Engineer

Omaha, NE · On-site +1

$109K - $131K/yr

Use Python to automate data workflows * Design algorithms databases, and pipelines to access, and ... Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ...

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... Use SQL, Python to extract and profile data from structured and unstructured sources, ensuring high ...

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$109K - $131K/yr

Use Python to automate data workflows * Design algorithms databases, and pipelines to access, and ... Prepare data for predictive and prescriptive modeling deploying analytics programs, machine ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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Remote Python Data Analysis information

See Springfield, NE salary details

$12

$57

$84

How much do remote python data analysis jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for remote python data analysis in Springfield, NE is $57.39, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.
What job categories do people searching Remote Python Data Analysis jobs in Springfield, NE look for? The top searched job categories for Remote Python Data Analysis jobs in Springfield, NE are:
Infographic showing various Remote Python Data Analysis job openings in Springfield, NE as of May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,378 per year, or $57.4 per hour.
Actuarial Data Scientist - Remote

Actuarial Data Scientist - Remote

Mutual of Omaha

Omaha, NE • On-site, Remote

Other

Retirement, PTO

Posted 7 days ago


Mutual Of Omaha rating

8.6

Company rating: 8.6 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

73rd of 260 rated insurance


Job description

Actuarial Data Scientist - Remote

Apply now Job no: 504831
Work type: Full Time Regular
Location: Remote
Categories: Information Technology

Position Summary:

We are seeking an innovative and analytical Actuarial Data Scientist to join our team. This role combines actuarial expertise, statistical modeling, and advanced data science techniques to improve pricing, forecasting, risk assessment, and business decision-making. The ideal candidate is comfortable working with large datasets, building predictive models, and translating complex analytics into actionable insights.

WHAT WE CAN OFFER YOU:

  • $100,000 to $130,000, eligible for annual bonus, as applicable.
  • 401(k) plan with a 2% company contribution and 6% company match.
  • Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

  • Develop and maintain predictive models for pricing, reserving, underwriting, and risk management
  • Analyze large structured and unstructured datasets to identify trends and business opportunities
  • Apply machine learning and statistical techniques to improve forecasting accuracy
  • Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives
  • Design and automate reporting and analytical processes
  • Support regulatory and financial reporting requirements
  • Perform experience studies, scenario analyses, and profitability assessments
  • Communicate technical findings to both technical and non-technical stakeholders
  • Continuously evaluate emerging technologies and modeling approaches

WHAT YOU'LL BRING:

  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field
  • 3+ years of experience in actuarial analytics, data science, insurance analytics, or related field
  • Strong proficiency in Python, and SQL, technical experience.
  • Experience with predictive modeling and statistical analysis
  • Knowledge of insurance products, actuarial principles, and risk modeling
  • Excellent problem-solving and communication skills

Preferred

  • Experience with version control and collaborative development workflows (e.g., Git/GitHub) using modern development environments such as Visual Studio Code.
  • Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines
  • Experience with machine learning frameworks and cloud platforms
  • Strong proficiency in Python, and SQL, technical experience
  • Familiarity with Tableau, Power BI, or other visualization tools

Why Join Us?

  • Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
  • We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 
  • If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.
  • Stay Safe from Job Scams
    Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
  • Fair Chance Notices
  • #mutualofomaha

Advertised: May 27, 2026 09:00 AM Central Daylight Time
Applications close:

Apply now


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