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Math Major Computer Science Minor Jobs in Jacksonville, FL

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

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Math Major Computer Science Minor information

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How much do math major computer science minor jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for math major computer science minor in Jacksonville, FL is $23.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $26.97 per hour, depending on experience, location, and employer.

What is a Math Major Computer Science Minor job?

A Math Major with a Computer Science Minor typically works in fields that require strong analytical and computational skills, such as data science, software development, finance, or applied mathematics. They use their mathematical background to solve complex problems and their computer science knowledge to implement algorithms or develop software solutions. Common roles include data analyst, software engineer, actuarial analyst, or quantitative researcher. Their unique skill set allows them to bridge the gap between theoretical math and practical computing applications.

What are the key skills and qualifications needed to thrive in the Math Major Computer Science Minor position, and why are they important?

A Math Major with a Computer Science Minor should have strong analytical, mathematical, and programming abilities, often supported by a bachelor's degree in mathematics with coursework in algorithms, data structures, and statistical analysis. Familiarity with tools like Python, MATLAB, R, or SQL, and experience using version control systems such as Git, are commonly required in technical roles. Excellent problem-solving, attention to detail, and strong communication skills help individuals collaborate effectively and present technical findings clearly. These skills and qualifications are vital for solving complex problems, driving data-driven decision-making, and succeeding in interdisciplinary technical environments.

What types of entry-level roles are available for candidates with a background as a Math Major and Computer Science Minor?

Math Majors with a Computer Science Minor are frequently hired for entry-level positions such as data analyst, software engineer, quantitative analyst, research assistant, or business intelligence associate. In these roles, you may analyze data, write code, develop algorithms, or assist in software development projects, often as part of a collaborative, cross-functional team. This combination of skills opens doors to diverse industries including finance, technology, consulting, healthcare, and academia. As you gain experience, there are ample growth opportunities toward more specialized or senior positions such as data scientist, machine learning engineer, or quantitative researcher.

What are popular job titles related to Math Major Computer Science Minor jobs in Jacksonville, FL? For Math Major Computer Science Minor jobs in Jacksonville, FL, the most frequently searched job titles are:
What job categories do people searching Math Major Computer Science Minor jobs in Jacksonville, FL look for? The top searched job categories for Math Major Computer Science Minor jobs in Jacksonville, FL are:
What cities near Jacksonville, FL are hiring for Math Major Computer Science Minor jobs? Cities near Jacksonville, FL with the most Math Major Computer Science Minor job openings:
Infographic showing various Math Major Computer Science Minor job openings in Jacksonville, FL as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $49,025 per year, or $23.6 per hour.

Data Scientist, AI

Munich Re

Jacksonville, FL โ€ข On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post-deployment, making adjustments as needed. Join us in building AI/ML models that truly drive business value and make a measurable impact.

Roles & Responsibilities:

  • Build and deploy AI/ML models with general guidance.
  • Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.
  • Participate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills:

  • Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.
  • Demonstrated experience building and deploying statistical and machine learning models to address business challenges.
  • Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.
  • Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
  • Familiarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.

Skills / Knowledge / Experience:

  • Develop and project manage modeling projects and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Mentor junior team members.
  • Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
  • Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.

Education, Certifications & Designations:

  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

  • Two options for your health insurance plan (PPO or High Deductible)
  • Prescription drug coverage (included in your health insurance plan)
  • Vision and dental insurance plans
  • Short and Long Term Disability coverage
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย 

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Applicants requiring employer sponsorship of a visa will not be considered for this position.

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