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Entry Level Mathematical Modeling Jobs (NOW HIRING)

NeighborImpact

Home Energy Technician

Bend, OR · On-site

$28.81/hr

Dive into an entry-level role where you'll receive comprehensive on-the-job training. You'll ... A pre-employment math skills assessment will be administered. * Demonstrated proficiency with ...

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

... Modeling, Applied AI/ML, Azure OpenAI, RAG, and LLM concepts. Potential Career Paths: * Data ... Bachelor's or Master's degree in Computer Science, Business Analytics, Mathematics, Computer ...

NeighborImpact

Home Energy Technician

Bend, OR · On-site

$28.81/hr

Dive into an entry-level role where you'll receive comprehensive on-the-job training. You'll ... A pre-employment math skills assessment will be administered. * Demonstrated proficiency with ...

RFA Engineering

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

Strong mathematical and analytical problem solving skills * Strong verbal and written communication ... Experience with Simulink Model Based Software Design * General machine knowledge of industrial ...

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Entry Level Mathematical Modeling information

See salary details

$25K

$47.8K

$68.5K

How much do entry level mathematical modeling jobs pay per year?

As of Jul 13, 2026, the average yearly pay for entry level mathematical modeling in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Mathematical Modeling professional, and why are they important?

To thrive as an Entry Level Mathematical Modeling professional, you need a solid background in mathematics, statistics, and analytical problem-solving, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or MATLAB and experience using modeling software or statistical packages are commonly required. Strong attention to detail, effective communication, and the ability to collaborate within multidisciplinary teams make candidates stand out. These skills ensure accurate model development, clear interpretation of data, and successful integration of solutions into real-world applications.

What is the difference between Entry Level Mathematical Modeling vs Data Analyst?

AspectEntry Level Mathematical ModelingData Analyst
Required CredentialsBachelor's in Math, Engineering, or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch labs, engineering firms, tech companiesBusiness, finance, healthcare sectors
Employer & Industry UsageUsed for developing models and simulationsUsed for interpreting data and generating reports
Common Search & ComparisonYesYes

Entry Level Mathematical Modeling focuses on creating mathematical representations of real-world systems, often in engineering or scientific contexts. Data Analysts interpret and visualize data to support business decisions. While both roles require strong math skills and similar educational backgrounds, their work environments and primary objectives differ.

What types of projects do entry-level mathematical modeling professionals typically work on, and how do they collaborate with other team members?

Entry-level mathematical modeling professionals often work on projects involving data analysis, simulation, or prediction using mathematical and statistical techniques. They typically assist in building and testing models under the supervision of senior analysts or scientists and collaborate closely with data scientists, engineers, and subject matter experts to refine assumptions and validate results. Communication is key, as they need to present findings and adjust models based on feedback. This role offers great exposure to interdisciplinary teams, helping new professionals develop both technical and teamwork skills.

What are entry level mathematical modeling jobs?

Entry level mathematical modeling jobs are positions suited for recent graduates or those new to the field, where individuals use mathematical techniques and computational tools to analyze real-world problems. These roles often involve building and testing models to simulate scenarios in fields like finance, engineering, biology, or data science. Professionals in these positions typically work with teams to interpret data, validate models, and provide insights that inform business or research decisions. Strong analytical skills, proficiency in mathematics, and familiarity with programming languages such as Python or MATLAB are commonly required.
More about Entry Level Mathematical Modeling jobs
What cities are hiring for Entry Level Mathematical Modeling jobs? Cities with the most Entry Level Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
What job categories do people searching Entry Level Mathematical Modeling jobs look for? The top searched job categories for Entry Level Mathematical Modeling jobs are:
Entry Level Mathematical Modeling jobs near you
Infographic showing various Entry Level Mathematical Modeling job openings in the United States as of July 2026, with employment types broken down into 69% Full Time, 15% Part Time, 8% Temporary, and 8% Nights. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Reinsurance Underwriting Analyst(Junior / Entry-Level)

MSIG Holdings USA, Inc.

Warren, NJ • On-site

$65K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

MSIG USA continues to grow!
Company Overview:
MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.
Position Summary / Job Purpose
The Reinsurance Analyst is an entry-level role designed for a recent graduate interested in building a career in insurance and reinsurance. This position supports the underwriting and reinsurance teams through data extraction, data analytics, reporting, and Excel-based analysis. The role provides exposure to reinsurance structures, broker interactions, and contract documentation processes while developing foundational technical and analytical skills.
Essential Duties & Responsibilities
Reinsurance & Underwriting Support
  • Assist with preparation of materials for reinsurance renewals and placements (e.g., data packs, summaries, exhibits).
  • Support tracking of facultative and treaty placements, including documentation and data entry.
  • Help review incoming broker requests and support the team with data needed for timely responses.

Process & Operational Support
  • Support documentation and tracking of reinsurance contracts and placements.
  • Assist with data entry into reinsurance systems and maintain data integrity.
  • Collaborate with underwriting, finance, and operations teams to ensure smooth workflow and data consistency.

Data Extraction & Reporting
  • Extract and compile data from internal systems related to premium, losses, exposures, and reinsurance placements.
  • Prepare recurring and ad hoc reports to support underwriting, reinsurance, and finance teams.
  • Validate and reconcile data sets to ensure completeness and accuracy across systems.

Data Analytics & Insights
  • Perform basic to intermediate data analysis to support decision-making around reinsurance placements and portfolio performance.
  • Assist in analyzing trends in premium, loss ratios, and exposure concentrations.
  • Support preparation of data summaries used in treaty negotiations and broker submissions.

Excel & Data Management
  • Build and maintain Excel models, including use of:
    • Pivot tables
    • VLOOKUP/XLOOKUP
    • Basic formulas and data manipulation
  • Organize and maintain structured datasets to support reporting and analytics.
  • Assist in improving reporting efficiency through standard templates and automation.

Qualifications
Education/Experience
  • Bachelor's degree required (Finance, Risk Management, Mathematics, Economics, Data Analytics, or related field preferred)
  • 0-2 years of experience (e.g., internships, co-ops, or entry-level role)
  • Strong academic background with exposure to data analysis, finance, or insurance concepts preferred

Required Skills & Abilities
  • Strong Excel skills (required; practical proficiency expected)
  • Analytical mindset with the ability to interpret and manipulate data
  • High attention to detail and accuracy
  • Strong organizational and time management skills
  • Basic understanding of business or financial concepts
  • Strong written and verbal communication skills
SALARY: The estimated salary range for this position is $65,000.00-75,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discount
#LI-Hybrid
It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!
It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

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