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Mathematical Modeling Jobs in Indiana (NOW HIRING)

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

Applied mathematical modeling * Proven ability to take ideas from concept to scalable production solutions. * Hands-on experience with generative AI and large language models (fine-tuning, RAG ...

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Mathematical Modeling information

See Indiana salary details

$26.2K

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$57.6K

How much do mathematical modeling jobs pay per year?

As of Jun 26, 2026, the average yearly pay for mathematical modeling in Indiana is $53,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems across various fields such as engineering, finance, and science. They use tools like statistical analysis, computer simulations, and programming languages to create models that predict behavior and inform decision-making.

What careers use mathematical modeling?

Mathematical modeling is used in careers such as data scientist, operations researcher, financial analyst, engineer, and epidemiologist. These roles involve developing models to analyze data, optimize processes, or predict outcomes, often requiring skills in programming, statistics, and domain-specific knowledge.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance. Mathematicians in the FBI may work on developing algorithms, analyzing complex data, or supporting investigations.

What are the key skills and qualifications needed to thrive as a Mathematical Modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

How to become a mathematical modeller?

To become a mathematical modeller, you typically need a bachelor's degree in mathematics, applied mathematics, engineering, or a related field, with advanced roles often requiring a master's or Ph.D. in a quantitative discipline. Developing strong skills in programming, data analysis, and modeling tools such as MATLAB, R, or Python is essential, along with experience in applying mathematical techniques to real-world problems through internships or projects.

How to Get a Job in Mathematical Modeling

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the most commonly searched types of Mathematical Modeling jobs in Indiana? The most popular types of Mathematical Modeling jobs in Indiana are:
What are popular job titles related to Mathematical Modeling jobs in Indiana? For Mathematical Modeling jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Indiana look for? The top searched job categories for Mathematical Modeling jobs in Indiana are:
What cities in Indiana are hiring for Mathematical Modeling jobs? Cities in Indiana with the most Mathematical Modeling job openings:

Modeling and Simulation Engineer (Multi Domain Physics)

V2X

Indianapolis, IN

Full-time

Posted 2 days ago


V2X rating

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

50th of 356 rated engineering


Job description

Overview

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.


The Modeling and Simulation Engineer (Multi-Domain Physics) will develop actuator models and system-level integrations to support aerospace research and product development. This role focuses on creating and validating mathematical models and multi-body dynamic simulations using MATLAB, Simulink, and Simscape to analyze the performance of thermal fluid systems, pneumatic actuators, and electro-mechanical mechanisms. The engineer will collaborate with cross-functional teams, guide global modeling initiatives, and provide technical leadership to advance model-based engineering practices.


Responsibilities

Key Responsibilities:

  • Develop multi-domain physics-based plant models and multi-body dynamic simulations for aerospace systems, including actuators, thermal fluid systems, and dynamic mechanical systems.
  • Validate models using experimental lab data, application testing, and hardware-in-the-loop (HIL) setups.
  • Support controls integration with system-level simulations for closed-loop performance verification and stability analysis.
  • Analyze actuator-structure interactions, load transmission, and transient responses using multi-domain coupling techniques.
  • Refine and update models based on experimental results to improve predictive accuracy and reliability.
  • Collaborate with global teams and product teams to define modeling objectives, assumptions, and expected results while ensuring the technical quality of model deliverables.
  • Document analysis processes and produce traceable verification artifacts, including interface control documents and verification matrices.
  • Mentor junior engineers, support global modeling efforts, and champion best practices for modeling and simulation workflows.

Qualifications

Required Skills:

  • Minimum of six (6) years of relevant professional experience, including hands-on work in modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Expertise in MATLAB, Simulink, and Simscape (including Simscape Fluids) for modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Proficiency in modeling and simulation tools for dynamic systems and thermal-fluid systems.
  • Experience with hardware-in-the-loop testbeds, real-time model deployment, and system testing.
  • Ability to implement systems engineering principles for simulation activities, including multidisciplinary system coupling and actuator integration.
  • Strong technical data analysis, model refinement, and verification skills using experimental and flight test data.
  • Excellent cross-functional communication and teamwork abilities, including mentoring, technical oversight, and delivering traceable verification artifacts.         
  • Familiarity with aerospace and defense standards (e.g., MIL-STD-810/DO-254).
  • US Citizenship with the ability to obtain and maintain a secret clearance.

Desired Skills:

  • Ten (10) years or more of relevant professional experience, including hands-on work in modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Knowledge of Simulation Process Data Management (SPDM) tools.
  • Experience with advanced modeling software such as Siemens Amesim.
  • Hands-on experience with multi-body dynamics and actuator-structure interaction assessments.
  • Exposure to CAD/FEA workflows, thermal-stress analyses, and experimental testing.

Education Requirements:

  • Bachelor’s degree in mechanical or aerospace engineering, or a related discipline from an accredited institution.
  • Advanced degree (MS or PhD) in mechanical or aerospace engineering, or a related discipline strongly preferred but not required.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-VH1

Qualifications:

Required Skills:

  • Minimum of six (6) years of relevant professional experience, including hands-on work in modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Expertise in MATLAB, Simulink, and Simscape (including Simscape Fluids) for modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Proficiency in modeling and simulation tools for dynamic systems and thermal-fluid systems.
  • Experience with hardware-in-the-loop testbeds, real-time model deployment, and system testing.
  • Ability to implement systems engineering principles for simulation activities, including multidisciplinary system coupling and actuator integration.
  • Strong technical data analysis, model refinement, and verification skills using experimental and flight test data.
  • Excellent cross-functional communication and teamwork abilities, including mentoring, technical oversight, and delivering traceable verification artifacts.         
  • Familiarity with aerospace and defense standards (e.g., MIL-STD-810/DO-254).
  • US Citizenship with the ability to obtain and maintain a secret clearance.

Desired Skills:

  • Ten (10) years or more of relevant professional experience, including hands-on work in modeling mechanical, thermal fluid, pneumatic, and actuator systems.
  • Knowledge of Simulation Process Data Management (SPDM) tools.
  • Experience with advanced modeling software such as Siemens Amesim.
  • Hands-on experience with multi-body dynamics and actuator-structure interaction assessments.
  • Exposure to CAD/FEA workflows, thermal-stress analyses, and experimental testing.

Education Requirements:

  • Bachelor’s degree in mechanical or aerospace engineering, or a related discipline from an accredited institution.
  • Advanced degree (MS or PhD) in mechanical or aerospace engineering, or a related discipline strongly preferred but not required.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

#LI-VH1

Education:UNAVAILABLEEmployment Type: FULL_TIME

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


About V2X

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1945