Job Description
Job Title: Modeling and Simulation Engineering Intern Location: Remote Options
Duration [3–6 months] | [Full-time / Part-time]
About Us DMS International is a leader in public policy simulations. We specialize in creating cutting-edge modeling and simulation platforms to support data-driven decision-making across industries, from transportation to
public policy and risk management.
As part of our growing
Modeling and Simulation Division , we are seeking a highly motivated
consultant to join our engineering team and gain hands-on experience with real-world simulation projects.
Role Overview As a
Modeling and Simulation Engineering Intern , you will work closely with senior engineers and data scientists to
design, develop, test, and validate simulation models . You will contribute to projects involving
digital twins, AI-driven predictive modeling, scenario analysis, and system-level simulations to help stakeholders explore complex problems and make informed decisions.
This role offers exposure to a variety of disciplines, including
systems engineering, data analytics, AI/ML integration, and simulation-based policy design .
Key Responsibilities - Model Development & Design
- Assist in building simulation models using tools such as Vensim.
- Support the development of system dynamics models.
- Integrate real-world datasets into simulations to improve accuracy and relevance.
- Scenario Analysis & Testing
- Run “what-if” simulations to evaluate system performance under different assumptions.
- Analyze simulation outputs to identify trends, risks, and optimization opportunities.
- Data Integration & Visualization
- Work with engineering and data science teams to integrate heterogeneous datasets into simulation pipelines.
- Create interactive dashboards and visualizations for stakeholders using tools like Power BI, Tableau, or Python (Matplotlib, Plotly).
- Documentation & Reporting
- Prepare technical reports, simulation specifications, and user guides.
- Present findings to cross-functional teams, senior engineers, and stakeholders.
Qualifications - Education: Currently pursuing a Bachelor’s or Master’s degree in:
- Systems Engineering
- Computer Science
- Mechanical / Electrical Engineering
- Applied Mathematics
- Data Science
- Or a related technical field
Technical Skills - Familiarity with modeling and simulation software (e.g., MATLAB/Simulink, AnyLogic, Arena, Vensim).
- Basic proficiency in Python, R, C++, or Java for model development and data analysis.
- Knowledge of machine learning and AI integration into simulation models is a plus.
- Understanding of data visualization tools (Power BI, Tableau, or Python libraries).
Soft Skills - Strong analytical and problem-solving abilities.
- Ability to work collaboratively in a multidisciplinary team.
- Excellent written and verbal communication skills.
- Detail-oriented with a passion for innovation.
Preferred Experience (Nice To Have)- Prior exposure to digital twin technology.
- Experience with cloud-based simulation environments (AWS, Azure, or IBM Watsonx).
- Familiarity with simulation-based decision-making in fields like healthcare, transportation, or policy.
Job Tags
Full time, Part time, Internship, Remote work,