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Internship Mathematical Modeling Jobs in Delaware

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Internship Mathematical Modeling information

What types of projects can I expect to work on during an internship in mathematical modeling?

As an intern in mathematical modeling, you will likely work on projects that involve creating and analyzing mathematical representations of real-world systems. These can include tasks such as developing predictive models for business processes, optimizing logistics, or simulating scientific phenomena. You'll typically collaborate with data scientists, engineers, and subject matter experts to gather requirements, validate your models, and present findings. This hands-on experience helps you build both your technical and teamwork skills, preparing you for more advanced roles in analytics and modeling.

What are the key skills and qualifications needed to thrive as an internship in mathematical modeling, and why are they important?

To thrive in a Mathematical Modeling internship, you need solid foundations in mathematics, statistics, and programming, usually supported by coursework in applied mathematics or related fields. Familiarity with technical tools like MATLAB, Python, R, and simulation software is often expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when working with complex data and interdisciplinary teams. These competencies are crucial for accurately developing models, interpreting results, and conveying findings to diverse stakeholders.

What is the difference between Internship Mathematical Modeling vs Data Analyst Internship?

AspectInternship Mathematical ModelingData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in mathematics, statistics, or related fieldsOften pursuing or recent graduate in statistics, data science, or related fields
Work EnvironmentResearch-focused, project-based, often in academia or R&D departmentsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in industries like finance, engineering, and tech for modeling complex systemsCommon in marketing, finance, healthcare, and tech for data analysis

Internship Mathematical Modeling and Data Analyst Internships both involve working with data, but modeling internships focus on developing mathematical representations of systems, while data analysis internships emphasize interpreting and visualizing data for decision-making. The choice depends on your interest in theoretical modeling versus practical data insights.

What is an internship in mathematical modeling?

An internship in mathematical modeling is a temporary, practical work experience where students or recent graduates apply mathematical theories and computational techniques to solve real-world problems. Interns typically work with data analysis, simulation, and mathematical software to develop models in fields such as engineering, finance, or science. These internships help participants gain hands-on experience, improve technical skills, and build professional networks in preparation for future careers.
What cities in Delaware are hiring for Internship Mathematical Modeling jobs? Cities in Delaware with the most Internship Mathematical Modeling job openings:

Applied AI/ML [Multiple Positions Available]

J.P. Morgan

Wilmington, DE

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 14 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and Model Risk Governance and Review (MRGR).

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The employer will alternatively accept a PhD in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The occupation may be gained through professional work experience, graduate work occupation experience, postdoctoral experience, or internship.

Skills Required: This position requires three (3) years of experience with the following: Applying artificial intelligence (AI) and machine learning (ML) techniques including Logistic Regression, Random Forest, and Gradient Boosting Machine to develop and implement classification and regression models on large-scale datasets; Deploying data analysis, feature-engineering, and model development workflows using Python and SAS. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship. This position requires any amount of experience with the following: Utilizing Analytical and modeling methods including logistic regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis, factor analysis, and time series analysis; Identifying quantitative relationship embedded within data to predict target variable and inform decision-making; Utilizing Quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including LOOKUP, index match, data analysis add-ons, Pivots, and Visual Basic for Applications (VBA); Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python; Processing large data sets using data containers, multithreading, and multiprocessing in PySpark; Utilizing data science libraries including Pandas, Numpy, Scikit-learn, TensorFlow, Pytorch, Matplotlib and Seaborn and software engineering fundamentals including version control using GitHub and Bitbucket. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship.  

Job Location: 301 N Walnut St, Wilmington, DE 19801-3935.

Full-Time.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.