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Data Science Summer Internship Jobs in Delaware (NOW HIRING)

$14.75 - $18.75/hr

Interns will complete pre-trip investigative research, conduct action research for 1 week in Iceland, and spend 2 months wrapping up their research from their home or university during the summer or ...

$16.50 - $20.75/hr

Interns will complete pre-trip investigative research, conduct action research for 1 week in Iceland, and spend 2 months wrapping up their research from their home or university during the summer or ...

$16 - $20.25/hr

Interns will complete pre-trip investigative research, conduct action research for 1 week in Iceland, and spend 2 months wrapping up their research from their home or university during the summer or ...

$16.50 - $21/hr

Interns will complete pre-trip investigative research, conduct action research for 1 week in Iceland, and spend 2 months wrapping up their research from their home or university during the summer or ...

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Coursework, internships, or handson experience in data science, analytics, automation, or AI. Eligibility Requirements The preferred work location for this role is at the GEH Headquarters in ...

Our trendsetting interns learn hands-on what it takes to be a staff accountant for a growing ... Conduct business-specific research - gather and analyze data, interpret results, compile reports ...

Showing results 21-40

Data Science Summer Internship information

See Delaware salary details

$12

$22

$42

How much do data science summer internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science summer internship in Delaware is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is a data science summer internship?

A Data Science Summer Internship is a temporary, typically 8-12 week position offered during the summer to students or recent graduates interested in gaining hands-on experience in data science. Interns work on real-world projects involving data collection, cleaning, analysis, and visualization, often using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and networking opportunities that can help launch a career in data science.

What is the difference between Data Science Summer Internship vs Data Analyst Summer Internship?

AspectData Science Summer InternshipData Analyst Summer Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentHands-on projects involving machine learning, programming, and data modelingData cleaning, reporting, and visualization tasks
Employer & Industry UsageTech companies, startups, finance, healthcareBusiness, marketing, finance, consulting

While both internships involve working with data, Data Science Summer Internships focus on building predictive models and advanced analytics, whereas Data Analyst Summer Internships emphasize data interpretation, reporting, and visualization. Candidates should choose based on their skills and career goals in data-related roles.

What are the key skills and qualifications needed to thrive as a data science summer intern, and why are they important?

To thrive as a Data Science Summer Intern, you need a solid grounding in statistics, programming (often Python or R), and data analysis, typically supported by coursework in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization libraries, as well as exposure to machine learning frameworks, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set outstanding interns apart. These skills are crucial for translating complex data into actionable insights and collaborating successfully within multidisciplinary teams.

What types of projects and collaboration can I expect during a data science summer internship?

As a Data Science Summer Intern, you'll typically work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. Interns often collaborate with cross-functional teams such as engineering, product management, and business analytics to understand project requirements and deliver actionable insights. You'll likely participate in team meetings, present your findings, and receive constructive feedback, offering a valuable opportunity to learn industry best practices and improve your technical and communication skills.
What are the most commonly searched types of Data Science Summer jobs in Delaware? The most popular types of Data Science Summer jobs in Delaware are:
What are popular job titles related to Data Science Summer Internship jobs in Delaware? For Data Science Summer Internship jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Science Summer Internship jobs in Delaware look for? The top searched job categories for Data Science Summer Internship jobs in Delaware are:
What cities in Delaware are hiring for Data Science Summer Internship jobs? Cities in Delaware with the most Data Science Summer Internship job openings:
Infographic showing various Data Science Summer Internship job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,849 per year, or $22.5 per hour.

Applied AI/ML [Multiple Positions Available]

JPMorgan Chase & Co

Wilmington, DE • On-site

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 21 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


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.

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

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.

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