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Data Science Summer Intern Jobs in Delaware (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

$13 - $17.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14.50 - $19.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14.25 - $18.75/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14.75 - $19.50/hr

Overview Join our growing data security company as a Marketing Design Intern. In this role, you'll ... Remote Duration: 10-12 weeks (Summer 2025)

$14.50 - $19.50/hr

What You Can Expect The Clinical Applications Intern is responsible for providing support to the ... Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data ...

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Data Science Summer Intern information

See Delaware salary details

$12

$22

$42

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

As of Aug 11, 2026, the average hourly pay for data science summer intern 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 does a Data Science Summer Intern do?

A Data Science Summer Intern typically works with a team of data scientists and analysts to help collect, clean, and analyze data. They may assist in building machine learning models, visualizing data, and generating reports to provide actionable insights for the organization. Interns often gain hands-on experience with programming languages like Python or R, as well as tools such as SQL and data visualization software. Their work supports larger projects and helps them develop practical skills for a career in data science.

What skills and qualifications are needed to thrive as a Data Science Summer Intern?

To thrive as a Data Science Summer Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework or projects in data science or related fields. Familiarity with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and version control systems (e.g., Git) is typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling real-world data challenges and presenting findings. These skills and qualities are crucial for extracting actionable insights from data and contributing meaningfully to team projects.

How do Data Science Summer Interns typically collaborate with other team members during their internship?

Data Science Summer Interns often work closely with data scientists, analysts, and engineers as part of cross-functional project teams. They usually participate in regular meetings, share progress updates, and seek feedback from mentors or supervisors. Interns may be assigned specific tasks within larger projects, such as data cleaning, exploratory analysis, or model development, and are encouraged to ask questions and contribute ideas. This collaborative environment helps interns learn from experienced professionals while developing both technical and communication skills.

Can I get an internship in data science?

Data Science Summer Internships are available at many companies for students or recent graduates with skills in programming, statistics, and data analysis. Applicants typically need a background in relevant fields, proficiency in tools like Python or R, and may be required to complete technical assessments or interviews. These internships usually last several weeks during the summer and provide hands-on experience in data-driven projects.

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

AspectData Science Summer InternData Analyst Summer Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Business, or related fields
Work EnvironmentTech companies, startups, research labs with focus on data modeling and machine learningBusiness firms, marketing agencies, finance companies focusing on data reporting and analysis
Employer & Industry UsageCommon in tech, finance, healthcare industriesPrevalent in retail, finance, consulting sectors

While both roles involve working with data, a Data Science Summer Intern typically focuses on building models, machine learning, and advanced analytics, whereas a Data Analyst Summer Intern concentrates on data reporting, visualization, and insights. The choice depends on your career interests in technical modeling versus data interpretation.

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 Intern jobs in Delaware? For Data Science Summer Intern jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Science Summer Intern jobs in Delaware look for? The top searched job categories for Data Science Summer Intern jobs in Delaware are:
What cities in Delaware are hiring for Data Science Summer Intern jobs? Cities in Delaware with the most Data Science Summer Intern job openings:
Infographic showing various Data Science Summer Intern 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.

Part-time

Re-posted 6 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.
  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
  • Previous internship or project experience demonstrating practical data science applications.
  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.