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Part Time Data Science Internships Jobs (NOW HIRING)

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Vendelux Inc

Part time Data Intern

New York, NY · On-site

... data. Our platform powers thousands of event decisions by delivering proprietary, AI-driven ... We are offering a paid internship to an entry-level person looking to break into tech and startups.

University of Hawaii

Lecturer (Data Science)

Hilo, HI · On-site

UH Hilo, Hilo, HI Job Type: Part-Time Temporary Job Number: 2026-01086 Department: University of ... Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ...

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

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How much do part time data science internships jobs pay per year?

As of Jul 20, 2026, the average yearly pay for part time data science internships in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

Can you work part-time as a data scientist?

Part-time data science internships are common and typically involve fewer hours than full-time roles, allowing students or entry-level professionals to gain experience while balancing other commitments. These internships often require skills in programming, data analysis, and tools like Python or R, and may be available during academic semesters or summer breaks.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes in projects.

Is 30 too late for data science?

Age is not a barrier to pursuing a data science internship or career; many professionals transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical projects regardless of age.

Is $30 an hour good for an internship?

For a part-time data science internship, $30 an hour is considered above average in many regions and reflects a competitive rate for entry-level or internship positions that require some technical skills like programming and data analysis. However, internship pay varies based on location, industry, and company size, so it's important to compare with local standards and the internship's responsibilities.
What cities are hiring for Part Time Data Science Internships jobs? Cities with the most Part Time Data Science Internships job openings:
What are the most commonly searched types of Data Science Internships jobs? The most popular types of Data Science Internships jobs are:
What states have the most Part Time Data Science Internships jobs? States with the most job openings for Part Time Data Science Internships jobs include:
Part Time Data Science Internships jobs near you

Data Science Intern

Athena LLC

On-site, Remote

Part-time

Re-posted 13 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.

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