1

Evening Data Science Internships Jobs (NOW HIRING)

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

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

$120 - $180/hr

... data science (internships or projects count). Proficiency with SQL and at least one analytical programming language (Python preferred). * Ability to work with large datasets and translate findings ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Design and craft data science models to communicate solutions to customers and company leadership ... the internship * At least 6 months experience or academic work using open source programming ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

Showing results 21-40

Evening Data Science Internships information

See salary details

$44.5K

$129.7K

$177.5K

How much do evening data science internships jobs pay per year?

As of Aug 23, 2026, the average yearly pay for evening 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.

What is an evening data science internship?

Evening data science internships are structured work experiences for students or entry-level professionals that take place during evening hours, allowing participants to gain practical skills in data science while managing other daytime commitments, such as classes or jobs. These internships typically involve working on real-world data projects, learning programming languages like Python or R, and collaborating with experienced data scientists. Evening internships are ideal for those seeking flexibility, hands-on experience, and an opportunity to build their resume without interfering with their daytime responsibilities.

What does an evening data science intern do?

As an Evening Data Science Intern, you'll often work on data cleaning, exploratory data analysis, and supporting ongoing projects within a data science team, usually during after-hours to accommodate your schedule. You'll have opportunities to collaborate with full-time data scientists, participate in team meetings, and contribute to real-world problem-solving using statistical and machine learning tools. This role is ideal for gaining hands-on experience with industry-standard tools like Python, SQL, and visualization platforms, while also learning how to communicate findings in a professional setting. Interns are typically mentored closely, making it a great chance to build both technical and soft skills that pave the way for future full-time roles.

What skills and qualifications are needed to thrive as an evening data science intern?

To thrive as an Evening Data Science Intern, you need a solid grounding in statistics, programming languages like Python or R, and a relevant academic background in computer science, mathematics, or related fields. Familiarity with data analysis tools such as Pandas, SQL, and machine learning frameworks, as well as experience using platforms like Jupyter Notebook, is highly valued. Strong problem-solving abilities, effective communication, and time management are crucial soft skills for balancing internship responsibilities with other commitments. These competencies enable interns to contribute meaningfully to data-driven projects while adapting to a flexible or part-time schedule.

What is the difference between Evening Data Science Internships vs Part-Time Data Analyst Positions?

AspectEvening Data Science InternshipsPart-Time Data Analyst Positions
CredentialsTypically students or recent graduates with coursework in data science or related fieldsOften requires prior experience or specific skills in data analysis
Work EnvironmentInternship programs, often in tech or finance companies, with mentorshipPart-time roles within organizations, possibly remote or on-site
Industry UsageCommon in tech, finance, healthcare sectors for training future professionalsWidespread across industries for ongoing data analysis needs

Evening Data Science Internships are designed for students or recent graduates seeking hands-on experience, often in structured programs. Part-Time Data Analyst Positions are ongoing roles requiring some experience, focusing on data analysis tasks. While internships emphasize learning and mentorship, part-time roles focus on supporting business operations. Both roles can be flexible and are valuable for career development in data fields.

More about Evening Data Science Internships jobs

What cities are hiring for Evening Data Science Internships jobs?

Cities with the most Evening 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 Evening Data Science Internships jobs?

States with the most job openings for Evening Data Science Internships jobs include:

Infographic showing various Evening Data Science Internships job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Re-posted 16 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.