1

Evening Data Science Internships Jobs (NOW HIRING)

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 ...

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 ...

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and ...

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

next page

Showing results 1-20

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 Jul 13, 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 are evening data science internships?

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 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.

What are the key skills and qualifications needed to thrive as an Evening Data Science Intern, and why are they important?

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 are the typical responsibilities and learning opportunities for an Evening Data Science Intern?

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.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA โ€ข On-site

Full-time, Internship

Re-posted 24 days ago


Job description

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 just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.
Program Details:
Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.
This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.
  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:
Interns will contribute to real data innovation projects involving:
  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.
Mentorship & Learning
Interns will work closely with experienced staff and technical mentors with expertise in:
  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:
  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:
We welcome applications from:
  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.
Strong candidates typically demonstrate:
  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.