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Data Science Startup Internship Jobs (NOW HIRING)

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... Startup or hypergrowth company experience Experience with large-scale data systems Strong people ... established data science team Work across machine learning, modeling and production systems ...

Internship Description The Data Science Intern will support a research project using paired genomic and health data from gorillas and meerkats to identify genetic predictors of health conditions ...

Posted today

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

This internship offers a unique opportunity to stretch beyond the classroom, applying technical ... Collaborate across Data Science, MLOps (GenAI) Engineering, Platform Engineering, Data Stewardship ...

New

Internship 2027 Dates: June 1, 2027-August 13, 2027 About the Team: * Personal Genome Diagnostics ... The Bioinformatics and Data Science team is a multidisciplinary team of engineers and scientists ...

Posted today

This internship offers a unique opportunity to stretch beyond the classroom, applying technical ... Collaborate across Data Science, MLOps (GenAI) Engineering, Platform Engineering, Data Stewardship ...

New

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

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 ...

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Data Science Startup Internship information

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

As of Sep 11, 2026, the average hourly pay for data science startup internship in the United States is $22.50, 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 startup internship?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What types of projects or tasks can I expect to work on during a data science startup internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive in a data science startup internship, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

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States with the most job openings for Data Science Startup Internship jobs include:

Infographic showing various Data Science Startup Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Summer 2027 Data Science Intern

Washington, DC • On-site

$25/hr

Full-time, Temporary, Internship

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

The Nuclear Company is the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.
We operate with an AI-first mindset. Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.
We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before. Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values-Trust, Responsibility, Unity, Scrappiness, and Tenacity-guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.
About the role
The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, and the climate.
You will turn data into decisions that move a nuclear build forward. As a Data Science Intern, you do the full applied data science job on NOS: frame the question, wrangle the data, build and validate models, and put the answer in front of the people who act on it. You will work on forecasting and decision analysis for megaproject cost and schedule, extend the NOS ontology and data model, and build the analyses and dashboards leaders use to make real calls. You work next to full-time data scientists and ship work that reaches production.
This is a 12-week Summer 2027 internship (May to August), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for interns outside the DC metro area.
Responsibilities
  • Frame business and engineering questions with stakeholders, then source, clean, and explore the data needed to answer them.
  • Build and validate models (forecasting, classification, anomaly detection, decision analysis) for megaproject cost, schedule, and risk.
  • Engineer features and extend the NOS ontology and data model across regulatory, supply chain, cost, and schedule domains.
  • Build data pipelines across Palantir Foundry, AWS GovCloud, and more.
  • Design metrics, dashboards, and analyses that operators, engineers, and executives use to make decisions, and communicate findings clearly.

Required Experience
  • Currently pursuing a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field. Expected graduation between December 2027 and June 2028, and returning to school after the internship.
  • Strong Python and the data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL.
  • Foundation in statistics and probability, and a track record of completed data analysis (course, personal, research, or prior internships).
  • This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. Person status (U.S. citizen or lawful permanent resident) is required, and TNC does not provide visa sponsorship for these roles.
  • Willing and able to work on-site in Washington DC, five days a week, for the full 12-week program.

Preferred Experience
  • Data visualization and dashboarding; exposure to cloud data warehouses.
  • Forecasting, time-series, or experimental design.
  • Coursework or project experience with Palantir Foundry or AWS.
  • Interest in energy, national security, industrial software, or regulated industries.
  • Familiarity with nuclear engineering concepts (not required, we teach the domain)

Benefits
  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays

Estimated Starting Salary Range
The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.
EEO StatementThe Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
Recruiting Fraud Alert
Your safety is our priority. We want to ensure your job search stays secure. Please note that the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page.