Data Science Specialist Internships
Data science specialist internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Technology & Software and Consulting & Professional Services, with TikTok, BNY, and MITRE among the employers posting roles now.
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This is a summer internship starting May/June and is fully on-site at the listed office location.
Company Overview
At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it a reality.
For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.
Department Overview
Remote monitoring control center (RMCC) is responsible for monitoring, optimizing and supporting field services for entire fleet of over 30,000 fuel cells deployed worldwide.
Intern Project
Interns will have a primary project during the summer internship and may work on additional projects. While the project could change by the time of the internship, we anticipate that the main project will involve the following:
Analyze fuel cell operational data, validate existing degradation detection logic, improve detection accuracy, and develop automation to streamline the workflow from detection and validation through notification, tracking, and resolution.
Position Responsibilities
- Analyze historical and real-time fuel cell operating data to identify degradation patterns and abnormal operating behavior.
- Validate existing Fuel Cell Degradation Detection algorithms using known historical events and operational data.
- Evaluate detection accuracy, including false positives, false negatives, precision, and recall.
- Develop and optimize algorithms for earlier and more reliable identification of fuel cell degradation.
- Use Python and statistical analysis to evaluate operating trends, thresholds, correlations, and anomalies.
- Develop automated data pipelines and tools to continuously monitor fleet data for potential degradation conditions. Automate workflows from detection validation notification action tracking
- resolution.
- Develop dashboards and reporting tools to monitor detected conditions and algorithm performance.
- Collaborate with RMCC operators and engineers to validate algorithm results against actual operating conditions. Document algorithms, validation methodologies, automated workflows, and performance results.
Minimum Qualifications
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field .
Desired Qualifications
- Proficiency in Python .
- Strong understanding of algorithms, data structures, and software development.
- Experience with data analysis using Pandas, NumPy, or similar tools.
- Strong analytical and problem-solving skills.
- Ability to work with large datasets and translate operational requirements into software solutions.
- Experience with SQL/NoSQL databases, REST APIs, Git, and data pipelines.
- Knowledge of statistical analysis, anomaly detection, classification, or time-series analysis.
- Familiarity with machine-learning libraries
- Experience developing automation, monitoring applications, dashboards, or engineering tools.
- Interest in energy systems, predictive analytics, reliability engineering, or AI/ML. Ability to evaluate algorithm performance using measurable metrics and test datasets.
Visa Sponsorship
Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.
EOE Statement
Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodation, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.
Salary Statement with pay range
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position is based on various factors including, but not limited to, relevant skills and experience.
The pay range for this position is $36-$50 per hour.
Salary Ranges:
$36.00 - $39.00This is a summer internship starting May/June and is fully on-site at the listed office location.
Company Overview
At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it a reality.
For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.
Department Overview
Remote monitoring control center (RMCC) is responsible for monitoring, optimizing and supporting field services for entire fleet of over 30,000 fuel cells deployed worldwide.
Intern Project
Interns will have a primary project during the summer internship and may work on additional projects. While the project could change by the time of the internship, we anticipate that the main project will involve the following:
Analyze fuel cell operational data, validate existing degradation detection logic, improve detection accuracy, and develop automation to streamline the workflow from detection and validation through notification, tracking, and resolution.
Position Responsibilities
- Analyze historical and real-time fuel cell operating data to identify degradation patterns and abnormal operating behavior.
- Validate existing Fuel Cell Degradation Detection algorithms using known historical events and operational data.
- Evaluate detection accuracy, including false positives, false negatives, precision, and recall.
- Develop and optimize algorithms for earlier and more reliable identification of fuel cell degradation.
- Use Python and statistical analysis to evaluate operating trends, thresholds, correlations, and anomalies.
- Develop automated data pipelines and tools to continuously monitor fleet data for potential degradation conditions. Automate workflows from detection validation notification action tracking
- resolution.
- Develop dashboards and reporting tools to monitor detected conditions and algorithm performance.
- Collaborate with RMCC operators and engineers to validate algorithm results against actual operating conditions. Document algorithms, validation methodologies, automated workflows, and performance results.
Minimum Qualifications
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field .
Desired Qualifications
- Proficiency in Python .
- Strong understanding of algorithms, data structures, and software development.
- Experience with data analysis using Pandas, NumPy, or similar tools.
- Strong analytical and problem-solving skills.
- Ability to work with large datasets and translate operational requirements into software solutions.
- Experience with SQL/NoSQL databases, REST APIs, Git, and data pipelines.
- Knowledge of statistical analysis, anomaly detection, classification, or time-series analysis.
- Familiarity with machine-learning libraries
- Experience developing automation, monitoring applications, dashboards, or engineering tools.
- Interest in energy systems, predictive analytics, reliability engineering, or AI/ML. Ability to evaluate algorithm performance using measurable metrics and test datasets.
Visa Sponsorship
Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.
EOE Statement
Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodation, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.
Salary Statement with pay range
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position is based on various factors including, but not limited to, relevant skills and experience.
The pay range for this position is $36-$50 per hour.
Salary Ranges:
$36.00 - $39.00Data Science Specialist Internship Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
Tips for Your Data Science Specialist Internship Search
Apply for summer roles in the fall
Large employers open summer data science intern applications as early as August and September the year before. If you wait until spring, the structured cohort programs are already closed. Set a calendar reminder at the start of each fall semester and check listings as soon as they open.
Build a portfolio before you apply
Intern hiring teams for data science roles want something concrete to evaluate, not just a list of coursework. Document two or three projects end-to-end, the question you investigated, the dataset you used, the methods you applied, and the result, and publish the code and write-up somewhere reviewers can click through.
Work your campus network alongside direct applications
Campus career fairs surface structured intern programs tied directly to your university, and professors or career center staff often know which companies recruit from your school before roles appear publicly. Apply directly to smaller companies running cohorts outside the campus circuit at the same time so you're not limited to employers with a formal university partnership.
Practice your technical screen out loud
Data science intern screens typically include a coding or analytics component covering SQL, Python, and statistical reasoning, plus a question or two testing how you frame an ambiguous problem. Practice explaining your approach out loud as you work through problems, interviewers weigh your reasoning process as much as the final answer, and talking through it in practice makes it natural under pressure.
Target structured rotational programs early
Several large employers run dedicated data science internship programs designed to train people new to the field, rotating interns across teams and pairing them with mentors throughout the summer. These programs recruit months before informal internship postings go live and fill their cohorts fast, so identify the ones that fit your background and apply in the first round.
Set your work-type filter before you start
On-site roles are 33% of the data science specialist internships listed here. Decide what you can realistically commit to, relocating for a summer, working hybrid from your current city, or staying fully remote, before you start searching on Migrate Mate, then filter by location and work type so you're only reviewing roles you can actually take.
Data Science Specialist Internships: Frequently Asked Questions
How do I get a data science specialist internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level and want something concrete to assess. A portfolio of documented analyses, linked code repositories, or published notebooks gives recruiters exactly that. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a data science specialist internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is consistent performance on real project work, available headcount on the team at the end of your term, and return-offer timing that aligns with graduation. Treat the internship as an audition worth delivering on, without counting on the outcome.
When should I apply for data science specialist internships?
Earlier than most expect. Large employers recruit summer cohorts the preceding fall, so applications for June start dates often open in September and October. Smaller companies and co-op programs post much closer to start dates, which means openings appear year-round. Checking listings regularly rather than waiting for a single season gives you the widest window.
Are data science specialist internships paid?
Most professional data science specialist internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Unpaid arrangements are uncommon at established companies and are more likely to appear in nonprofit or research settings.
What should a data science specialist internship resume include?
Lead with projects, not work history. Include two or three complete, documented projects that name the tools and methods used and link to where the work lives, a code repository, a published analysis, or a case study write-up. Add relevant coursework, keep it to one page, and put the most technically specific project first so recruiters see the evidence immediately.
Are there remote data science specialist internships?
Yes. Remote and hybrid roles make up 68% of the data science specialist internship listings here, with the rest on-site. Remote cohorts fill fast, so apply early and filter by work type to see them before they close.
What is a data science rotational internship program?
Some larger employers run structured rotational internship programs that place interns across multiple teams or business units over a single summer, exposing them to different data problems, tools, and stakeholders. These programs target people new to the field, include dedicated mentorship and cohort activities, recruit well before the summer start date, and are competitive, applying in the first wave significantly improves your chances.
Can international students get data science specialist internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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