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Data Science Unpaid Intern Jobs in Rochester, NY

MegazoneCloud US

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work as a 'force multiplier' within our cross-functional teams, partnering with data science ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...

MegazoneCloud Global

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... from intern to executive. Qualifications : Required : • 3-5+ years of professional data ...

MegazoneCloud

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Work as a "force multiplier" within our cross-functional teams, partnering with data science ... from intern to executive. What You Bring (Requirements) * 3-5+ years of professional data ...

Reli Group Inc

Power BI Intern

Rochester, NY · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Geneseo, NY · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

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Data Science Unpaid Intern information

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How much do data science unpaid intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science unpaid intern in Rochester, NY is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as a data science unpaid intern?

As a Data Science Unpaid Intern, you can expect to assist with data cleaning, exploratory data analysis, and building simple predictive models under the supervision of experienced data scientists. You might work on tasks such as processing large datasets, developing data visualizations, and supporting project documentation. Interns often collaborate with cross-functional teams on real business problems, gaining exposure to the end-to-end analytics workflow. This hands-on experience not only strengthens your technical abilities but also provides valuable insight into the day-to-day work environment in the data science field.

What are the key skills and qualifications needed to thrive in the data science unpaid intern position, and why are they important?

To thrive as a Data Science Unpaid Intern, a strong grounding in statistics, programming (commonly Python or R), and foundational knowledge of machine learning concepts is essential, typically supported by coursework or a degree in a quantitative field. Familiarity with data analysis tools such as pandas, NumPy, Jupyter notebooks, and experience with data visualization libraries like Matplotlib or Tableau are highly valued. Effective communication, eagerness to learn, and attention to detail help interns collaborate within teams and quickly adapt to new challenges. These skills are critical for contributing to real-world data projects and acquiring practical experience that prepares interns for future data science roles.

What is a data science unpaid intern?

A Data Science Unpaid Intern job is a temporary, unpaid position where individuals gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns work on real-world projects, assisting with data cleaning, visualization, and algorithm development under the guidance of experienced professionals. This role provides valuable exposure to industry tools like Python, SQL, and Tableau, helping interns build their resumes and enhance their technical skills. Although unpaid, it offers networking opportunities and practical experience that can be beneficial for securing future paid positions in data science.

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Data Science Unpaid Intern jobs near you
Infographic showing various Data Science Unpaid Intern job openings in Rochester, NY as of August 2026, with employment types broken down into 50% Internship, 25% Full Time, and 25% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $34,963 per year, or $16.8 per hour.

Data Engineer

MegazoneCloud US

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating with cross-functional teams to tackle complex data challenges.
Responsibilities:
• Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
• Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
• Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
• Collaborate and multiply: Work as a 'force multiplier' within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
• Be a flexible builder: Embrace a 'builder' mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
Qualifications:
Required:
• 3-5+ years of professional data engineering experience.
• 2-3+ years of hands-on experience with Python.
• 2-3+ years of hands-on experience with SQL.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
AWS, DataBricks, Snowflake and GCP Partner of the Year! AI-Native Transformation, Application Modernization, Amazon Connect, Cloud Migrations, Data Analytics and Insights. Founded in , the company is headquartered in Fairport, New York, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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