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Data Science Summer Intern Jobs in Indiana (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Freddie Mac

$14.25 - $19.25/hr

... Capital Markets, Computer Science, Data/Quant Analytics, Economics, Finance, Risk Management ... Freddie Mac -Our intern and analyst/full-time programs -Comprehensive rewards including ...

New

Freddie Mac

$14.75 - $19.75/hr

... Capital Markets, Computer Science, Data/Quant Analytics, Economics, Finance, Risk Management ... Freddie Mac -Our intern and analyst/full-time programs -Comprehensive rewards including ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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All JobsData Science Summer Intern JobsData Science Summer Intern Jobs in Indiana

Data Science Summer Intern information

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$11

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$40

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

As of Aug 11, 2026, the average hourly pay for data science summer intern in Indiana is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.32 per hour, depending on experience, location, and employer.

What does a Data Science Summer Intern do?

A Data Science Summer Intern typically works with a team of data scientists and analysts to help collect, clean, and analyze data. They may assist in building machine learning models, visualizing data, and generating reports to provide actionable insights for the organization. Interns often gain hands-on experience with programming languages like Python or R, as well as tools such as SQL and data visualization software. Their work supports larger projects and helps them develop practical skills for a career in data science.

What skills and qualifications are needed to thrive as a Data Science Summer Intern?

To thrive as a Data Science Summer Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by coursework or projects in data science or related fields. Familiarity with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and version control systems (e.g., Git) is typically expected. Curiosity, problem-solving ability, and effective communication help interns stand out when tackling real-world data challenges and presenting findings. These skills and qualities are crucial for extracting actionable insights from data and contributing meaningfully to team projects.

How do Data Science Summer Interns typically collaborate with other team members during their internship?

Data Science Summer Interns often work closely with data scientists, analysts, and engineers as part of cross-functional project teams. They usually participate in regular meetings, share progress updates, and seek feedback from mentors or supervisors. Interns may be assigned specific tasks within larger projects, such as data cleaning, exploratory analysis, or model development, and are encouraged to ask questions and contribute ideas. This collaborative environment helps interns learn from experienced professionals while developing both technical and communication skills.

Can I get an internship in data science?

Data Science Summer Internships are available at many companies for students or recent graduates with skills in programming, statistics, and data analysis. Applicants typically need a background in relevant fields, proficiency in tools like Python or R, and may be required to complete technical assessments or interviews. These internships usually last several weeks during the summer and provide hands-on experience in data-driven projects.

What is the difference between Data Science Summer Intern vs Data Analyst Summer Intern?

AspectData Science Summer InternData Analyst Summer Intern
Required CredentialsTypically pursuing or holding a degree in Data Science, Computer Science, or related fieldsUsually pursuing or holding a degree in Statistics, Business, or related fields
Work EnvironmentTech companies, startups, research labs with focus on data modeling and machine learningBusiness firms, marketing agencies, finance companies focusing on data reporting and analysis
Employer & Industry UsageCommon in tech, finance, healthcare industriesPrevalent in retail, finance, consulting sectors

While both roles involve working with data, a Data Science Summer Intern typically focuses on building models, machine learning, and advanced analytics, whereas a Data Analyst Summer Intern concentrates on data reporting, visualization, and insights. The choice depends on your career interests in technical modeling versus data interpretation.

What are the most commonly searched types of Data Science Summer jobs in Indiana? The most popular types of Data Science Summer jobs in Indiana are:
What are popular job titles related to Data Science Summer Intern jobs in Indiana? For Data Science Summer Intern jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Summer Intern jobs in Indiana look for? The top searched job categories for Data Science Summer Intern jobs in Indiana are:
What cities in Indiana are hiring for Data Science Summer Intern jobs? Cities in Indiana with the most Data Science Summer Intern job openings:
Data Science Summer Intern jobs near you
Infographic showing various Data Science Summer Intern job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $44,542 per year, or $21.4 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Terre Haute, IN • On-site

Other

Re-posted 20 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply