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Entry Level Data Science Intern Jobs in New York

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Entry Level Data Science Intern information

What types of projects can an entry level data science intern expect to work on, and how are tasks typically assigned?

As an Entry Level Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and assisting with building predictive models under the guidance of senior data scientists. Tasks are typically assigned based on your skill level and learning objectives, often starting with foundational work like preparing datasets or automating routine analyses. You'll regularly collaborate with other interns, data analysts, and engineers, participating in team meetings and code reviews to ensure alignment and progress. This collaborative environment helps you build your technical skills while gaining exposure to real-world business problems.

What does an entry level data science intern do?

An Entry Level Data Science Intern assists data science teams by collecting, cleaning, and analyzing data under supervision. Typical tasks include working with spreadsheets, running basic statistical analyses, and helping prepare reports or visualizations. Interns may also support ongoing projects by writing simple code, documenting findings, and learning to use industry-standard tools like Python, SQL, or R. This position is designed to help individuals gain practical experience and develop foundational data science skills.

What are the key skills and qualifications needed to thrive as an entry level data science intern, and why are they important?

To thrive as an Entry Level Data Science Intern, you need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or relevant projects. Familiarity with tools like Jupyter Notebook, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn) is commonly expected. Strong problem-solving skills, curiosity, and clear communication help you collaborate and convey insights effectively. These skills enable interns to contribute meaningfully to team projects, learn quickly, and translate data into actionable results.

How to get a first internship in data science?

To secure a first data science internship, candidates should build foundational skills in programming languages like Python or R, learn data analysis and visualization tools, and work on relevant projects or competitions. Gaining familiarity with machine learning concepts and obtaining certifications can also improve chances, along with applying to internships through online platforms and networking with professionals.
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Entry Level Data Science Intern jobs near you
Infographic showing various Entry Level Data Science Intern job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Scientist Intern (2025)

Whiterabbit.ai

Edison, NJ

Full-time

Re-posted 18 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