Data Science Intern

Onelot ·

Pay

Not listed

Setting

On-site

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We’re looking for a Data Science Intern to help us build the data backbone that powers OneLot’s market insights. In this role, you’ll work on developing and maintaining the scrapers that collect used car market data at scale, ensuring our team always has accurate, timely information to guide product decisions. You’ll get hands-on experience working with real-world datasets, optimizing data pipelines, and collaborating with engineers to turn raw data into meaningful intelligence.

This internship is perfect for someone who enjoys solving technical problems, loves working with Python, and wants to strengthen their foundation in data engineering, analytics, and large-scale scraping systems.

What you’ll be doing:

Develop, run, and maintain web scrapers used to collect market data

Monitor scraper performance and ensure timely, reliable data extraction

Optimize scrapers for speed, efficiency, and large-scale workloads

Process and analyze scraped datasets to uncover meaningful insights

Prepare and share reports with internal teams

Work with engineers and cross-functional teams to understand data needs and improve data workflows

What we’re looking for:

Currently pursuing or recently completed a degree in Computer Science, Data Science, Software Engineering, or similar

Familiarity with Python and scraping tools such as BeautifulSoup, Scrapy, or Selenium

Basic SQL knowledge for managing and querying datasets

Experience in data cleaning, processing, and visualization

Understanding of APIs and data extraction techniques

Strong analytical and problem-solving skills

Able to work independently and deliver tasks on time

Listed by Onelot for a position based in the United States. Employers on this board attest they are hiring domestically.