Data Science Intern

F1 Brand

Pune District, Maharashtra, IndiaFresher14m agovia LinkedIn

This job at a glance

Who can apply
Freshers
Must know
Social mediaData analysisData visualizationPythonRPandas
Work
On-site in Pune District · internship
Pay
Not stated by the employer.
Listed
12 Nov 2026 · still open

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About the Role

F1 Brand is an AI-powered creator marketplace that connects local brands with Instagram, YouTube, and digital creators for authentic, data-driven collaborations. The platform helps businesses discover suitable creators based on location, niche, audience, and engagement, while supporting creators in finding genuine brand opportunities and monetizing their influence.

The Data Science Intern Fresher will support the team in analyzing platform data to improve creator-brand matching and campaign performance.

Key Responsibilities

  • Collecting, cleaning, and organizing data from multiple sources.
  • Running exploratory data analysis.
  • Assisting in building basic predictive models and recommendation logic.

Qualifications

  • Foundational data skills such as data cleaning, exploratory data analysis, and basic data visualization.
  • Programming and analytics skills such as Python or R, along with familiarity with libraries like pandas, NumPy, or similar tools.
  • Statistical and machine learning basics, including understanding of descriptive statistics, regression, classification, and evaluation metrics.
  • Database and querying skills, including basic SQL and experience working with structured datasets.
  • Problem-solving and communication skills, such as analytical thinking, clear written documentation, and the ability to present findings to non-technical stakeholders.
  • Current enrollment in or recent graduation from a program in Data Science, Computer Science, Statistics, Engineering, or a related field.
  • Additional beneficial experience includes interest in influencer marketing or creator ecosystems, familiarity with digital platforms (Instagram, YouTube, etc.), and a willingness to learn new tools and methods quickly.

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