Data Science Intern at Setu

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Data Science Intern at Setu | HireDoor

About the role

Setu by Pine Labs is hiring Data Science Interns to work on real-world machine learning and data science problems in the FinTech domain. Interns will use Python, SQL, and NLP techniques to build impactful solutions while collaborating with experienced engineers. Outstanding performers may receive a Pre-Placement Offer (PPO). 📩 HOW TO APPLY: Send your updated resume to: soumyajit@setu.co CC: shilpa.chavan@setu.co Subject: Data Science Intern

Responsibilities

Build machine learning and NLP solutions
Analyze and process large datasets using Python and SQL
Work on real-world FinTech problems
Collaborate with cross-functional engineering teams
Take ownership of assigned projects and deliver high-quality solutions

Requirements

Strong proficiency in Python and SQL
Interest in Machine Learning, NLP, and FinTech
Strong analytical and problem-solving skills
Eagerness to learn and take ownership
Good communication and collaboration skills

Benefits

₹50,000 monthly stipend
PPO opportunity for top performers
Hands-on experience with real-world ML projects
Mentorship from experienced engineers
Exposure to the FinTech industry

Required Skills

PythonSQLMachine LearningNLPData ScienceFinTechData AnalysisProblem Solving

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About Setu

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Frequently Asked Questions

What is the salary for Data Science Intern?

The listed salary for Data Science Intern at Setu is ₹50,000/month.

Where is this Data Science Intern role located?

This position is based in Bengaluru, Karnataka, India (On-site).

What experience is required for Data Science Intern?

Candidates are expected to have Freshers of experience for this role.

How do I apply for Data Science Intern at Setu?

Send your application by email using the address shown in How to apply on this HireDoor job page for Data Science Intern at Setu.

What are the key benefits for Data Science Intern?

Key benefits include: ₹50,000 monthly stipend; PPO opportunity for top performers; Hands-on experience with real-world ML projects; Mentorship from experienced engineers; Exposure to the FinTech industry.