Innovapptive

Data Science Intern

InternshipIn OfficeKolkata, West Bengal5 months29K/mo3 openingsImmediate / Rolling

About this internship

Innovapptive is hiring a Data Science Intern in Kolkata — a hands-on, mentor-led internship built for 2026 freshers and final-year students (0 years of experience) who want to build real software and grow fast in a modern engineering team. As a Data Science Intern, you will work closely with…

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Skills you'll use

PythonStatisticsMachine LearningPandasSQLData Visualization

What you'll do

Build, test and ship real features using Python, Statistics, Machine Learning, Pandas
Write clean, maintainable code and participate in code reviews
Work on extracting insights and building predictive models from data
Debug issues and improve performance and reliability
Collaborate with engineers, designers and product on live projects

Who can apply

Pursuing or recently completed B.E./B.Tech/BCA/MCA/B.Sc (CS/IT) or a related discipline — 2026 freshers & final-year students welcome
Working knowledge of Python, Statistics, Machine Learning (or a strong willingness to learn them)
Solid programming fundamentals and problem-solving ability
Eagerness to learn, take feedback and collaborate in a team
Based in or willing to work from Kolkata

Perks & benefits

Hands-on with a modern tech stackPre-Placement Offer (PPO) opportunityFlexible working hoursInternship CertificateLetter of Recommendation

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Technical discussion with the engineering hiring manager
3Team-fit / behavioural interview with the team
4HR discussion — stipend, start date, expectations and offer

About Innovapptive

Innovapptive is a enterprise software / connected worker company with a strong engineering culture and a growing presence in Kolkata. The team believes the best way to grow is by building, which is why interns here get real ownership of code and projects from day one rather than being kept on the…

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