Toast

Data Science Intern

InternshipHybridJammu, Jammu & Kashmir3 months21K/mo2 openingsImmediate / Rolling

About this internship

Toast is hiring a Data Science Intern in Jammu — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to data and analytics rather than a certificate-only programme. About the role As a Data Science Intern at Toast, your core focus will be turning raw data…

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Skills you'll use

PythonMachine LearningStatisticsPandasSQLData VisualisationFeature EngineeringModel EvaluationJupyterStorytelling with Data

What you'll do

Work on turning raw data into decisions people act on alongside the core team
Apply Python, Machine Learning, Statistics, Pandas to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech/M.Sc (Statistics, Maths)/MCA/MBA (Analytics) — 2026 freshers & final-year students welcome
Working knowledge of Python, Machine Learning, Statistics (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Jammu, Jammu & Kashmir

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit

About Toast

Toast operates in the restaurant saas (mnc) sector and has an active presence in Jammu. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The…

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