Data Science Intern

Zagreb (croatia)entry

Data ScienceData & AI

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Quick Summary

Key Responsibilities

Build production-grade machine learning systems for large-scale telecommunications data analysis. Work with Python, Jupyter Notebooks, and industry-standard libraries including Pandas, Polars,

Requirements Summary

Have a GitHub profile with projects to show. Participated in student projects, Kaggle competitions, Hackatons, workshops or other. Already participated in some internship programs.

Technical Tools

Data ScienceData & AI

Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and communicates.

As employees, we take pride in contributing to the world’s largest and only full-stack cloud communication platform. But it’s not just what we do, it’s how we do it: with curiosity, passion, and a whole lot of collaboration.

We operate with an AI-first mindset, embedding intelligent tools into our daily workflows to work smarter and more efficiently. Every role here benefits from and contributes to this approach.

If you're looking for meaningful work and challenges that grow you in a culture where people show up with purpose, this is your opportunity.

Let’s build what’s next, together.

Make a first step towards your career in data science. Gain practical experience and learn from experienced mentors.
Being a part of Infobip Engineering department means working on an in-house developed product and delivering solutions on a global level. If you are a student of higher or final year of studies in the field of IT, join our data science internship program that starts in February 2027 and get a chance to land your first job at Infobip!

Responsibilities

~1 min read

→Build production-grade machine learning systems for large-scale telecommunications data analysis.
→Work with Python, Jupyter Notebooks, and industry-standard libraries including Pandas, Polars, Prophet, Scikit-Learn, sentence-transformers, and Darts for time series forecasting and pattern recognition.
→Query and analyze massive datasets from distributed systems including ClickHouse clusters, PostgreSQL databases, DuckDB and Elasticsearch, learning end-to-end data engineering workflows.
→Contribute to research-to-production pipelines: from exploratory data analysis in notebooks to deploying FastAPI/Flask microservices that process millions of events daily.
→Write production-ready, testable code following clean code principles, with emphasis on research reproducibility and service reliability in data science applications.
→Deploy your solutions using modern tools like uv/poetry for dependency management, Git for version control, Docker for containerization, and Kafka for real-time event streaming.

You are currently studying in IT-related field (eg. Software engineering, computer science, mathematics) as a final-year undergraduate (MA) or a final-year undergraduate (BA) with no professional experience.
You are interested to understand both the technical and business sides of data.
Available to start with internship on February 8th, 2027
You hold valid student rights from „Studentski Centar“ throughout the entire internship period (6 months).

Requirements

~1 min read

Have a GitHub profile with projects to show.
Participated in student projects, Kaggle competitions, Hackatons, workshops or other.
Already participated in some internship programs.
Are fluent in English, speak at a conversational level.
You can work a minimum of 30 hours per week.

Application deadline (mid of December)
Imocha online testing (By the end of December)
Interviews and selection process feedback (January)
Start of internship program (February 8th)
Orientation week in Zagreb Infobip campus (February 8th - 19th)
Working with the mentor and within a team (February - August)
End of the Internship program (August)

Orientation week with all interns and a personalized onboarding plan.
Mentor and team support.
You will get hands-on experience with the latest AI tools and take part in dedicated AI training sessions designed to help you build skills for the future of software engineering.
Being a part of a growing company in a growing industry – we challenge you not to grow!
Work with people from all over the world. We put the “global” in globalization.
Possibility to stay on after the internship, depending on your performance and business needs.