Intern - Data Science, ML

Company Description

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

Job Description

Our Data Science Internships

As an intern in the data organization at talabat, you will foster data-driven decision-making by contributing to analytical products that support our partners across the company in their complex decision-making processes.  Together with fellow data scientists and analysts, you will be working on projects that enhance our decision-making capabilities by exploring, developing, and implementing ideas to improve our experimentation and product data science solutions.
 

We seek to offer a personalized experience for interns that mimics what it is like to actually work at Talabat. We match qualified interns with projects and teams based on their interests and skill sets, and fully embed them within those teams for the duration of the internship.
 

What's on your plate?

• You will learn about real-life, data-driven decision-making challenges at Talabat, and help us develop innovative solutions.
• You will learn broadly about how the Data organization at Talabat helps optimize all aspects of our business. 
• You will collaborate with impressive colleagues in Data Science & Engineering.
• You will practice your skills manipulating and conducting inference on large-scale data sets. 
• You will have the opportunity to present your work internally within Talabat. 

Qualifications

Must-Have Qualifications:

• Recent graduate or currently pursuing a graduate degree in a quantitative field (e.g. Computer Science, Statistics, Economics, Software Engineering).
• Experience programming in R and/or Python.
• Curious, self-motivated, and excited about solving open-ended challenges.
• Great communication skills, both oral and written. 
• Solid SQL skills and strong business acumen.
• Experience with version control systems such as git.
• Strong hands-on experience with ML frameworks (PyTorch or TensorFlow).
   

Nice-to-Have Qualifications:
These are not required but would be a strong plus.

• Experience with GCP Ecosystem (e.g., BigQuery, Vertex AI).
• Familiarity with retrieval/ranking models and losses.
• Exposure to ML lifecycle tools (e.g., feature stores, model registries, experiment tracking, model serving).
• Understanding of how to scale training/inference efficiently (e.g., data loaders, distributed training, quantization).