Whether you’re just starting out or bringing years of experience, at Yettel we believe the right role isn’t just about responsibilities — it’s about growth, impact, and being part of something meaningful.
Take a look — this might be the opportunity you've been waiting for!
The impact you’ll make:
Join our growing Data Science team at the forefront of digital transformation in the telecom industry. We're evolving from traditional on-premise batch workflows to a modern, scalable cloud-native stack on Google Cloud Platform (GCP) and Vertex AI.
As a Data Scientist, you’ll play a key role in designing, building, and deploying machine learning solutions that deliver tangible business value—from enhancing customer experience and network analysis to developing intelligent systems like virtual assistants using cutting-edge AI technologies.
What you’ll do:
- Develop and deploy machine learning models to solve real-world telecom challenges (e.g. churn prediction, anomaly detection, demand forecasting).
- Design and implement custom solutions or leverage off-the-shelf AI technologies to address use cases such as Retrieval-Augmented Generation (RAG), virtual assistants, chatbots, call analytics, OCR, and more.
- Assess emerging technologies in AI space and support democratization of AI in the organization.
- Build and automate pipelines using Vertex AI, BigQuery, and other services
- Analyze large-scale datasets to extract actionable insights.
- Collaborate with business stakeholders to apply data-driven solutions to real-world challenges, supporting Yettel’s strategic initiatives through analytical insights and machine learning.
- Work in a collaborative team environment and share knowledge with other data scientists.
To thrive in this role, you’ll need:
- Programming & Data Handling: Proficiency in Python and SQL for building data pipelines, models, and end-to-end solutions.
- Data Science & ML Techniques: Strong foundation in statistical modeling, including supervised and unsupervised learning, forecasting, and segmentation.
- Machine Learning Lifecycle: Practical understanding of the full ML lifecycle — from experimentation and training to deployment and monitoring.
- Tool & Library Proficiency: Hands-on experience with libraries such as pandas, scikit-learn, TensorFlow, and other Python-based data science tools.
- Curiosity & Continuous Learning: Passion for exploring emerging technologies and integrating innovative approaches into problem-solving.
- Team Collaboration & Knowledge Sharing: Ability to work cross-functionally, support peers, and contribute to a collaborative team environment.
- Clear Communication: Confidence in explaining technical concepts to both technical and non-technical audiences.
- Cloud & MLOps (a plus): Familiarity with platforms like Google Cloud (GCP), Vertex AI, BigQuery, Airflow, and principles of MLOps for scalable ML deployment.
- Version Control & CI/CD (a plus): Knowledge of Git best practices and continuous integration/delivery workflows.
- API Development & Integration (a plus): Experience building applications and integrating APIs using frameworks like FastAPI or Flask.
- Deep Learning & Unstructured Data (a plus): Exposure to deep learning architectures (e.g. CNN, RNN, Transformers) and handling of unstructured datasets.
- NLP & LLMs (a plus): Understanding of Natural Language Processing and experience with Large Language Models, including fine-tuning, RAG, and orchestration frameworks like LangChain.
- Clean Code & Software Principles: Ability to write modular, testable, and maintainable code using object-oriented principles.
- Fluent English Proficiency: Strong written and spoken communication skills in English.
What’s in It for you:
Financial & Time-Off Perks
- 25 days of paid leave (birthday included!)
- +4 bonus days if you use all your time off
- 1-month sabbatical every 5 years
- Annual bonus based on performance
- Food & gift vouchers every month
- Travel allowance
Mobile & Tech Goodies
- Unlimited mobile & internet
- Exclusive discounts on devices and accessories
Health & Wellbeing
- Premium health insurance
- Wellbeing support: in-house psychologist, sports at the office, expert talks
- Discounted Multisport or Coolfit cards
Growth & Learning
- Top online learning platform access
- Supportive team and manager
- Your ideas shape what we build
Purpose & Culture
- Do work that matters — we create real impact
- We're serious about sustainability and social responsibility
A Tip from Us:
- AI is great, but this part is all you! We encourage AI at work, but for your application, we’d love to hear your own thoughts, experiences, and motivation.
- You don’t need to tick every box! If this role excites you, go for it! We value potential over perfection.
Join Yettel now by sending us your up-to-date CV.
Only shortlisted applicants will be contacted with information about next steps of our selection process.
Applicants are treated with strict confidentiality following the applicable personal data protection legislation.