We are seeking a highly motivated Data Scientist to join our growing Data Science and AI team within a leading mobile network operator. This role will be central to driving customer value by developing advanced machine learning models, ensuring robust data pipelines, and supporting the deployment of cutting-edge AI solutions such as Large Language Models (LLMs) and speech-to-text technologies.

The ideal candidate is both technically strong and business-minded, with a passion for delivering insights and solutions that directly impact customer experience, retention, and revenue.

Key Responsibilities

• Customer Value Modeling:

  • Develop, validate, and maintain predictive models focused on churn, lifetime value, segmentation, and customer engagement.

  • Collaborate with marketing, product, and customer experience teams to translate insights into actionable strategies.

• Data Pipelines & Infrastructure:

  • Design, build, and maintain scalable data pipelines that support analytics and machine learning workloads.

  • Ensure high data quality, reliability, and availability across structured and unstructured sources.

• KPI Monitoring & Reporting:

  • Define, track, and automate key performance indicators (KPIs) related to network usage, customer behavior, and AI model performance.

  • Build dashboards and alerts to provide real-time visibility into business-critical metrics.

• AI/ML Development:

  • Contribute to the design, training, and deployment of Large Language Models (LLMs) for customer support automation, knowledge retrieval, and internal process optimization.

  • Participate in the development of speech-to-text and natural language processing (NLP) models.

• Collaboration & Innovation:

  • Partner with engineers, data analysts, and business stakeholders to align technical solutions with business needs.

  • Stay up-to-date with advancements in AI, ML, and telecom analytics, bringing innovative ideas into practice.

For a good start you will need:

• Master’s degree (or higher) in Data Science, Computer Science, Statistics, Mathematics

• Strong proficiency in Python, SQL, and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with data pipeline tools (e.g., Airflow, Spark, Kafka) and cloud platforms (Azure, AWS, or GCP).

• Proven experience building and deploying predictive models at scale.

• Solid understanding of KPIs relevant to customer lifecycle management (ARPU, churn, NPS, LTV).

Why we think you should apply:

• You will work in an environment which allows you to grow and develop
• Hybrid work model (on-site and off-site)
• 25 days off per year
• Participation in bonus reward system 
• Health package
• Mobile phone with unlimited internet and Yettel Family tariff package
• Recreation or health program
• In-house training and development programs
• Career development opportunities

Please include your references in your CV, as reference check is an integral part of our selection process.

We hope to meet you soon!