Data Scientist

We are seeking a highly motivated Data Scientist to join our growing Data Science and AI team within a leading telecommunications 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.

What we will expect from you:

• 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:

• Bachelor degree 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.