Data Scientist

2 weeks ago

Belgrade, Central Serbia Yettel Full time €30,000 - €60,000 per year

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

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