Senior Data Scientist

About the role

DenizBank is expanding its Data Science team and is looking for a Senior Data Scientist to drive data‑driven transformation across the bank. You will work on analytical models, machine‑learning pipelines and generative AI solutions that create measurable business value.

Key responsibilities

• Develop and deploy end‑to‑end machine learning models for marketing use cases such as churn prediction, cross‑sell, propensity, customer lifetime value and dynamic pricing.
• Design, implement and monitor LLM‑powered applications, multi‑agent systems and retrieval‑augmented generation (RAG) architectures supported by knowledge graphs and ontologies.
• Contribute to architectural and strategic decisions for integrating LLM‑based solutions into banking processes.
• Collaborate with cross‑functional teams to translate business challenges into actionable data‑science projects and define performance metrics (e.g., Gini, F1‑score) and ROI indicators.
• Mentor junior data scientists, conduct code reviews and help raise code‑quality and model‑development standards.

Required profile

• Bachelor’s degree in an engineering discipline.
• At least 4 years of professional experience as a Data Scientist or Senior Data Scientist.
• Hands‑on experience building, validating and deploying statistical and machine‑learning models.
• Strong English communication skills, both written and spoken.

Required skills

• Python programming.
• SQL for data extraction and manipulation.
• Data‑processing libraries: pandas, NumPy.
• Machine‑learning libraries: scikit‑learn, XGBoost, LightGBM.