Data Scientist Senior - AI

Responsibilities:

• Design, develop, validate, and evolve models for pattern detection, anomaly identification, risk classification, and predictive analysis.
• Develop and operationalize AI solutions for automation, detection of deviations, and evaluation of large data volumes.
• Participate in the full model lifecycle, ensuring performance, stability, traceability, and business alignment.

Technical Requirements:

• Strong background in Data Science and Analytics, with proficiency in Python, SQL, and Apache Spark/PySpark.
• Experience with Machine Learning, model development, validation, and monitoring in cloud environments.
• Hands-on knowledge of Databricks, Generative AI, LLMs, and agent orchestration.

Desired Skills:

• Experience with MLflow, MLOps, LLMOps, vector databases, and NLP.
• Knowledge of Azure, Lakehouse architecture, data engineering, and ETL/ELT pipelines.
• Familiarity with AI governance, model explainability, and observability in regulated environments.

Benefits:

• Health and dental insurance, meal and food voucher, and childcare assistance.
• Extended parental leave, gym partnership (Wellhub), profit sharing, and life insurance.
• Continuous learning platforms, language learning, and discount clubs.