Data Scientist
Core
Develop, train, and optimize machine learning and AI models for innovative use cases within the social insurance environment.
Role type
Machine Learning Engineer (Social Insurance Domain)
Builds
Production ML models and data pipelines for social insurance applications
Domain
Social Insurance / Public Sector
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, AI, Data Modeling, Data Quality Assurance, Data Pipeline Design, MLOps, Software Engineering
Preferred skills
Java, Kotlin, Linux, Docker, CI/CD, Git, Data Science/ML/AI experience
Technologies
Scikit-Learn, PyTorch, OpenAI, LangChain
Responsibilities
Develop, train, and optimize ML and AI models; Conceptualize and model data pipelines and applications; Identify automation and optimization potentials; Ensure data quality, performance, and stability of data solutions.
Seniority
Mid-Senior, hands-on IC