Lead Data Science Engineer

Key Responsibilities:

• Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting.

• Develop and launch secure APIs and DaaS solutions.

• Deploy production-ready ML models and manage their lifecycle.

• Promote data governance and quality standards across the platform.

• Collaborate with cross-functional teams to translate business challenges into technical solutions.

Tech Stack Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible

Ideal Candidate Profile:

• Significant experience as a Data Science or ML Engineer, with leadership responsibilities.

• Strong Python skills and experience with cloud-based data platforms (preferably Azure).

• Proven success deploying ML models into production.

• Solid understanding of data privacy, governance, and API development.

• Excellent communication skills and stakeholder engagement abilities.

Bonus Points For:

• Experience in insurance or financial services.

• Familiarity with Docker, Kubernetes, or infrastructure-as-code tools.

JBRP1_UKTJ