Senior Data Scientist

What we're looking for

• Ingestion Pipeline Development: Design and maintain robust data pipelines (Python/Snowflake) to ingest data from diverse sources including RSS feeds, web scraping, and API integrations.
• Snowflake Architecture: Manage the “References” raw data table and ensure seamless data flow between the ingestion layer and the OutSystems-based curation app.
• LLM Integration & Refinement: Implement and fine-tune Large Language Models (LLMs) to categorize, summarize, and extract “Reasoning Modelling” insights from raw policy text.
• LLM Ops: Establish monitoring for model performance, hallucination detection, and iterative feedback loops based on SME curation.
• Scalability: Support the migration to a 24-hour automated cycle within the Snowflake infrastructure.

• Languages: Expert-level Python (specifically for data manipulation and AI orchestration).
• Data Engineering: Strong experience with Snowflake and building ETL/ELT pipelines.
• AI/NLP: Hands-on experience with LLM frameworks and prompt engineering.
• Web Ingestion: Proficiency in handling RSS feeds, structured/unstructured web data, and API-based data collection.
• DevOps/LLM Ops: Familiarity with version control (Git) and deploying AI models into production environments.

Perks and benefits:

• Career growth – access professional development through partnerships with Microsoft, AWS, Snowflake, Salesforce, and more.

• Project diversity – opportunity to work with global clients across sectors and technologies.

• Flexibility – adaptable working hours and remote/hybrid work options.

• Engaging community – participate in team-building events, hackathons, and CSR initiatives.

• Team-building traditions – including our annual company event.