JD- Data Scientist (Statistics + LLM + AWS)

Role Summary:

We are looking for a Data Scientist to build and enhance the Pricing Prediction AI module for the GTCS platform. The role focuses on developing predictive models and analytical solutions that recommend optimal bid prices that satisfy business requirements for global tenders using historical pricing, win/loss data, and market signals.

Key Responsibilities

Develop machine learning models for pricing prediction and price band recommendations for tender submissions.

Analyze and prepare data from GTCS, SAP, Data Cloud, Snowflake, and in-house pricing tools.

Ensure explainable and auditable AI outputs aligned with regulatory and compliance needs

Work with AI/ML engineers to integrate models into GTCS AI agents for real time pricing recommendations.

Required Experience

5+ years of experience as a Data Scientist.

Strong hands-on skills in Python and ML libraries (e.g., scikit learn, XGBoost).

Strong experience with agentic frameworks and technologies (e.g. MCP, langchain, Bedrock).

Experience with large enterprise datasets and analytics platforms (Data Cloud, Snowflake, or similar).

Experience in measuring the impact of AI products both during R&D and live.

Nice to Have

Experience with AWS AI and agentic tools (e.g. Bedrock, sagemaker).

Experience in pricing, revenue management, or tender analytics.

Exposure to regulated environments such as pharma or healthcare.