Aman Nexus Program - Data Science

The Aman Nexus Program seeks creative individuals with 0-2 years of experience who will act as the catalyst for collaboration between our business units. This round focuses on Data Science and Agentic AI to create a seamless flow of ideas, projects, and innovation across the organization.

Responsibilities:

• Develops ETL/ELT pipelines across data sources to load structured and unstructured enterprise data.
• Builds PySpark feature pipelines on distributed clusters to process high-volume datasets efficiently.
• Maps line-of-business processes across enterprise entities to establish data lineage and core ERD models.
• Optimizes data warehouse models with engineering teams to ensure system performance and scalability.
• Implements automated data validation checks to guarantee data quality and consistency.
• Develops predictive machine learning models to solve business challenges and exceed baseline metrics.
• Evaluates model metrics against monetary KPIs to measure financial impact and operational efficiency.
• Deploys production batch scoring pipelines to deliver live model outputs to business users.
• Synthesizes model results into executive proposals to guide strategic leadership decisions

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
• Good knowledge of Python (pandas, NumPy) and SQL
• Understanding of statistics, probability and machine learning fundamentals
• Ability to turn a business question into a data problem and explain the results clearly
• Graduation project, Kaggle, internship or GitHub portfolio is a plus
• Exposure to PySpark or data visualization tools is a plus
• Team player and eager to learn