Job Summary

We are seeking a highly skilled Data SME to support Billing Payment analytics and drive business-side data requirements for a strategic AI initiative. The role will act as the primary subject matter expert for billing data, collaborating closely with Data Engineering and AI teams to build AI-driven solutions that analyze customer communications, compare promised offers with billing outcomes, identify discrepancies, determine root causes etc.

Requirements

Technical Skills

- 8+ years of experience in Data Engineering, Data Science.
- Proven experience working with large scale billing and payment data environments.
- Advanced expertise in SQL and Python.
- Solid experience in Data Modeling (Conceptual, Logical, and Physical Models).
- Expertise in Data Warehousing technologies, specifically Teradata and Google BigQuery.
- Hands on experience building and supporting ETL/ELT pipelines.
- Experience extracting, cleansing, transforming, and analyzing complex billing and payment data.




- Strong understanding of enterprise data ecosystems and data architecture.
- Familiarity with AI/ML data requirements, feature engineering, and model-ready datasets.
- Experience bridging technical and business requirements for AI initiatives.

Domain Expertise

- Strong knowledge of Billing Payment systems, processes, and data structures.
- Experience working with customer billing, invoices, payments, promotions, and offer validation.
- Ability to translate billing business logic into data and AI solutions.

Job Type: Permanent

Location: Bengaluru

Experience: 8 to 10 years

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Sceintist - Billing and Payment domain (Bengaluru)
🏢 BCE Global Technology Centre
📍 Bengaluru