Lead Data Scientist – Finance & Accounting Automation

About the role

The Data Scientist – Record to Report will focus on designing, developing, and maintaining AI-driven solutions that support and enhance R2R processes. This role is primarily hands-on and technical, with a strong emphasis on machine learning, data engineering, and applied AI. The role does not own accounting processes, close execution, controls, or SOX responsibilities.

What you'll do

• Design, build, deploy, and maintain AI/ML solutions supporting R2R use cases such as anomaly detection, predictive analytics, and intelligent data validation
• Develop Python-based data pipelines for ERP and finance data sources
• Build and maintain ML models, LLM-powered tools, or AI agents augmenting R2R productivity
• Ensure solutions are scalable, explainable, well-documented, and production-ready
• Monitor solution performance, data quality, and model drift; continuously improve models post-deployment

What you need

• 4–6 yrs of experience
• Accounting
• Machine learning
• Python
• Statistics
• ETL
• LLMs
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Record to report
• SOX
• ERP