About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Background

Our tax automation team works closely with clients and client facing teams to build automation solutions for client use cases.  The team is a separate vertical within Tax and has tremendous growth opportunities.   The team is led by Senior Tax and Technology professionals with significant experience in Consulting firms

The opportunity is unique and will provide the candidate the experience to shape a long-term career in the technology consulting business.   

>> ROLE & RESPONSIBILITIES

  Design and implement reliable, scalable, and highly available ML-driven solutions to address complex challenges in tax technology and transformation.

  Develop model-based solutions leveraging machine learning, optimization, and simulation techniques to automate and enhance tax processes.

  Adapt and visualize solutions based on evolving tax compliance and regulatory requirements; communicate effectively through presentations, scenarios, and storytelling.

  Acquire domain knowledge in tax and finance through client discussions, industry literature, and internal resources; apply this knowledge to build ML models that align with tax transformation objectives.

  Conduct literature reviews to identify best-in-class machine learning and modeling techniques applicable to tax technology use cases; simplify and present findings to stakeholders.

  Build business cases for ML adoption in tax transformation, articulating insights in business terms familiar to tax professionals; confidently present recommendations to leadership and prepare reports, presentations, and working papers using PowerPoint, Word, and Excel.

  Collaborate with multiple business units and tax functions to create Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding clients through production deployment and operationalization.

  Work independently with tax stakeholders and senior leaders, alongside cross-functional teams, to deliver impactful ML solutions.

  Lead and mentor cross-functional teams comprising data scientists, data engineers, tax analysts, and quality assurance professionals.

  Manage client interactions, project scope negotiations, and resource allocation; resolve conflicts and balance trade-offs effectively.

  Identify opportunities for business development within tax technology and transformation; contribute to proposals with a strong ML and business lens, and communicate ideas persuasively.