Data Scientist

About the Company

KPMG in India is a leading professional services firm established in August 1993. The firm offers a wide range of services, including audit, tax, and advisory, to national and international clients across various sectors. KPMG operates from offices in 14 cities, including Mumbai, Bengaluru, Chennai, and Delhi. KPMG India is known for its rapid, performance-based, industry-focused, and technology-enabled services. The firm leverages its global network to provide informed and timely business advice, helping clients mitigate risks and seize opportunities. KPMG India is committed to quality and excellence, fostering a culture of growth, innovation, and collaboration.

About the Role

Data Science -Consultant/Senior Consultant/Manager

Job Location: Bangalore/Gurgaon

Experience: 4 -12 years

Responsibilities

Role 1: Gen AI

• 4+ years of work experience as a Data Scientist
• Design and implement GenAI solutions using LLMs, RAG frameworks, and agent-based architectures.
• Apply chunking strategies, token management, and prompt engineering to optimize model performance.
• Work with open-source GenAI tools such as Lang Chain, Llama Index, and vector databases.
• Build and manage knowledge graphs and integrate Vision APIs for multimodal AI applications.
• Deploy AI models on cloud platforms (Azure, AWS, GCP) ensuring scalability and reliability.
• Collaborate with cross-functional teams to translate business needs into AI-driven solutions.
• Proficiency in Python, SQL, and statistical/ML tools (e.g., R, Hadoop/Hive, Scala).
• Strong understanding of ML algorithms, statistical modeling, and deep learning.
• Hands-on experience with:
• Experience with AI/ML deployment on Azure, AWS, or GCP

Role 2: AI/ML

• 4+ years of work experience as a Data Scientist
• Design and implement ML models for forecasting, classification, and clustering.
• Apply deep learning techniques and fine-tune models for performance optimization.
• Perform feature engineering and statistical analysis using Python (Pandas, NumPy).
• Operationalize models using ML Ops practices and deploy on cloud platforms (Azure/AWS/GCP).
• Strong proficiency in Python, SQL, Docker, and version control tools.
• Expertise in statistics, Pandas, NumPy, and ML algorithms.
• Experience with deep learning, feature engineering, and model fine-tuning.
• Familiarity with ML Ops and AI services on Azure, AWS, or GCP.

Equal Opportunity Statement

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.