About the role

Job Title: Data Scientist

Business Unit	Capability Hubs
Service Line	Transformation
Location	Bangalore, Pune, Kochi, Kolkata

About Us

Job Details

Proposed designation	Associate Director
Role type	Individual contributor
Reporting to	Director
Geo to be supported	KPMG Delivery Network (KDN)

KPMG AI Foundry is dedicated to leading the way in Gen AI research and development. With a commitment to groundbreaking research and collaborative innovation, KPMG Delivery Network (KDN) is set to leverage new technology in solving business problems for KPMG.

Roles & Responsibilities

KPMG Delivery Network (KDN) is seeking an experienced Data Scientist with a strong background in Generative AI, Machine Learning (ML), Natural Language Processing (NLP), and other AI technologies to join our dynamic KDN AI Foundry team. As a Data Scientist, you will play a crucial role in developing advanced AI models and solutions that drive innovation and provide actionable insights for KPMG’s global network. This role requires a deep understanding of AI technologies, developing methodologies, a strong ability to work with large datasets, and the skills to translate complex business problems into AI-driven solutions. This role offers a unique blend of innovation and technical collaboration, allowing you to shape the future of AI-driven solutions within a global professional services network.

Key Responsibilities Include:

AI Model Development:
• Design, develop, and implement machine learning models and algorithms that address specific business challenges, leveraging Generative AI, NLP, and other AI technologies.
• Develop and fine-tune advanced AI models, including deep learning models, to improve performance and accuracy across various use cases.
• Experiment with and apply state-of-the-art techniques in Generative AI (e.g., GPT, GANs) to create innovative solutions for complex problems.
NLP and Text Analytics:
• Develop NLP models for tasks such as sentiment analysis, entity recognition, text summarization, and language translation.
• Work on text processing pipelines, including tokenization, stemming, lemmatization, and vectorization techniques.
• Implement NLP solutions using frameworks such as SpaCy, BERT, GPT, and other transformer models.
Data Analysis and Feature Engineering:
• Conduct exploratory data analysis (EDA) to understand data patterns and relationships.
• Engineer and select features that improve the performance of AI models, using domain knowledge and statistical techniques.
• Handle large datasets, ensuring data quality, consistency, and completeness for model training and evaluation.
Collaboration and Cross-Functional Work:
• Collaborate with AI engineers, data engineers, and product managers to translate business requirements into technical solutions.
• Work closely with stakeholders across KPMG member firms to understand their needs and ensure the AI solutions meet business objectives.
• Participate in code reviews, share best practices, and mentor junior data scientists to foster a collaborative and high-performance environment.
Model Deployment and Optimization:
• Deploy AI models in production environments, ensuring they are scalable, reliable, and maintainable.
• Continuously monitor model performance, retraining and updating models as necessary to maintain accuracy and relevance.
• Optimize models for performance, speed, and resource efficiency, particularly when working with cloud platforms such as Azure.
Research and Innovation:
• Stay up-to-date with the latest advancements in AI, ML, NLP, and related fields, applying new methodologies to enhance existing models.
• Conduct research to identify new AI use cases and opportunities for innovation within KDN AI Foundry.
• Publish findings, contribute to technical documentation, and present insights to stakeholders and at industry conferences.
Data Governance and Security:
• Ensure all AI models and data processing activities comply with KPMG’s data governance policies and industry regulations.
• Implement best practices for data privacy, security, and ethical AI, particularly when handling sensitive and confidential data.

This Role is for You if You Have:

The Below:

Educational Qualifications	• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. • Advanced certifications in AI/ML, Data Science, or NLP are advantageous.
Work Experience	• 10+ years of experience in data science, with a focus on AI, ML, and NLP technologies. • Proven track record of developing and deploying AI/ML models in production environments. • Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and transformer models like BERT and GPT. • Experience working with large datasets, data preprocessing, and feature engineering.
Skills	• Strong proficiency in programming languages such as Python, R, or Scala, with a focus on AI/ML libraries. • Deep understanding of machine learning algorithms, statistical methods, and NLP techniques. • Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Hadoop, Spark). • Excellent problem-solving skills and the ability to work independently and as part of a team. • Strong communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

About KPMG Global Services (KGS)

Established in 2008, KPMG Global Services (KGS) India is a strategic global delivery organization that works with over 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements. The KGS India journey has been one of consistent growth, with a current employee count of c.22,000, operating from eight locations in India — Bengaluru, Gurugram, Hyderabad, Mumbai, Kochi, Noida, Kolkata and Pune. KGS provides a range of Advisory, Tax and Audit support services to KPMG firms around the world, offering opportunity everywhere with us to make your mark.

Reflecting a sharp focus on our people, as part of KPMG in India, we are rated among the top 10 Best Companies in India for women and as Champions of Inclusion by Avtar and Seramount in 2023. We are also rated as a Gold Employer for our LGBTQ+ inclusive practices and policies by India Workplace Equality Index (IWEI). In addition, we have been ranked among the top three best employers for women and best companies for policies on Diversity and Inclusion, by ASSOCHAM (The Associated Chambers of Commerce & Industry of India).

We are also a LEED and ISO 14001:2015 (Environmental Management System (EMS)) organization and are committed to making a positive impact on people and the planet.

About KPMG Delivery Network (KDN)

KPMG Delivery Network (KDN) is a collectively owned special purpose member firm that supports KPMG’s globally integrated client service delivery model. We leverage our network of Global Delivery Centres to provide cost effective and high-quality services to support our member firm’s local and global client engagements across our service lines in Advisory, Audit, and Tax & Legal. We are a central pillar of KPMG’s collective strategy around service delivery, scalability, and technology investments to help the network better compete and grow market share.

Please be informed that KPMG Global Services (KGS) and its related entities do not charge any money, fees or security deposits from its job seekers during the selection process nor it has authorized any individual or entity to charge such fees or money on its behalf. It has come to our knowledge that certain fraudulent individuals or placement agencies falsely claim to be the empaneled vendors or employees of KGS, offering misleading job opportunities in exchange for fees or security deposits.
We request you to be vigilant and not respond to any individuals or entities demanding fees or charges during the selection process with KGS, as we do not charge any money or fees from anyone seeking employment with us. In case of any suspicion, we encourage you to report the incident directly to us.