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KPMG Delivery Network India 1

Data Scientist Consultant

KPMG Delivery Network India 1 Bengaluru, Karnataka, India

Business Consulting and Services · 10,001+ employees

4 d ago
data-scientist Mid (2-5 yrs) Full-time India
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About the role

The consultant will design and deploy advanced AI and machine learning solutions using Azure and generative AI frameworks. They are also responsible for mentoring junior engineers and contributing to architectural decisions within cross-functional teams.

What they look for

Machine Learning Statistics Prompt Engineering Retriever-Augmented Generation LLM Generative AI Azure Cloud-native architectures MLOps Python SQL Regression Classification Clustering NLP Transformer architectures

Requirements

Candidates must hold a bachelor's degree in a technical or quantitative field with at least 4 years of relevant experience in machine learning and statistics. Strong mathematical foundations and proficiency in Python, SQL, and LLM-based technologies are mandatory.

Full description

Data Science: Consultant

Experience: 4+ years

Requirement:

  • Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
  • Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

  • Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
  • Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

  • Proven experience deploying AI/ML solutions on Azure
  • Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

  • Strong mathematical and algorithmic foundation
  • Proficiency in Python, SQL, and enterprise-grade AI tools
  • Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
  • Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

  • Autonomous Agent Development and multi-agent orchestration
  • Workflow automation for intelligent systems
  • LLMOps, fine-tuning foundation models
  • Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

  • Ability to mentor junior engineers and contribute to architectural decisions
  • Experience working in agile, cross-functional teams
  • Strong stakeholder management and solution-oriented mindset

Responsibilities

Data Science: Consultant

Experience: 4+ years

Requirement:

  • Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
  • Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

  • Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
  • Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

  • Proven experience deploying AI/ML solutions on Azure
  • Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

  • Strong mathematical and algorithmic foundation
  • Proficiency in Python, SQL, and enterprise-grade AI tools
  • Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
  • Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

  • Autonomous Agent Development and multi-agent orchestration
  • Workflow automation for intelligent systems
  • LLMOps, fine-tuning foundation models
  • Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

  • Ability to mentor junior engineers and contribute to architectural decisions
  • Experience working in agile, cross-functional teams
  • Strong stakeholder management and solution-oriented mindset

Qualifications

Data Science: Consultant

Experience: 4+ years

Requirement:

  • Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
  • Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must-Have Skills and Experience

Generative AI & Advanced AI Engineering

  • Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
  • Hands-on experience with LLM-based solutions and Generative AI frameworks

Cloud AI Development

  • Proven experience deploying AI/ML solutions on Azure
  • Knowledge of cloud-native architectures and MLOps pipelines

Core AI & Data Science

  • Strong mathematical and algorithmic foundation
  • Proficiency in Python, SQL, and enterprise-grade AI tools
  • Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
  • Familiarity with NLP, transformer architectures, and model optimization

________________________________________

Good-to-Have Skills

Agentic AI & Automation

  • Autonomous Agent Development and multi-agent orchestration
  • Workflow automation for intelligent systems
  • LLMOps, fine-tuning foundation models
  • Development of multi-modal AI applications (text, image, audio)

________________________________________

Leadership & Collaboration

  • Ability to mentor junior engineers and contribute to architectural decisions
  • Experience working in agile, cross-functional teams
  • Strong stakeholder management and solution-oriented mindset

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