Data Scientist Consultant
About this role
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
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
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
Frequently Asked Questions
Is the salary disclosed for the Data Scientist Consultant position at KPMG Global Services?
The salary for this Data Scientist Consultant role at KPMG Global Services is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist Consultant position at KPMG Global Services located?
This Data Scientist Consultant role at KPMG Global Services is based in Bangalore, Karnataka, India, Gurgaon, Haryana, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Scientist Consultant role at KPMG Global Services full-time or part-time?
This is listed as a Full time position. It is posted as a Data Scientist Consultant role at KPMG Global Services.
How do I apply for the Data Scientist Consultant position at KPMG Global Services?
Click the "Apply Now" button on this page. You will be redirected to KPMG Global Services's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Data Scientist Consultant job at KPMG Global Services posted?
This Data Scientist Consultant position at KPMG Global Services was posted on Sep 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Scientist Consultant
KPMG Global Services
You'll be redirected to KPMG Global Services's official application page on oraclecloud.