KPMG India
Data Science Consultant
Job Description
- Bachelors 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 4.5+ to 6 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
- Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
- Strong programming experience in Python
- Strong hands on experience in Generative AI with using ChatGP/PaLM/Open source LLMs
- Should be comfortable with using Azure Document Intelligence
- Hands on work experience in developing Retriever Augmented Generation techniques
- Must know either Llama index or Langchain
- Should be comfortable with Dev Ops and code version control
- Strong experience in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
- Strong communication skill and stakeholder management
- Communicate results and educate others through reports and presentations.
- Bachelors 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 4.5+ to 6 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
- Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
- Strong programming experience in Python
- Strong hands on experience in Generative AI with using ChatGP/PaLM/Open source LLMs
- Should be comfortable with using Azure Document Intelligence
- Hands on work experience in developing Retriever Augmented Generation techniques
- Must know either Llama index or Langchain
- Should be comfortable with Dev Ops and code version control
- Strong experience in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
- Strong communication skill and stakeholder management
- Communicate results and educate others through reports and presentations.
- Bachelors 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 4.5+ to 6 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
- Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
- Strong programming experience in Python
- Strong hands on experience in Generative AI with using ChatGP/PaLM/Open source LLMs
- Should be comfortable with using Azure Document Intelligence
- Hands on work experience in developing Retriever Augmented Generation techniques
- Must know either Llama index or Langchain
- Should be comfortable with Dev Ops and code version control
- Strong experience in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
- Strong communication skill and stakeholder management
- Communicate results and educate others through reports and presentations.