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14/06 Shubham
Executive at KPMG Global Services

Views:5732 Applications:941 Rec. Actions:Recruiter Actions:351

KPMG - Consultant - Data Scientist (3-9 yrs)

Bangalore/Delhi NCR Job Code: 937383

KPMG - Data Scientist - Consultant

Role : Data Scientist

Role Overview : Build Industry relevant analytics powered solutions that will help solve business problems for the clients. Role involves design and development of Natural Language Processing (NLP) solutions through application of state-of-art NLP techniques and algorithms.

Role Summary Description :

- Translate business objectives into analytic approaches, and identify data sources to support analysis.

- Analyze and model unstructured data using advanced statistical methods.

- Perform machine learning, Text analytics, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.

- Implement algorithms and software needed to perform analyses

- Drive client engagements focused on NLP applications development, in diverse domains such as product development, marketing research, and risk management.

- Communicate results and educate others through reports and presentations.

- Manage, guide and mentor team of data scientists

Functional/Technical Skills :

- Ability to break down complex problems, and develop strategies to solve them

- Masters, or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields, with 7 - 10 years of relevant experience

- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

- Expertise in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval

- Develop and apply machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, advanced regression methods and hypothesis testing

- Strong programming experience in Python

- Thorough understanding of unstructured data preprocessing, word representation, building neural network models etc

- Strong knowledge in neural networks and experience in building RNN, CNNs etc. from scratch

- Experience in deep learning frameworks like Tensorflow, Pytorch etc

- Experience in handling small team of data scientists for minimum of 2 years in their earlier role

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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