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Data Science - Assistant Manager at KPMG Global Services
Bangalore, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Machine Learning, Statistics, Python, GenAI, NLP, Retrieval Augmented Generation, Transformer Architecture, APIs, ReactJS, Research, Problem Solving, Team Leadership

Industry

Business Consulting and Services

Description
Data Science: Assistant Manager Experience: 7 to 9 YOE 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 7 to 9 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 Excellent communication skill and should be able to frame problem statement into analytical approaches Strong programming experience in Python Strong in GenAI and NLP: Extensive experience in retrieval augmented generation and strong grasp in agents Should have good understanding of transformer architecture and traditional NLP Should be a self-sufficient in understanding the problem statement, explore the approaches to solve problems and ability to experiment & come-up with a plausible solution. Should be able to create APIs for backend and also have some hands-on experience in creating basic frontend using ReactJS for POCs Should have a strong appetite to do research, getting familiar with latest techniques on GenAI and come up with his/her own approach and experimentation. Good to have: Ability to fine-tune LLM. Ability to lead a team.
Responsibilities
The Assistant Manager in Data Science will be responsible for framing problem statements into analytical approaches and conducting experiments to derive plausible solutions. The role requires a strong understanding of algorithms and methods, along with the ability to create APIs and basic front-end applications for proof of concepts.