Y-Axis Jobs Logo
Send us feedback
telephone  +91 7670 800 001
Log in Sign up Try Premium
Data Science Assistant Manager at KPMG Global Services
Bangalore, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Generative AI, NLP, Machine Learning, Python, Stakeholder Management, APIs, AWS, Research, Algorithms, Transformer Architecture, Retrieval Augmented Generation, Agentic Experience, Communication Skills, Problem Framing, Forecasting

Industry

Business Consulting and Services

Description
Data Science: Assistant Manager Experience: 7+ years Requirement: 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 6+ years of relevant experience in Generative AI and NLP 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, stakeholder management skill and should be able to frame problem statement into analytical approaches Strong programming experience (at least 5+) in advanced Python including OOPs Should have good experience in Machine Learning / forecasting (working, finetuning and evaluation) 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 have strong agentic experience Good Experience of working on AWS Should be able to create APIs for backend 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
Responsibilities
The Data Science Assistant Manager will lead projects in Generative AI and NLP, focusing on problem framing and analytical approaches. The role requires strong programming skills and the ability to create APIs for backend systems.