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Data Science Manager at KPMG Nederland
Bangalore, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Generative AI, NLP, Machine Learning, Python, Stakeholder Management, Client Communication, APIs, Transformer Architecture, Retrieval Augmented Generation, Research, Algorithms, Mathematics, OOPs, Agentic Experience, AWS

Industry

Business Consulting and Services

Description
Data Science: Manager Experience: 10+ 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 9+ 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 Should have experience of overseeing multiple projects and handling client communication. Strong programming experience (at least 6+) in advanced Python including OOPs Should have extensive experience in Machine Learning / forecasting (working, finetuning and evaluation) Strong in GenAI and NLP: should have led large AI engagements 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 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 Manager will oversee multiple projects and handle client communication while framing problem statements into analytical approaches. The role requires leading large AI engagements and conducting research on the latest techniques in Generative AI.