Generative AI Data Scientist - NLP & Knowledge Graphs

McKinsey & Company; Palo Alto (CA); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Competitive compensation

World-class benefits

Career development

Job summary

McKinsey & Company seeks a Data Scientist to blend advanced analytics with semantic modeling, transforming raw data into actionable intelligence that shapes products and business strategy.

You will design predictive models, run large-scale experiments, and help define ontologies and knowledge graphs, collaborating with engineers and domain experts to operationalize models at scale and accelerate innovation for clients.

Qualifications

• Must have deep knowledge of NLP, Transformers, LLMs and Generative AI.
• Proven experience with Python-based data pipelines and end-to-end modeling.
• Experience with knowledge graphs and ontology design is a plus.

Responsibilities

• Blend analytics with semantic modeling to transform raw data into actionable insights.
• Design predictive models and run large-scale experiments.
• Collaborate with engineers and domain experts to operationalize models and graph services.

Skills

NLP

LLMs

Generative AI

Python

Knowledge graphs

Data modeling

Tools

Git version control

GPT/LLM tooling

Ontologies

Job description

McKinsey & Company seeks a Data Scientist to blend advanced analytics with semantic modeling, transforming raw data into actionable intelligence that shapes products and business strategy.

You will design predictive models, run large-scale experiments, and help define ontologies and knowledge graphs, collaborating with engineers and domain experts to operationalize models at scale and accelerate innovation for clients.