Generative AI Data Scientist: NLP & Knowledge Graphs

McKinsey & Company; Town of Texas (WI); On-site; USD 175,500 - 180,000; Full time

Job summary

McKinsey & Company in the United States is seeking a Data Scientist to advance generative AI capabilities across platforms. You will blend analytics with semantic modeling to shape product strategy and enterprise data insights, while designing predictive models and ontologies to connect data domains.

You will collaborate with engineers and domain experts to standardize data, operationalize AI models, and deliver scalable graph services that drive innovation and improve client experiences.

Qualifications

• US Citizenship required
• Defense experience and experience working with data at various classification levels required
• SECRET Security Clearance Required; TS+ clearance preferred
• 3+ years of experience as a Data Scientist; Previous enterprise platform experience preferred
• Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI
• Required experience with OpenAI's GPT suite, including previous experience with their multimodal LLMs: GPT4V, GPT4o
• Theoretical understanding of how LLMs can be leveraged to build classification models, re-rankers, and recommendation systems
• Strong programming skills: well-versed with building end-to-end data models and pipelines in Python according to the best engineering practices
• Experience managing a Git repository - maintaining effective version control with organized & clean branching strategies
• Experience with knowledge graphs

Responsibilities

• Blend advanced analytics with semantic modeling to transform raw data into actionable intelligence that shapes products and business strategy.
• Design predictive models, run large scale experiments, and surface insights, while also helping define ontologies and knowledge graphs that connect and contextualize enterprise data.
• Partnering with engineers and domain experts, you’ll establish data standards, ensure quality, and operationalize models and graph services at scale.
• The solutions you deliver will accelerate innovation, improve client experiences, and enable faster, more confident decision making across the Platform.
• As a member of the Platform team, you will collaborate with the Client Capabilities Network team to deliver state-of-the-art generative AI automations.
• You will experience what it's like to develop a generative AI product with a firm-wide impact. You’ll join a cross-functional team of data scientists, engineers, designers, and product managers working on a high-priority initiative.
• Leveraging cutting-edge technology, we aim to revolutionize how we conduct and synthesize knowledge research, enabling firm members to deliver impactful stories effortlessly.
• You will work hands-on with the latest multimodal LLMs, conducting experiments and deploying production pipelines that utilize generative models for automating knowledge search, curation, and synthesis processes.

Skills

NLP

Transformers

LLMs

Generative AI

Python

Git version control

Knowledge graphs

OpenAI GPT suite

Multimodal LLMs

Classification/recommendation systems

Tools

GPT4V

GPT4o

Python data pipelines

Git

Job description

McKinsey & Company in the United States is seeking a Data Scientist to advance generative AI capabilities across platforms. You will blend analytics with semantic modeling to shape product strategy and enterprise data insights, while designing predictive models and ontologies to connect data domains.

You will collaborate with engineers and domain experts to standardize data, operationalize AI models, and deliver scalable graph services that drive innovation and improve client experiences.