Principal Data Scientist I - Platform gen AI
McKinsey & Company
Software Engineering, Data Science
San Jose, CA, USA
Posted on Mar 17, 2025
Principal Data Scientist I - Platform gen AI
Job ID: 95012
Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.
Your Impact
As a member of the Lilli 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 (such as GPT-like models) for automating knowledge search, curation, and synthesis processes. This includes model training, fine-tuning, evaluation, and iteration, enhancing creativity and content generation.
Your Growth
You’ll work with the Lilli team focused on our internal firm generative AI initiatives. Lilli is McKinsey’s leading generative AI tool & platform for employees.
Our team is distributed across multiple locations, including offices in North America and Europe. The Lilli team is dedicated to advancing the capabilities and applications of generative AI within our firm, driving innovation, and delivering impactful AI solutions.
Your qualifications and skills
- 8+ years of experience as a Data Scientist
- 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
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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Job Skill Group - N/A
Job Skill Code - FAPE - Principal Data Scientist I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 27 00:00:00 GMT 2025
LinkedIn Posting City - Lisbon
LinkedIn Posting State/Province -
LinkedIn Posting Country - Portugal
LinkedIn Job Title - Principal Data Scientist I - Platform gen AI
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Executive
Job Skill Code - FAPE - Principal Data Scientist I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jan 27 00:00:00 GMT 2025
LinkedIn Posting City - Lisbon
LinkedIn Posting State/Province -
LinkedIn Posting Country - Portugal
LinkedIn Job Title - Principal Data Scientist I - Platform gen AI
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Executive