New

Principal Data Scientist I

McKinsey & Company
parental leave, paid time off
United States, New York, New York
Feb 10, 2026
Technology & Digital Principal Data Scientist I Job ID: 105586 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 You'll work with the OneData organization focused on building enterprise data capabilities to support the Firm's data strategy. Our team is distributed across multiple locations, including offices in North America and Europe. The OneData organization is dedicated to advancing the capabilities and applications of Generative AI within our firm, driving innovation, and delivering impactful AI solutions. As a member of the OneData organization, you will collaborate with the data 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 build data capabilities. 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 data curation, data lineage, data quality checks, data products creation. This includes model training, fine-tuning, evaluation, and iteration, enhancing creativity and content generation. Your Growth You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. Exceptional benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. 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 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. Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Apply Now Apply Later 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. Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $196,000 - $208,800 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. 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. Job Skill Group - N/A Job Skill Code - FAPE - Principal Data Scientist I Function - Technology Industry - High Tech Post to LinkedIn - #LI-DNI Posted to LinkedIn Date - LinkedIn Posting City - LinkedIn Posting State/Province - LinkedIn Posting Country - LinkedIn Job Title - Principal Data Scientist I LinkedIn Function - LinkedIn Industry - LinkedIn Seniority Level -