Consultancies

Senior Data Scientist I, GenAI

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: Not specified
City: Prague, Sao Paulo
Country: Czech Republic, Brazil, United States

You will join McKinsey's OneData organization to build enterprise data capabilities and advance the firm's data strategy by delivering state-of-the-art generative AI automations. You'll work in a cross-functional team of data scientists, engineers, designers, and product managers to develop generative AI products with firm-wide impact. You will work hands-on with the latest multimodal LLMs, conducting experiments and deploying production pipelines that use generative models to automate data curation, lineage, and quality checks. You'll be involved in model training, fine-tuning, evaluation, and iteration to accelerate value creation.

Technology & Digital

Senior Data Scientist I, GenAI

Job ID: 100426

Prague
San Jose
Sao Paulo

Apply Now Apply Later

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 teams 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: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

5+ 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.

Industries

High Tech

Capabilities

Technology

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.

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.

FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.

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Job Skill Group - N/A
Job Skill Code - FAPS - Senior Data Scientist I
Function - Technology
Industry - High Tech
Post to LinkedIn - Yes
Posted to LinkedIn Date - Wed Aug 13 00:00:00 GMT 2025
LinkedIn Posting City - Prague
LinkedIn Posting State/Province -
LinkedIn Posting Country - Czech Republic
LinkedIn Job Title - Senior Data Scientist I, GenAI
LinkedIn Function - Information Technology
LinkedIn Industry - Information Services
LinkedIn Seniority Level - Mid-Senior level

Your Impact

You’ll work with the OneData organization focused on building enterprise data capabilities to support the Firm’s data strategy.

As a member of the OneData organization, you will collaborate with the data teams team to deliver state-of-the-art generative AI automations.

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.

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: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your qualifications and skills

5+ 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