Industry not specified

Senior Data Scientist I - OneData

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

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

You’ll work with the OneData organization focused on building enterprise data capabilities to support McKinsey’s data strategy. The team is distributed across North America and Europe and focuses on advancing Generative AI, delivering AI solutions at firm-wide scale. You’ll collaborate in a cross-functional team of data scientists, engineers, designers, and product managers to develop state-of-the-art generative AI automations and production pipelines using multimodal LLMs. Responsibilities include training, fine-tuning, evaluating, and iterating models to automate data curation, data lineage, data quality checks, and data product creation to create enterprise impact.

Technology & Digital

Senior Data Scientist I - OneData

Job ID: 105304

Prague
San Jose
Sao Paulo

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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. By 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

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

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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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