Principal Data Scientist - GenAI
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Principal Data Scientist Job Listings
The Principal Data Scientist role is responsible for conducting data-driven analyses and modeling to improve business processes and guide strategic decision-making. Professionals in this position analyze large datasets in depth and develop data-focused solutions to enhance business performance. Job listings typically require strong analytical abilities, machine learning expertise, and statistical modeling skills.
What Does a Principal Data Scientist Do?
A Principal Data Scientist analyzes complex datasets to extract insights that support business decisions. This role involves data engineering, statistical modeling, machine learning, and artificial intelligence. They develop data-driven solutions for projects across various industries and build predictive models that help companies achieve their strategic goals. Presenting meaningful outcomes derived from large datasets to senior leadership is also a key responsibility.
What Should You Pay Attention to When Reviewing Principal Data Scientist Job Listings?
When applying for a Principal Data Scientist role, it is important to review the technical requirements stated in the job posting. Employers look for strong experience in areas such as machine learning, data mining, and statistical modeling. Proficiency in data analytics tools and programming languages is also a significant criterion. Job postings often specify the software tools and platforms candidates are expected to be familiar with.
What Education and Certifications Are Required for Principal Data Scientist Roles?
To work as a Principal Data Scientist, a master’s or doctoral degree is typically required in Computer Science, Data Science, Statistics, Mathematics, or a related field. Listings may also prefer advanced certifications in machine learning, artificial intelligence, and statistical analysis. Advanced-level courses and training programs in data science can further strengthen job applications.
What Qualities Are Employers Looking for in Principal Data Scientist Job Listings?
Employers seek candidates with strong analytical thinking, problem-solving skills, and experience in developing data-driven solutions. Excellent communication skills are essential, as the role requires presenting analysis results to senior management in a clear and understandable way. In addition, deep knowledge in handling large datasets, data cleaning, and preprocessing is expected.
What Are the Job Opportunities for Principal Data Scientists?
Principal Data Scientists can work across a wide range of industries, including technology, finance, healthcare, and retail. Companies developing data analytics and machine learning projects continuously need experienced professionals in this field. There are also many opportunities for those who contribute to company growth through data-driven strategic decision-making.
How Can I Apply to Principal Data Scientist Job Listings?
When applying for a Principal Data Scientist position, you should clearly highlight your experience in data science, machine learning, and statistical modeling in your resume. It is also helpful to emphasize your proficiency with programming languages and data analytics tools. Job listings commonly require skills in Python, R, and SQL. Including these skills in your resume is essential for a strong application.
In Which Fields Can a Principal Data Scientist Work?
Principal Data Scientists can work especially in technology companies developing data science and machine learning applications. They can also work in sectors such as finance, healthcare, retail, telecommunications, and energy, where large-scale data and analytical solutions are needed. This role is crucial for organizations that build AI-driven and data-oriented strategies.
Which Programming Languages Are Requested in Principal Data Scientist Job Listings?
Principal Data Scientist positions typically require proficiency in Python, R, Java, and SQL. These languages are widely used in developing machine learning and artificial intelligence applications. Python and R are preferred for data analytics and statistical modeling. Mastery of these programming languages provides a significant advantage when applying for job listings.
Principal Data Scientist - GenAI
06.01.2026
Çek Cumhuriyeti
Deneyim: 8-10 Yıl
Type of Work: Tam Zamanlı
Work Location: Hibrit
Job Description
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 GenAI 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. By 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.
You’ll work with the generative AI team focused on AI platforms or products. Our team is distributed across multiple locations, including offices in North America, Europe, and Latin America.
The generative AI team is dedicated to advancing the capabilities and applications of data retrieval and Generative AI within our firm, driving innovation, and delivering impactful AI solutions.
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, 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
Skills
About Company
About McKinsey
McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions.
We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world.
We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.
