Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company, Inc.; Zürich; Vor Ort; CHF 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Comprehensive benefits package

Continuous learning programs

Zusammenfassung

McKinsey & Company, Inc. in Zurich seeks a Data Scientist to harness data for global impact. You will develop solutions that solve real-world problems while working across various industries.

Your role involves building large-scale data solutions and fostering collaboration in a multicultural team. Opportunities for growth and mentorship will accelerate your journey as a leader.

Qualifications include a degree in relevant fields, proficiency in Python and SQL, and up to 2 years of experience with data science methods.

Qualifikationen

• Up to 2 years of professional hands-on experience applying advanced data science methods.
• Strong grasp of analytics landscapes including business intelligence, machine learning, AI.
• Proven record of advisory work and leadership in a work setting.

Aufgaben

• Work in multi-disciplinary environments to provide real-world impact.
• Develop high-quality data science products and solutions for clients.
• Present findings and provide consultation to stakeholders.

Kenntnisse

Proficiency in Python

SQL

Machine learning models

Data science methods

Communication skills in German and English

Cloud-based analytical tools

Ausbildung

Degree in business math, statistics, machine learning, data science, physics, computer science, or engineering

Master’s degree or PhD in data science, computer science, business informatics

Tools

AWS

MS Azure

Google Cloud

Jobbeschreibung

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

You will work in multi‑disciplinary environments harnessing data to provide real‑world impact for organizations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will be responsible for working on complex and extremely varied data sets from some of the world’s largest organizations to solve real‑world problems. You will develop high‑quality data science products and solutions for clients as well as assets for our internal data teams, focusing on modeling and working alongside the Data Engineering team. Additionally, you will present findings, recommendations, and provide consultation to stakeholders, both internal and clients. Throughout your tenure, you will learn to work across various industries and sectors, gaining insights into diverse business challenges and applications of data science. You will build large‑scale data and analytics solutions, handling complex problems and advanced client situations. You will also learn best practices in data and analytics development, including framework, responsibility model, high‑quality code, data security, sustainability, and scalability. Working in collaborative teams with diverse skill sets, you will foster effective teamwork and learn from colleagues in a multicultural and creative environment. Staying up‑to‑date with the latest advancements in data science tools, techniques, and technologies, as well as participating in first‑class learning programs, will be a key part of your development. You will also develop strong client‑facing skills, including effective communication, problem‑solving, and presentation abilities.

YOUR GROWTH

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture – doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. 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 for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World‑class 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

• Degree in business math, statistics, machine learning, data science, physics, computer science, or engineering required.
• Master’s degree or PhD level in the field of data science, computer science, business informatics, or equivalent is a plus.
• Up to 2 years of professional hands‑on experience in applying advanced data science methods and implementing technical data solutions (e.g., develop machine learning models) to solve business problems.
• A strong grasp of various analytics landscapes, including business intelligence, machine learning, AI, and generative AI, and how to apply them effectively in different scenarios.
• Proficiency in Python and SQL (focus on data & analytics applications).
• Professional experience with cloud‑based analytical tools from market‑leading providers such as AWS, MS Azure, Google Cloud.
• Proven record of advisory work.
• Proven record of leadership in a work setting and/or through extracurricular activities.
• Proficient communication skills in German and English.
• Effective communication and presentation skills, particularly the ability to explain complex analytical concepts in a comprehensible manner adapted to different groups of non‑technical audiences (e.g., business managers, heads of products, sales & marketing leads).

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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.