Impact Data Scientist for Global Client Solutions

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

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.