Expert - Data Science
McKinsey & Company
Zurich, Switzerland
vor 5 Tg.
  • Strong academic qualifications with an advanced degree in a quantitative discipline (e.g., statistics, mathematics or econometrics, economics, ops.
  • research or any related field)

  • 5+ years of deep technical experience in predictive analytics, machine learning, optimization etc
  • 8+ years of working experience in statistical modelling and / or machine learning
  • Fluent in a number of the following technologies - e.g., R, Python, Julia, SQL, GMPL, or related
  • Knowledge of typical frameworks (e.g., TensorFlow)
  • Expert knowledge of statistical approaches, incl. advanced machine learning techniques (e.g. Data Science, Support Vector Machines, Neural Nets, Deep Learning, Machine Learning) and / or optimization
  • Experience in leading teams and mentoring others
  • Willingness to travel up to 80%
  • German language for Zurich required
  • You will be based in Zurich and will be part of Digital and Analytics McKinsey Switzerland, serving clients from the region but also globally.

    Given the unprecedented proliferation of data in the world today and our clients’ growing need to understand and capture value from it, McKinsey Analytics is rapidly expanding.

    Ongoing investments in our people and technology platform, combined with acquisitions of leading-edge firms like QuantumBlack and Risk Dynamics, have made us one of the largest and most esteemed advanced analytics consultancies today.

    Combining state-of-the-art tools and techniques with McKinsey’s 85-plus years of experience, we enable our clients to improve their performance through data and become analytics-driven organizations.

    A critical part of McKinsey’s mission is to create an unrivaled environment for exceptional people. We pride ourselves on fostering an atmosphere of ongoing learning and development for those seeking to constantly enhance their capabilities and knowledge.

    Through efforts like internal grant programs, continuing education, and secondment opportunities, learning and skills-improvement opportunities are endless for our data professionals around the world.

    The Expert Data Science will work through our clients’ entire data ecosystem to understand what’s available, what’s missing - and where to find and collect that information.

    In detail : - You will apply data science methods to improve and optimize our clients performance needs, capture meaningful insights from data and turn them into competitive advantages.

  • You will drive the creation of statistical models to solve specific operational problems, which may include predicting equipment failure to do proactive maintenance for wind turbines, determining how to use machine learning to predict consumer behavior, etc.
  • In solving these problems, you will have access to proprietary feature engineering AI and teams of world-leading experts in your domain.

  • You will mentor and guide your team colleagues and you will provide information and knowledge with them.
  • You will be in the room, often with the senior management, working side by side with talented data scientists from leading client organizations both on technical issues and on making the change happen.
  • Our work across the analytics landscape is driven by experts with a broad range of analysis, coding, modelling, design, and system-architecture disciplines.

    We apply these to achieve measurable and outsize impact on real-world problems such as reducing crime, improving healthcare, optimizing manufacturing, and improving customer experiences.

    Examples around the world include : - Enabling a major European pharmaceutical client to reduce trial times by 15 percent.

  • Simulating mining operations for our American gold mining client that identified opportunities to raise capacity by 20-40 percent.
  • Creating a route-optimization and scheduling model for one of the largest Chinese logistics companies, which resulted in a lowered carbon footprint and hard cost savings of 65 percent.
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