Data Scientist

Short Description

McKinsey is looking for the role of Data Scientist-Journey Analytics dedicated to combining analytics, design and consulting frameworks to improve customer experience by understanding, tracking and predicting sequences of events and interactions, to create better outcomes for businesses.

Job Description

Responsibilities:
  • Hands-on analytics experience
  • Experience building machine learning models in Python. R or other programming languages is a plus.
  • Passion for defining the next generation of customer experience excellence.
  • Industry experience in retail banking, pharma, healthcare, insurance, telecommunications or digital is a plus.
  • Distinctive problem solving and analytical thinking.
  • Evidence of entrepreneurial drive and having a start-up mentality.
  • Ability to prototype apps and visualizations is a plus.
  • Willingness to travel internationally up to 75%.

Educational Qualification:
Master's degree in Mathematics, Statistics, Analytics, Operational Research or similar field.

Data Scientist
Mid-Senior-level Information | Technology | Information Technology Full-time Analyst | Strategy/Planning | Management Data Scientist
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.