This is a fixed-term role of 6-months only. The suitable candidate is expected to hit the ground running on time-sensitive client projects from day one due to the short-term nature of the role.
What You’ll do:
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, working with clients to identify next product to buy or build, 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 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.
WHO YOU'LL WORK WITH
You will be part of the McKinsey Digital practice in Singapore, serving clients from the region but also globally. This group is fully dedicated to working with client teams on solving our client’s business problems with a strong quantitative nature. You will assist our clients on site through conducting state of the art hands-on quantitative analysis across the spectrum of marketing and sales, risk, operations, etc.
McKinsey Digital brings together the best of McKinsey’s digital capabilities to help our clients use digital technology to transform their businesses. As part of this group, you’ll join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity, and digital transformation. You’ll typically work on projects across all industries and functions and will be fully integrated with the rest of our global firm. You’ll also work with colleagues from across McKinsey & Company to help our clients deliver breakthrough products, experiences, and businesses, both on technology and non-technology topics.
REQUIREMENTS:
- An advanced degree in Engineering or an equivalent, with a strong preference for an MBA.
- Over 10 years of extensive technical experience in predictive analytics, machine learning, and optimization. Previous experience in the consulting industry is an asset.
- Profound expertise in analytics tools such as Python and SQL, with familiarity in multiple tech stacks.
- Exceptional knowledge of statistical approaches, including advanced machine learning techniques such as Data Science, Support Vector Machines, Neural Nets, Deep Learning, and Machine Learning, as well as optimization.
- Proven track record of successfully driving multiple rapid digital transformations, both in advisory and operational roles.
- Extensive experience in managing technical and analytics resources, both onshore and offshore, to create significant and measurable impact.
- Possesses a sophisticated executive demeanor and is comfortable operating at the highest levels within client organizations while demonstrating the ability to build long-term relationships and deliver high-impact programs within complex organizations.
