Data Scientist – QuantumBlack, AI by McKinsey

You will be based at one of our Greater China offices and work with other integrative consultants, data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using math, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.

As a Data Scientist, you’ll partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions. You will contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and client; translate business problems into analytical problems and develop models aimed at solving our clients and users problems and ensure they are evaluated with the relevant metrics; write highly optimized code to advance our internal Data Science Toolbox; add real-world impact to your academic expertise, as you are encouraged to write papers and present at meetings and conferences should you wish.

You will take part in R&D projects, attend conferences such as NIPS and ICML as well as data science retrospectives where you will have the opportunity to share and learn from your co-workers. You will work in one of the most advanced data science teams globally. You will be a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.

Work on real-world, high-impact projects across a variety of industries– Identify micro patterns in data that our clients can exploit to maintain their competitive advantage and watch your technical solutions transform their day-to-day business.

Experience the best environment to grow as a technologist and a leader– Develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.

Be surrounded by inspiring individuals as part of diverse multidisciplinary teams- Develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

Capabilities