McKinsey & Company

Who You'll Work With

As a data scientist at QuantumBlack in our Greater China region you can expect:

Your colleagues

Work with other data scientists, data engineers, machine learning engineers, digital consultants, designers, project managers and McKinsey experts on interdisciplinary projects, using maths, stats and machine learning to derive structure and knowledge from raw data across various industry sectors. 

Who you are

You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising 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.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro (check out a Kedro tutorial video here), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!

What You'll Do

As a Data Scientist at QuantumBlack you can expect...

Your responsibility

• You will partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions. 
• You will be flexible to travel to our clients’ offices to deliver presentations, gather information or share knowledge. 
• You will contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and client. 
• You will 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.
• You will write highly optimized code to advance our internal Data Science Toolbox.
• You will 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 (video: R&D at QuantumBlack); 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.
• Work in one of the most advanced data science teams globally. 

What you'll benefit from

• Real-World Impact – No project is ever the same, we work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally. 
• Fusing Tech & Leadership – We work with the latest technologies and methodologies and offer first class learning programmes at all levels. 
• Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. 
• Innovative Work Culture – Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. 
• Striving for Diversity – With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life. 
• Continuous development and progression – We offer an extensive choice of training sessions, ranging from workshops to international conference, tailored to your needs as well as a personal mentorship system.We have multiple career paths and geographic locations to evolve within the Firm. 
• Global community – you'll learn from colleagues around the world by connecting both internally and externally through our various hosted meet-ups.

Qualifications

• MSc or PhD degree in a discipline such as computer science, machine learning, applied statistics, mathematics or engineering; BSc in AI or machine learning will be considered 
• 3+ years of data analytics related work experience in a leading company in the industry
• Data science experience focused on a specific industry e.g., financial service, retail, internet etc., preferred
• Comprehensive computer skills with understanding of basic coding
• Experience and knowledge of database and statistical software (Such as SAS, R, Python) and can work with large data sets
• Deep knowledge about statistics and machine learning
• Domain expertise preferred: attribution, segmentation, response modeling, churn, propensity, customer LTV, supply chain / logistics, geospatial inference, recommender systems, causal inference, forecasting, pricing, NLP or image processing
• Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions, with tolerance to deal with bad quality data
• Ability to translate scientific insights into product decisions and work streams
• Good people skills, team orientation, quality-oriented, highly committed and professional 
• Excellent communication skills in English and Mandarin Chinese (both oral and written)