Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You’ll lead the development of cutting-edge AI and machine learning solutions that tackle some of the most complex business challenges across industries—delivering measurable impact at scale.
You will leverage the latest advances in machine learning, deep learning, reinforcement learning, and AI to uncover insights and improve business performance. You will mentor other data scientists, shape the QuantumBlack, AI by McKinsey R&D roadmap, and identify high-potential machine learning initiatives for industry applications. Working closely with data engineers, machine learning engineers, and designers, you will build end-to-end analytics solutions that create real-world impact.
Your work will transform industries. By leveraging advanced AI techniques and collaborating with industry leaders, you will help clients gain a competitive edge, solve critical challenges, and achieve lasting improvements in their operations.
You will be based in Taipei or Hong Kong, and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you’ll work on interdisciplinary projects to solve complex business challenges across a range of industries. Collaborating with QuantumBlack, AI by McKinsey leadership, client executives, and technical experts, you will lead the development and application of cutting-edge machine learning and AI solutions to drive measurable business impact.
You’ll thrive in an unparalleled environment for growth. You’ll work on high-impact projects, connect technology with business value, and collaborate with inspiring multidisciplinary teams, gaining a holistic perspective of AI’s transformative potential while advancing as a technologist and leader.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
YOUR QUALIFICATIONS AND SKILLS
Bachelors, master's or PhD level in a discipline such as computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
5+ years of deep technical experience in distributed/cloud computing, machine learning, deep learning, AI and statistics related work
Programming experience in languages such as: Python, R, Scala, SQL
Proven application of advanced analytical, GenAI or agentic AI methods in the commercial world
Knowledge of distributed computing or NoSQL technologies is a bonus
Client-facing skills e.g. working in close-knit teams on topics such as data warehouse management, machine learning / deep learning-based approach design and implementation
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, 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
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
Demonstrated leadership (thought leadership or people leadership e.g. manage project teams or direct reports)
Willingness to travel
Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
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