Senior Data Scientist - QuantumBlack

Your Growth

You will work with other 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.

You are 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.

Your Impact

Only at McKinsey will you work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.

You will experience the best environment to grow as a technologist and a leader. You will 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.

You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will 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.

As a Senior Data Scientist, you will:

1. Solve the hardest business problems with our clients in multiple industries worldwide while leading research and development of state-of-the-art Machine Learning and statistical methods.
2. Play a leading role in bringing the latest advances in deep learning to the world economy, collaborating with industry executives and QuantumBlack experts to find and execute opportunities to improve business performance using data and advanced machine learning models.
3. Identify machine learning R&D initiatives that have high potential of applicability in industry.
4. Work with QuantumBlack leadership and client executives to understand business problems and map them to state-of-the-art analytics and AI solutions.
5. Use the latest advances in deep learning, reinforcement learning, and AI to solve business problems and derive key insights across various industry sectors.
6. Mentor other data scientists and help them grow their knowledge and skills.
7. Work closely with data engineers, machine learning engineers, and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world.
8. Influence and help shape the R&D roadmap for QuantumBlack, especially on deep learning.
9. Perhaps most importantly, you will work in one of the most talented and diverse data science teams in the world.

Your qualifications and skills

1. Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering, or artificial intelligence.
2. 5+ years of deep technical experience in distributed computing, machine learning, and statistics-related work.
3. Programming experience in languages such as: Python, R, Scala, SQL.
4. Knowledge of distributed computing or NoSQL technologies is a bonus.
5. Client-facing skills e.g. working in close-knit teams on topics such as data warehousing, machine learning.
6. Proven application of advanced analytical, data science, and statistical methods in the commercial world.
7. Demonstrated leadership (thought leadership or people leadership e.g. managed project teams or direct reports).
8. Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields.
9. Knowledge in prompt engineering & GenAI application building (RAG, Agentic systems).
10. Knowledge in Engineering standards, QA/Risk Management.
11. Willingness to travel.