Data Scientist II - QuantumBlack, AI

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.

You will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries. You will grow your expertise by contributing to cutting-edge projects, R&D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment. Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you’ll help clients stay competitive, transform operations, and achieve lasting improvements.

Here’s how you might contribute in a given year:

• Build a digital twin of a defense supply chain to enhance military hardware availability.
• Leverage agentic AI to improve customer service outcomes for a global travel company.
• Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.

You’ll contribute to projects across industries and data science expertise areas, eventually choosing your own path to build your expertise and skills. You should expect your responsibilities to include at least some work in critical industries (Aerospace, Defense, Utilities, Oil and Gas), but you will have the ability to serve other industries as well. Day to day, you’ll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts.

You will:

• Translate business questions into analytical approaches and select the right techniques for each problem
• Conduct exploratory data analysis
• Design, implement, and evaluate models—from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you’ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
• Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
• Build models which are accurate, explainable, and free from bias
• Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks

Additionally, you will contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML. You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.

In accordance with Ontario law:
This job posting is for an existing vacancy. Artificial intelligence systems (AI) may be used to assist recruiters in the screening and/or assessment of candidates for this role. AI is neither the sole determinative factor at any stage of the application process nor the decision-maker. All AI-generated assessments are reviewed by a McKinsey recruiter before any decision is made regarding a candidate’s candidacy.

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…