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? YOUR IMPACTYou 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 agile, innovative environment. By uncovering patterns in data and delivering innovative solutions, you’ll help clients stay competitive, transform operations, and achieve lasting improvements. 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. 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. 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.

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.

YOUR GROWTHDriving 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. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.

Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data Programming experience (focus on machine learning):



SQL and Python’s Data Science stack are a must; good knowledge of at least one big data framework (Pyspark, Hive, Hadoop) is a plus; Software Engineering isa plus Knowledge in applying machine learning solutions to real problems with complex and/or big amounts of data Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains 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 Willingness to travel Strong language fluency skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

To help you understand what you can expect, the salary range for new joiners in this role in Canada, including all office locations where the job may be performed, is $132,300 - $140,000 CAD gross per year. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure.

Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites. #

📌 Data Scientist Ii - Quantumblack, Ai By Mckinsey (Winnipeg)
🏢 McKinsey
📍 Winnipeg