McKinsey-posted 2 months ago
Mid Level
Chicago, IL
5,001-10,000 employees
Professional, Scientific, and Technical Services

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: Continuous learning: 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. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. 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. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: 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.

  • Collaborate with clients and interdisciplinary teams to understand client needs and develop impactful advanced analytics and AI solutions.
  • Optimize code and solve complex business challenges across industries.
  • 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.
  • Build production-grade RAG pipelines and assess LLM output quality/hallucinations when appropriate.
  • 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.
  • Contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
  • Bachelor's degree in computer science with 2+ years of professional experience OR Masters or PhD in a discipline such as computer science, mathematics, statistics or electrical engineering.
  • Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data.
  • Development experience (focus on machine learning): SQL and Python's data-science stack; proficiency with Spark/PySpark for distributed workloads.
  • GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation.
  • Exceptional time management to meet responsibilities in a complex and largely autonomous work environment.
  • Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust style to suit different perspectives and seniority levels.
  • Willingness to travel.
  • Comprehensive benefits package to enable holistic well-being for you and your family.
  • Competitive salary based on location, experience, and skills.
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