Senior Data Scientist - Life Sciences.AI

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, well 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, youll 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, all while upholding our unwavering commitment to ethics and integrity. 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.

You will partner with global teams to create differentiated advanced analytics and agentic solutions that address high-value commercial use cases across the Life Sciences sector.

You will help transform standalone pilots into integrated, production-ready systems that reshape end-to-end commercial workflows and drive meaningful impact for patients.

You will leverage your advanced analytics expertise to solve complex problems, develop advanced machine learning models, design agentic flows, evaluate agentic outputs, write optimized code, and enhance our internal Data Science toolkit. You will collaborate on multiple projects, ensuring statistical rigor and reusable methodologies, while mentoring junior colleagues and supporting senior stakeholders in translating analytics into actionable insights. You'll explore emerging technologies and collaborate with diverse experts to deliver impactful innovations.

Your work will create real-world impact. By building cutting-edge technology assets, you will help clients modernize their commercial engagement model, harness the power of data, and achieve lasting improvements. Your contributions will enable organizations to unlock insights, get real-time insights from their data, and power our clients future commercial capabilities.

You'll grow as a technologist and leader. You'll have the freedom to experiment with leading technologies, and work alongside inspiring, multidisciplinary teams. Your work offers a unique opportunity to innovate, learn, and make a tangible difference for clients worldwide.

You'll be working in one of our North American offices in our Life Sciences practice. You will help revolutionize how Pharma and MedTech companies connect with their customers to improve human lives. You will be working in a team that is fully integrated with QuantumBlack, AI by McKinsey.

There is flexibility to hire at the Senior Data Scientist I/II or Principal Data Scientist I/II level, depending on your experience.

• 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 machine learning, knowledge graphs, agents, evaluation frameworks for agentic outputs, graph neural networks, deep learning, computer vision, and statistics-related work
• Strong programming experience in Python and the relevant analytics libraries, such as pandas, NumPy, matplotlib, scikit-learn, statsmodels, PyMC, PyTorch/TensorFlow/Keras, LangChain, and LangGraph
• Ability to write production-grade code and experience with version control, such as GitHub
• While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, 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
• Client-facing skills, e.g., working in close-knit teams on topics such as data warehousing and machine learning
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Demonstrated leadership, either thought leadership or people leadership, e.g., managing project teams or direct reports
• Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
• Willingness and ability to travel for work
• Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels