> Markdown version of [/jobs/ext/4159138-data-scientist-quantumblack-ai-by-mckinsey](https://www.wearedevelopers.com/jobs/ext/4159138-data-scientist-quantumblack-ai-by-mckinsey). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - QuantumBlack, AI by McKinsey - **Company:** McKinsey & Company - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Computer Programming, Data Files, Data Mining, R (Programming Language), Apache Hadoop, Apache Hive, SPSS (Software), Python (Programming Language), Machine Learning, Cloud Services, SAS (Software), SQL Databases, Google Cloud, Generative AI, Agentic-AI, Pyspark, Kubernetes, Information Technology, Data Analytics, Dask, Docker, Databricks - **Published:** October 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b1ef50cb25986fde ## About the Role 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., * Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Applied Statistics, Mathematics, Engineering, Physics, or other technical fields * 1+ years of professional experience applying machine learning and data mining techniques to solve real-world problems with substantial data sets * Programming experience (focus on machine learning): SQL and Python's Data Science stack; good knowledge of at least one big data framework (e.g., PySpark, Hive, Hadoop) is a plus. R, SPSS, and SAS are considered nice-to-have * Strong understanding of machine learning methods and experience applying them to complex, data-rich environments * Ability to prototype and deploy statistical and machine learning algorithms, and translate analytical outputs into data-driven solutions * Experience deploying ML/AI technologies into production or applied business environments is a plus * While we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and Azure * Familiarity with Generative AI (GenAI) and agentic systems is a strong plus * Excellent time management skills to handle responsibilities in a complex and largely autonomous environment * Willingness to travel * Strong communication skills, both verbal and written, in English with the ability to adapt your style to different audiences and seniority levels