Data Scientist Intern - QuantumBlack, AI by McKinsey

Description du poste:

You will focus on the development of advanced analytics models to optimize underlying business problems.

In this role, you'll help shape the future of what data-driven organizations look like, drive processes for extracting and use that data in creative ways. You will create new lines of thinking within an infinite number of clients and situations. You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data.

You will apply and advise on state-of-the-art advanced analytic and quantitative tools, modeling techniques to derive business insights, solve complex business problems and improve decisions. Additionally, you will review, support and advise on the day-to-day analytics requirements of clients' key operational processes while continually improving the impact of these processes.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: 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.

Applications for Summer Internship 2026 are now open

Profil requis du candidat:

* Student in penultimate year of studies - graduating in 2027
* Background in mathematics, statistics, physics, engineering
* Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).
* Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
* Ability to independently own and drive model development, balancing demands and deadlines.
* Demonstrated aptitude for analytics.
* While we advocate for using the right tech for the right task, we often leverage the following technologies: 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.
* Knowledge of other languages including Portuguese, German, French and Italian will be valued
* Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
* Strong communication skills, both verbal and written, in English and Spanish, with the ability to adjust your style to suit different seniorities and explain complex analytical concepts to people from other fields