You will join our Amsterdam office, as a data scientist at QuantumBlack. You will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects, using maths, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.
Who you are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly
Our Tech Stack
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, TensorFlow, PyTorch, SQL, Airflow, Databricks, our own OSS called Kedro , container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!
As a data scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
What you’ll learn
You will work on the frameworks and libraries that our teams of data scientists and data engineers use to progress from data to impact. Watch our Protocols series video tutorial. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport.
McKinsey is a global management consulting firm where you'll have unrivaled opportunities to work face-to-face with the leaders of the world’s most impressive organizations and to leave your mark.
We provide a broad range of opportunities for you to meet people, make friends, and build networks that can help you wherever your career takes you
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