Category: Traineeship data science

Interview with Young Mavericks’ Data Engineering trainees Sije and Don

What drew Sije and Don to the Data Engineering Traineeship? What are the program’s advantages and challenges and why do they wholeheartedly recommend the Young Mavericks traineeship? Read the double interview with trainees Sije and Don below.

Read more

Meet Dimitris: Data Science and Machine Learning: the wizardry of the 21st century

I have been the data science and machine learning trainer at Young Mavericks for 2 years now. With a computer engineering background, data science and machine learning got my attention during my studies, and still holds my interest very tightly, as to me it feels like the wizardry of the 21st century. I got in contact with Young Mavericks via one of the data scientists who was employed by Young Mavericks at the time.

Read more

Data Science and Data Engineering: Training in Multidisciplinary Teams

This fall, Young Mavericks growth is accelerating, with the hiring of a dozen new trainees – in one fell swoop. Half of them will soon start with our fourth Data Science program; the other half will participate in our first Data Engineering program. They will not only learn the tricks of their trade, but also how to collaborate on scalable insights and models throughout their traineeship. Moreover, they will develop the ability to come up with strong and creative solutions by viewing projects from a multidisciplinary perspective.

Read more

Meet Lisa: Realizing Young Mavericks’ Core Value of Personal Development

I’ve been a coach and trainer at Young Mavericks for two years now, since the company was founded. My coaching focuses on personal development, which translates to increasing consultants’ self-awareness and reflection on how their work habits and behaviours may affect others. My role here is to ensure that Young Mavericks’ consultants have access to professional development centered on empowering them to achieve their personal and career goals.

Read more

Traineeship Data Science with Erik

Hello, I’m Erik, I work at CB as a member of a data science team who work towards predicting the future. I focus on Natural Language Processing and make data-driven predictions on a product’s pre-destined performance in the market. When I am not predicting the future, I am growing it: cultivating oyster mushrooms from coffee grounds at my urban farm, Fungi Factory.

Read more