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.

During the first eight weeks of their traineeship, the trainees will take a major step in their professional development, so that they will immediately add value to partner organizations. Young Mavericks upgrades their training programs after every group of trainees, which enables us to respond to the latest developments in data science and data engineering. Additionally, this offers both trainees and our customers the opportunity to play a significant role in developing our programs further.

In our new Data Engineering program, trainees learn to set up their first architecture in the cloud. Within the first few weeks, they receive a variety of different training courses, set up their first server and become familiar with linking databases. Then the trainees learn how to work in a cloud environment, set up data pipelines, program APIs, and familiarize themselves with the latest tools and techniques. While the Young Mavericks’ Data Science program introduces an analytical, machine learning focus; the Data Engineering program focuses on setting up the environment, data flows and operationalizing data science within organizations in the most effective manner possible.  The combination of both programs has proved beneficial in offering the greatest growth opportunities.

Our data engineering program has an active focus on cross-fertilization between junior data engineers and data scientists. Already during their full-time training period, they work to solve one of our customers’ issues through a multidisciplinary Design Sprint. The groups also work collaboratively on prototypes, which are developed in the last three to four weeks of the two-month training program. By harnessing the support of a group of senior trainers from various disciplines, our trainees make big strides forward in a short time.

Our trainees are creative people who dare to think differently: innovators who do not fall prey to group-thought but are inspired by curiosity and passion. At a time of rapid developments, when organizations have to constantly reinvent themselves, we acknowledge the importance of these particular skill sets. Young Mavericks’ focus for the programs is therefore on autonomy and teaching the tools necessary to take charge, not just adaptation and participation.

In the coming period Young Maverick will focus on, among other avenues, finding new partners for our various programs and on selecting the right talent. Are you interested in a collaboration or would like to participate in one of our programs? Contact us via info@youngmavericks.com or +31 (0)20 24 09 103.

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.

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NIBC Case: Performing Analyses Faster through Machine Learning

NIBC Bank and Young Mavericks started a text data mining proof-of-concept at the Agency Management and Operations departments. Text mining is a form of analysis in which relevant information is extracted from large amounts of text material. The solution supports the banks’ employees to provide clients with accurate and relevant information, almost in real-time. By automating document review processes, employees can focus on offering personalized customer services to their clients and leave the routine analyses to machines. The application is ready for implementation.

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