Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.

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Jr. Data Scientist & Engineer

Immediate added value accelerated by our development program

It’s tough for businesses to attract upcoming data Scientists and Engineers with the skills to drive your organisation towards data dominance. That’s why we created our junior development program. We attract and select data Scientists and Engineers at the top of their class, find the right match for your business needs, and provide them with an unparalleled level of expert guidance and technical training from our senior data science and data engineering team as they take on your biggest problems. You receive an immediate boost to your data science and engineering projects, plus the option to hire after the one year junior development program has concluded.

How it works

Don’t search for a unicorn, grow it.

          We select top talent from data courses at leading universities with 1-2 years work experience and place them where they can have most impact.
          Candidates work 4 days per week with clients and spend every Friday improving their skills through our proven development program at Xomnia.
          You get a well-rounded candidate with the resources of the Netherlands’ top data analytics & AI team at their back.

Profiles junior Data Scientists & Engineers

Name: Nicky

Education: MSc Data Science: Business and Governance

Placement: NS International

Major projects:

Rshiny sales dashboard– Developed a dashboard that pulls weekly sales figures including a break down of conversion rates per channel (SEO / SEA / Direct etc) by destination, and device (mobile, tablet, desktop) for use at weekly marketing team stand-ups.

Journey Motif model– Developed a model that utilizes online and offline data to predict if someone is traveling for business or leisure purposes.

Next best action model– Personalization is an important part of NSI – this model is a recommender system that draws on purchase history and website behavior to predict the most probable next trip for a customer. The data can then be used to personalize digital and print marketing.

A/B testing– NS conversion team is constantly trying to optimize the NS website to ensure customers navigate the site as smoothly as possible (and ultimately buy tickets, of course). AB testing is used to test customer behavior and impact on several KPIs (conversion, average order value, time on page). Ideas for the AB testing will include results from data analysis. 

Name: Jolien

Education: MSc Methodology and Statistics of the Behavioural, Biomedical and Social Sciences 

Placement: Applied Data Analytics in Medicine (ADAM) at the UMC Utrecht

Major projects:

IC Capacity– Developed models to predict bed capacity in the Intensive Care Unit (ICU). Focused on inflow models, which predicted the probability and time for IC admission for patients in certain risk groups. 

PREDICT– Developed models to predict potential complications during pregnancy, whether a hospitalization would result in childbirth, and whether the child would go to Neonatal Intensive Care. 

Bonus– Gave two introductory lectures in Data Science and a workshop for data managers and business intelligence colleagues, supervised a Business Informatics student.