Junior Data Scientist/Engineer

Data Science and Data Engineering go hand-in-hand and a good data scientists knows solid data engineering skills. In this mixed Junior position you'll get in your first 18 months a rapid learning & hands-on curve working on both domains: you'll build ML models, do feature engineering but similarly also set-up data pipelines, the data platform and do the CICD. This junior position is a great opportunity to learn end-to-end what it takes to put data science in production.


Visual Vacancy Junior Data Scientiest/Engineer


Role descriptions like Data Scientist are broadly used for reporting tasks & analyst tasks. Our job offer is there to reflect a mixed data scientist/engineering position: i.e. one where we’ll be asked you to crunch data with the objective to build machine learning models and to embed them in applications end-to-end to production.

Key responsibilities

As a data scientist/engineer, you aim to work hands-on to deliver data-driven platforms, machine learning models & applications. Every mission we’ll embark will have concrete deliverables and a deadline; this means we can guarantee you a variety of engagements across clients & industries: e.g. one month you might work on a predictive maintenance modelling, another month you might work on a churn model for a marketing client.

You’ll be responsible for (1) platform set-up, (2) data gathering and preparation (3) research on what type of models to use and (3) the ML modelling itself. You will work (standalone or in team) with clients (~50% of the time at the client) and have a responsibility on managing project timeline, status meetings and client coaching & training.

Your responsibilities:

  • Build data platforms (data engineering) with Azure and Databricks
  • Develop data pipelines & predictive/machine learning models in Python
  • Guide customers towards translating their use-case or business idea in platform architectures and machine learning techniques & models
  • Act as data science expert on latest machine learning & AI trends
  • Be a thought-partner for client data science teams in tackling their specific challenges, limitations & ambitions through machine learning
  • Inspire customers with insights, opportunities on new data-driven use-cases
  • Act as data engineering expert bringing best-practices of Git, DevOps & CICD to the customer's data platform.
  • Embrace project management aimed towards getting the job done. This will include working with client data scientists, data engineers but also business stakeholders
  • Be an on- and offline ambassador for the element61 team

Being a data scientist/engineer at element61 means you will work with businesses and executives in Belgium helping them to get a grip on the impact of (big) data, analytics, machine learning & artificial intelligence. As time passes, we’ll encourage you to build a functional expertise within a business or technical domain within your interest such as ad-tech, deep learning, digital marketing, predictive maintenance or other.

Your profile

  • You are already residing in Belgium
  • University degree in Computer Science or (Business) Engineering and/or a specialized master in Machine Learning or AI which reflects in
  1. Knowledge about machine learning approaches and the variety of models which exist & their application area (e.g., SVM, RNN, Deep learning)
  2. Knowledge about data science basics including sampling and the various evaluation metrics
  3. Fluent in SQL and Python
  • No working experience required; any experience can be a plus
  • Knowledge on Spark and/or any Cloud ecosystem (Microsoft Azure, Google Cloud) considered a plus
  • Passionate about data, machine learning technology & applications and eager to learn
  • Enthusiasm to be part of a growing team & industry
  • Fluent in English, Dutch or French is a plus

Are you interested in this opportunity? 

Send your curriculum vitae and motivation letter to jobs@element61.be