Job – Junior Data Scientist

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Are you pursuing a career in data science?

We have a great opportunity for you: an intensive training program combined with interesting job opportunities!

Interested? Check out follow the link to our datascience survey and send your cv to

Once selected, you’ll be invited for the intake event that will take place in Brussels this summer.

Hope to see you there,

Nele & Philippe

Job – Artycs – SENIOR DATA SCIENTIST – Brussels


The team of Artycs are active members of the Brussels Data Science Community and their offices are located in the European Data Innovation HUB, an incubator focused on data related startups.

ARTYCS is a start-up providing advisory services on Big Data strategy, full end-to-end management and delivery of data analytics projects and sourcing of data science related profiles. 

ARTYCS stands for “The Art of Analytics”. This represents our main values i.e. state of the art analytics skills combined with creativity and innovation in a client oriented mindset. 

At ARTYCS, we invest in Research & Development to work with the latest methods and technologies.

Being part of ARTYCS is the will to progress, to be an entrepreneur and to grow as an individual and as a company.

Becoming an employee at ARTYCS means working in a dynamic environment where there is room for new ideas and entrepreneurship.

At ARTYCS, we know that being a Data Scientist requires an extended set of key skills. We know also that Data Science is a dynamic field. For this reason, we are committed in developing our staff through an active Data Science Development Program. Concretely, this means that during your career at ARTYCS, you will be provided with a development plan that will clearly state the list of trainings you will follow and their timing, the development points for which you will receive coaching from our senior management on a regular basis, the data science events you will attend. With this program, we aim not only at developing our Data Scientists but also at ensuring that they are at the forefront of Data Science.

For one of our clients, a key player in financial services based in Brussels, we are looking for a Data Scientist. This is an exciting and challenging position as the candidate will join a dynamic, successful and rapidly growing team responsible for handling a large variety of Big Data business use cases. The candidate will be key in delivering the business use cases and expanding the reach of the team.

In this context ARTYCS is looking for a Senior Data Scientist to integrate our DS team, to take part to studies at clients and to be an active resource in the growth of the company:

Job description


  • Ability to learn quickly, adjust to changes and think outside the box
  • Creativity, curiosity and no non-sense approach
  • Positive attitude, self-motivated and confident
  • Excellent time management and organizational skills with attention to detail
  • Experience working with customers to identify and clarify requirements and ways to meet needs
  • Strong verbal and written communication skills, good customer relationship skills
  • Stay abreast of new tools and technologies to practice up-to-date data analytics strategies


  • Master’s degree in statistics, applied mathematics, or a related quantitative field
  • Strong experience with high-level programming languages such Python & R
  • Knowledge on Java and Scala is an asset
  • Work experience using applied machine learning or statistical modelling; knowledge of algorithms spanning clustering, regression, classification, mixture models, etc…
  • Experience with command line tools, relational databases (i.e. SQL), data visualization (Shiny, and version control (i.e. git)
  • Broad based understanding of the Hadoop ecosystem
  • Experience with Open Source big data technologies like Spark, Pig, Hive, HBase, Kafka, Storm
  • Knowledge of data extraction and ETL is a must
  • Knowledge of financial sector is a plus

Description of the position

  • Job Title: Senior Data Scientist
  • Location: Brussels, Belgium

For this position, we offer an attractive salary package including benefits (e.g. lunch vouchers, phone, company car, etc) and a variable part, depending on the seniority of the candidate. 


Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to .

Interested? Contact Laurent Fayet (0476/79.46.28),  laurent.fayet@artycs.eu

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Over Humix

Humix is een bedrijf van user experience en digital marketing experten. Wij analyseren en optimaliseren de gebruiksvriendelijkheid (usability), de gebruikerservaring (user experience) en de conversie van websites, webshops en andere ICT applicaties. Wij verzamelen inzichten over het gedrag en de voorkeuren van mensen, deze inzichten zetten we vervolgens in om de applicatie, website of marketing kanalen te optimaliseren en te zorgen dat de business doelstellingen gehaald worden. Afhankelijk van het project en de vraag van de klant selecteren we de beste mix van methodes voor analyse, prototyping, testen en meten.

Je bent:

Gepassioneerd door hoe mensen zich online gedragen en bent altijd op zoek naar het waarom achter de dingen die je ziet. Je hebt al ervaring met web analytics en wilt je nu verder specialiseren. Als data analist gebruik je ruwe data om je aanbevelingen te ondersteunen. Je vertaalt inzichten naar de business op een heldere manier.

Dit kun je:

  • Je hebt ervaring met web analytics tools als Google Analytics en/of Adobe Analytics.
  • Je weet dat er meer te analyseren valt dan visits en time on site.
  • Je hebt ervaring in het begrijpbaar visualiseren van data en inzichten.
  • Je bent volledig thuis in Excel en weet hoe je grote data sets omzet naar concrete optimalisaties.
  • Ervaring in specifieke dashboarding tools is een plus.
  • Je kan zelfstandig werken. Je hebt een sterk analytisch inzicht.
  • Je spreekt en schrijft goed Nederlands en Engels.
  • Je hebt veel goesting, om hard te werken, om bij te leren en om met je klanten resultaten te halen. Een gezonde dosis nieuwsgierigheid is een must.

Dit worden je taken:

  • Je begeleidt als expert klanten op weg naar een data driven business.
  • Je definieert KPI’s voor de online aanwezigheid van de klant.
  • Je denkt mee over de opzet van een measurement framework.
  • Je spreekt zowel met business, marketing en IT om doelstellingen te bereiken.
  • Je onderzoekt bezoekerscijfers en KPI’s in Analytics paketten en vertaalt ze naar concrete verbeteringen voor de website of webshop.

Dit mag je van ons verwachten:

  • Aantrekkelijk salaris inclusief extralegale voordelen zoals een bedrijfswagen, laptop,…
  • Flexibele werkuren
  • Uitdagende projecten voor interessante Belgische en internationale bedrijven
  • Ruimte om nieuwe en creatieve initiatieven te nemen
  • Jaarlijks opleidingsbudget om bij te blijven met de laatste ontwikkelingen. Dit mag zelf ingevuld worden.
  • Vast contract (onbepaalde duur)


Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to .

Here is the link to the original job add.

The positions are being filled up as they are coming in. Interested? Please send your motivation letter and your curriculum vitae to


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The European Data Innovation Hub organizes trainings and hands-on workshops about bigdata and datascience.

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Data Innovation Training Hub

Brussels, BE
101 Fast learners

This group is an initiative from the nonprofit European Data Innovation Hub, the premier networking space where business, startup, academic and political decision makers share…

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Day 3: Coached Mooc – Introduction to Big Data with Apache S…

Tuesday, Jun 16, 2015, 7:00 PM
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Hiring Data Scientists: What to Look for?


Check out the latest article in Data Science Briefings, the newsletter with updates on the latest news, trends, techniques, tools and our research in data mining and analytics.

Feel free to send this newsletter along to friends or colleagues; they can subscribe for free as well through our subscribe page. We keep an online record of our feature articles and QA’s over at as well, in case you want to catch up if you’re just joining us.

Kindest regards,
Prof. dr. Bart Baesens
Dr. Seppe vanden Broucke

Feature Article: Hiring Data Scientists: What to Look for?

Contributed by: Bart Baesens, Richard Weber, Cristián BravoSeppe vanden Broucke

In this column, we would like to elaborate on the key characteristics of a good data scientist from the perspective of the hiring manager. Big data and analytics are all around these days. IBM projects that every day we generate 2.5 quintillion bytes of data. In relative terms, this means 90% of the data in the world has been created in the last two years. Gartner projects that during 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage and about 4.4 million jobs will be created around big data. Although these estimates should not be interpreted in absolute sense, they are a strong indication of the ubiquity of big data and the strong need for analytical skills and resources, because as the data piles up, managing and analyzing these data resources in the best way become critical success factors in creating competitive advantage and strategic leverage.

To address these challenges, companies are hiring data scientists. However, in the industry, there are strong misconceptions and disagreements about what constitutes a good data scientist.

In this article, we will discuss the key characteristics of what makes up a good data scientist. It is based upon the authors’ consulting and research experience, having collaborated with many companies world-wide on the topic of big data and analytics.

A data scientist should be a good programmer

As per definition, data scientists work with data. This involves plenty of activities such as sampling and preprocessing of data, model estimation and post-processing (e.g. sensitivity analysis, model deployment; backtesting, model validation). Although many user-friendly software tools are on the market nowadays to automate this, every analytical exercise requires tailored steps to tackle the specificities of a particular business problem. In order to successfully perform these steps, programming needs to be done. Hence, a good data scientist should possess sound programming skills in e.g. R, Python, SAS, … The programming language itself is not that important as such, as long as he/she is familiar with the basic concepts of programming and knows how to use these to automate repetitive tasks or perform specific routines.

A data scientist should have solid quantitative skills

Obviously, a data scientist should have a thorough background in statistics, machine learning and/or data mining. The distinction between these various disciplines is getting more and more blurred and is actually not that relevant. They all provide a set of quantitative techniques to analyze data and find business relevant patterns within a particular context (e.g. risk management, fraud detection, marketing analytics, …). The data scientist should be aware of which technique can be applied when and how. He/she should not focus too much on the underlying mathematical (e.g. optimization) details but rather have a good understanding of what analytical problem a technique solves, and how its results should be interpreted. In this, the local formation of engineers in computer science and business/industrial engineering should aim at an integrated, multidisciplinary view, with recent grads formed in both the use of the techniques, and with the business acumen necessary to bring new endeavors to fruition. Also important in this context is to spend enough time validating the analytical results obtained so as to avoid situations often referred to as data massage and/or data torture whereby data is (intentionally) misrepresented and/or too much focus is spent discussing spurious correlations. When selecting the optimal quantitative technique, the data scientist should take into account the specificities of the business problem. Typical requirements for analytical models are:

  • actionability (to what extent is the analytical model solving the business problem?),
  • performance (what is the statistical performance of the analytical model?),
  • interpretability (can the analytical model be easily explained to decision makers?),
  • operational efficiency (how much efforts are needed to setup, evaluate and monitor the analytical model?),
  • regulatory compliance (is the model in line with regulation?)
  • and economical cost (what is the cost of setting up, running and maintaining the model?).

Based upon a combination of these requirements, the data scientist should be capable of selecting the best analytical technique to solve the business problem.

A data scientist should excel in communication and visualization skills

Like it or not, but analytics is a technical exercise. At this moment, there is a huge gap between the analytical models and the business users. To bridge this gap, communication and visualization facilities are key! Hence, a data scientist should know how to represent analytical models and their accompanying statistics and reports in user-friendly ways using e.g. traffic light approaches, OLAP (on-line analytical processing) facilities, If-then business rules, … He/she should be capable of communicating the right amount of information without getting lost into complex (e.g. statistical) details which will inhibit a model’s successful deployment. By doing so, business users will better understand the characteristics and behavior in their (big) data which will improve their attitude towards and acceptance of the resulting analytical models. Educational institutions must learn to balance, since it is known that many academic degrees form students that are skewed to either too much analytical or too much practical knowledge.

A data scientist should have a solid business understanding

While this might be obvious, we have witnessed (too) many data science projects that failed since the respective analyst did not understand the business problem at hand. By “business” we refer to the respective application area, which could be e.g. churn prediction or credit scoring in a real business context or astronomy or medicine if the respective data to be analyzed stem from such areas.

A data scientist should be creative

A data scientist needs creativity on at least two levels. First, on a technical level, it is important to be creative with regard to feature selection, data transformation and cleaning. These steps of the standard knowledge discovery process have to be adapted to each particular application and often the “right guess” could make a big difference. Second, big data and analytics is a fast evolving field! New problems, technologies and corresponding challenges pop up on an ongoing basis. It is important that a data scientist keeps up with these new evolutions and technologies and has enough creativity to see how they can create new business opportunities.


In this article, we provided a brief overview of characteristics to be looked for when hiring data scientists. To summarize, given the multidisciplinary nature of big data and analytics, a data scientist should possess a mix of skills: programming, quantitative modelling, communication and visualization, business understanding, and creativity! The below given figure shows how to represent such a profile.


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Job – Ordina – Data Science Kickstarter


Here is a nice opportunity for young professionals who want to become datascientists.

Alexander Van den Bulck, Data science job, Alexander Van den Bulck

Hi Philippe,

First of all, thanks for all the work you’ve guys have put into the Brussels Data Science Community. I love the meetups. I find them so much more informative than commercial (and not free) events/meetups.

At the Data Science for Banking meetup you mentioned that we can add Data Science job openings to the group. I’ve already added it to the website but is it also possible to add our job opening to the linkedin group?

We’re hiring master students to put through an intense data science program (8 weeks) before putting them on data science projects for our customers. We’re doing this because of the gap between supply and demand of data scientists in Belgium.



Ordina VisionWorks biedt een aantal mooie opportuniteiten voor toekomstige en beginnende Data Scientists. Je zal deel uitmaken van een innovatief en snel groeiend team dat nauw samenwerkt met één van de marktleiders op vlak van big data. De geselecteerde kandidaten zullen deel uitmaken van het VisionWorks BI consulting team, en worden belangrijke spelers in de verdere ontwikkeling van het VisionWorks Data Science Competence Center.


VisionWorks is de voorbije jaren, met 175 BI consultants op de Benelux markt, uitgegroeid tot een belangrijke speler op het vlak van Business Intelligence. Onze club draait goed, met verschillende prachtige referenties. We zijn een open club.

Software craftsmenship en ondernemerschap vinden we belangrijk, we zijn niet bang om te investeren in een community van professionals. Intern zijn we georganiseerd om snel te kunnen schakelen: plat, veel ruimte voor initiatief, doorgedreven distributie van verantwoordelijkheid. Zorgen dat het team goed zit. De mouwen opgestroopt. Dat soort aanpak.

VisionWorks realiseert elk jaar heel wat interessante en uitdagende projecten. Om het toenemend aantal projecten tot een goed einde te brengen, starten wij in augustus met een “Data Science Kickstart@Ordina”. 3 maanden lang word je ondergedompeld in trainingen, behaal je certificaten en doe je hands-on ervaring op. Leren, net zo lang tot je klaar bent voor de volgende stap. “Er helemaal voor gaan”, dat is de Ordina-WAY!

Onze senior consultants zullen je de nodige kennis bijbrengen om uit te kunnen groeien tot expert Data Scientist. Je wordt ondergedompeld in de wereld van de statistiek, programmeren, databases, machine learning, Big Data, … aangevuld met Data Science technologieën en producten: R, Shiny, knitr, SPSS, Hadoop, … Maar ook soft skills zoals presentatie & professionele adviesvaardigheden komen aan bod.

Onze senior consultants worden jouw mentor en zij ondersteunen je bij de verdere uitbouw van je carrière. Door deze aanpak krijg je als junior van bij de start de juiste professionele coaching om jezelf tot een hoger niveau te brengen. Interesse in een jarenlange samenwerking? Aarzel dan niet om ons te contacteren.

Desired Skills and Experience

  • Je hebt net je master behaald in een vakgebied waar statistiek, programmeren en/of zakelijk inzicht aan bod kwam
  • Analyseren, capteren en visualiseren van data is voor jou een echte passie
  • Je beschikt over een groot analytisch en “lerend” vermogen in combinatie met goede communicatieve vaardigheden.
  • Je werkt nauwkeurig, bent gedreven, en oog voor detail vind je vanzelfsprekend
  • Je bent flexibel, stressbestendig, creatief en je denkt graag outside-the-box.
  • Je beschikt over een professionele houding en hebt de absolute wil om te slagen
  • Je spreekt vlot Nederlands en Engels. Een aardig mondje Frans praten is mooi meegenomen.


Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to .

Here is the link to the original job add.

Please Apply Online



Job – Predicube – Junior Data Scientist – Antwerp


Experience:Entry Level
Job Function:Information Technology
Employment Type:Full-Time
We are looking for a junior data scientist who is interested in learning about big data analytics in a cloud-based environment and who is eager to collaborate with our CTO in a growing and exciting startup. We offer a dynamic job on the 19th floor of the KBC tower in Antwerp, with possibility to be included in the employees’ stock option program at a later stage.

If you have good technical skills, knowledge of data science and interested in working on a system that analyzes 1 billion records on a daily basis to build dozens of predictive models, you are our man or woman!
Desired Skills:
Technology: Linux, Python, PHP
Affection for data & numbers
Ethical reflex concerning privacy-friendly analytics
Also a plus: expertise about Hadoop, Pig, mongoDB


Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to .

Here is the link to the original job add.

Please Apply Online

Job – PWC – Quantitative Market Risk Professional


What your job will look like

The Financial Services Risk team within the Governance Risk & Compliance (GRC) group at PwC advises leading financial services organisations on a wide variety of risk and capital management issues. These range from regulatory requirements such as Basel III and Solvency II to operational assignments such as defining and setting risk appetite and embedding risk management throughout the organisation. We have significant growth plans and are looking for ambitious and dedicated professional advisors in the area of credit risk quantification: pricing models Value-at-Risk stress testing etc.

Your profile

You have:

  • a master’s degree or PhD in a mathematical or engineering discipline and a strong interest or qualification in finance
  • a professional experience of three to five years in mathematical techniques for financial applications
  • a track record in market risk modelling including stochasctic models in the context of pricing models risk models (such as Value-at-Risk and Stress Testing) data models etc.
  • preferably an expertise in the related regulatory and accounting areas; it includes Internal Model CVA ICAAP IFRS7 IFRS9 etc.
  • effective communication and presentation skills and you are a team player
  • fluency in English; knowledge of Dutch and French is an asset

How to apply?

Make sure you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.
Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to . 
Application and more information:

More Jobs ?


Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
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Job – Stepstone – Computational Linguist for Semantic Search


Computational Linguist for Semantic Search


Your responsibilities

  • Work on the specification and design of projects that contribute to the improvement of quality in job search and CV search
  • Work on the testing and maintenance of quality for ongoing projects
  • Process and analyze data to inform the evolution of semantic search
  • Implement tools to extract value from data resources
  • Be responsible for the quality of linguistic resources (taxonomies,  dictionaries, grammars)
  • Monitor developments in semantic search technology and evaluate for the recruitment domain

Our requirements

  • Degree in Computational Linguistics, Computer Science with Linguistics or professional experience with Natural Language Processing/Text Analytics
  • Professional or high-level academic experience with information retrieval/semantic search
  • Experience in at least two of: natural language processing (including symbolic or statistical parsing), machine learning, data mining, computational semantics
  • Experience with writing grammars for natural language
  • Experience with writing code for text analytics
  • Fluent English speaker (the working language is English)
  • Good knowledge of German is a plus
  • Knowledge of either French or Dutch is desirable
  • Experience of software such as Weka, Mahout or Lucene is a plus
  • Previous experience in software development in a professional context is a plus



StepStone is a company with clear goals and visions. We focus on growth through innovative solutions, service quality and qualified employees.

From the very first day at StepStone you will be welcomed and supported by a cooperative team. As part of our training concept, you will receive basic training for your work and the recruiting market during your first weeks with us.

In addition, we offer an attractive, performance-led remuneration package and the opportunity to tackle the task with above-average development opportunities and long-term perspectives in an innovative environment.

We look forward to receiving your application in English.


Julie Coomans
+32 2 209 98 49
E-mail versturen

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Job – Alten – Business Intelligence Consultant


  • You gather business requirements from customer to generate a correct project planning.
  • You are responsible of data analysis and mining, predictive analysis, dashboard/scorecard/report analysis and development.
  • You are in charge of data modeling and warehousing.
  • You are responsible of strategy development for fine-tuning BI processes.


  • You have min 5 years of experience in BI related projects, preferably in Business Analysis and project management roles.
  • You have a good knowledge in the management of specific tools such as: Qlikview, Business Objects, Cognos, Microstrategy.
  • Knowledge on report building and back end development of said tools is an asset.
  • You have effectively worked with and managed data mining/integration tools such as Informatica, Talend, SAS.
  • You have a relevant experience with PL/SQL.
  • You have a good knowledge of BI processes and services (BI project lifecycle and deliverables, performance management, Data warehousing, ETL, Big Data).
  • You speak French and/or Dutch and you are fluent in English.
  • You possess operational and proactive skills with process-oriented mentality.
  • You are a good listener and communicator, convincing and pro-active.
  • You are autonomous, you can manage your own priorities but you are also a team player.
  • You feel good with initiative and motivation to reach planned & ambitious goals.

Company offer

  • Young, dynamic & international company culture.
  • Pragmatic working environment with regular, personalized feedback.
  • Low hierarchy and accessible management.
  • Innovative and fast growing company that values entrepreneurship.
  • Competitive salary package.


Job – AkaBI – Oracle Consultants

AkaBI - IT Solutions & Business Intelligence

AkaBI – IT Solutions & Business Intelligence

Belgique – Luxembourg – Onbepaalde duur –  Freelance  – > 6 maanden ervaring – Bachelor (3 jaar)

As part of our solid growth plans, AKABI is looking for Oracle consultants to strengthen and expand our Business Intelligence team. AkaBI – Oracle Consultants

As part of our solid growth plans, AKABI is looking for Oracle consultants to strengthen and expand our Business Intelligence team.

Job description

  • You will assist our customers in the functional studies, technical architecture, design and/or the development of Business Intelligence solutions.
  • Depending on your experience and expectations, you help AKABI to expand its activities and gain responsibilities (people management, sales/technical lead…).


  • You have a Bachelor or Master degree.
  • You have good working experiences and references
  • You have good analytical skills
  • You have a very good knowledge of French and/or Dutch and English.
  • You have good interpersonal skills
  • You have an expertise in using at least one of the following tools :
  • Oracle ETL solution (OWB, ODI)
  • Database / Tuning tools (Oracle 10g, Oracle 11g, TOAD, …)
  • Oracle BI Suite (OBI, OBIEE,…)
  • Development language / tools (PL/SQL, Apex, …)


  • A chance to work in challenging environments and projects
  • Concrete evolution of your career (mission, internal functions…)
  • Competitive salary with extra & direct benefits
  • Company

Beschrijving bedrijf

AKABI is an international IT consultancy company specialized in Datawarehouse and BI related topics. We are experts in Databases, ETL/ELT, Reporting, Metadata Management and Data Quality. We are established in Belgium and Luxembourg and we focus on quality and long term relationship. Our consultants are providing either a time and means consultancy or fixed-priced projects. Our Strategy can be summarized by: – Ensure the personal and professional development of everyone – Become a BI reference company on the market – Ensure a healthy growth (no debt, no turnover) – Focus on quality instead of quantity By joining AKABI, you will gain responsibilities into AKABI structure (recruitment process, infrastructure, marketing/event lead, training proposals, technical studies,…). Our door are wide open to any kind of challenge. Every initiative is studied and discussed. Everybody is an active actor of the development of the company. AKABI is born with a clear and well define goal : offer best in class services to our customers and offer best in class quality of life to our consultants. Our values are : – Quality: We prefer to invest in quality rather than in quantity (realistic and qualitative expansion of our company, 0 debt policy, etc). – Communication: AKABI encourages on 100% communication approach for each action. The collaboration between AKABI and its consultants is based on a total transparency: contractual aspects (car policy, internal rules, organisation,…), communication of financial results,… – Fun: At AKABI, we believe that you should have fun in everything you do and that it contributes to your personal development and fulfillment. Therefore, we discuss about your personal expectations and we organize many internal activities (diners, travels, team events,…). Join us and discover a new and innovative consultancy model!

Toon volledige beschrijving