The Venue – Data Innovation Summit – Brussels – March 26

 DIS2015 The venue:

  1. Adress: Boulevard du Souverain, 25. 1170 Bruxelles. Téléphone : +32 2 678 6111.
  2. Public transport:10 minutes walk from Metro Hermann Debroux
  3. route
  4. Parking space has been reserved on the Tenreukenlaan, the AXA parking will not be available for the participants to this event.
 aula Main Aula holds max 300 seats : first in first served !
Make sure you arrive on time because the main presentation aula can only hold 300 people. For fire safety reasons security will not allow more than 300 people in this room. We have added screens outside for those who will be arriving later. All presentations will be recorded.
 speakers corner Speakers & Demo Corner:

Outside the aula we have reserved an area for open and free presentations. This area will also be used to product presentations of max 5 minutes.

 exhibitors hall Hall for exhibitors:

You will have the pleasure to meet many specialised companies and experts in the exhibition room.

 the-press-room The Press Room:

Members of the press will have their own press room to conduct interviews and to gather information about the speakers and exhibitors.

Advertisements Launches Data Science Platform to the Public

Sense is an online data science platform providing you the capability to easily perform your entire data science workflow via a browser

Data Science 101

Sense has launched to the public today, March 18, 2015.  Sense is an online data science platform providing you the capability to easily perform your entire data science workflow via a browser.  No need to provision new servers or install software, just click “New Project” and start your analysis.  The Sense platform includes the following features:

  • Languages: R, Python, Julia, SQL
  • Simple collaboration for teams
  • Easily Scale up or down with just the click of a mouse
  • Scheduled Tasks
  • Notifications for completion of long running tasks
  • An on-premise Enterprise version

I have been one of the early beta-testers for Sense, and  I have previouslywritten about using the platform.  I really like the platform.  I find it easy, intuitive, and clean.  Plus, I love being able to run all my analysis with just my chromebook. So, go signup and please feel free to follow me at as I am…

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ReservoirLab (UGent) wins $100 000 with the National Data Science Bowl competition.

Reslab (Ugent) team wins 100k $

Reslab (Ugent) team wins 100k $

On March 17th the team of Reservoir Lab at Ghent University won the the first-ever National Data Science Bowl competition on Kaggle.

For us, data science is more than a skill or profession. It is a calling and a way of life. It rewards grit as much as talent. Failure, curiosity, and small successes lead to discovery. Data science grants the power of entire nations or corporations to the individual. It gives a megaphone to those who were previously silent. Our purpose is bigger than any one of us.

Booz Allen and Kaggle sponsored the first-ever National Data Science Bowl, a nationwide competition that uses data science techniques to take on a global challenge. In just 90 days, this competition produced:

  • 1,293 participants
  • 1,049 teams
  • 15,120 submissions
  • And several break through solutions

Congrats to the winners, Team Deep Sea!

– See more at:

Pieter Buteneers explains:

Out of the 1049 teams we succeeded in winning the 100 000 dollar prize.

The purpose of this competition was to automatically classify images of plankton.

Our  technique will now be used by the Hatfield Marine Science Center to follow the change in marine life and to map climate change.

The ResLab @ugent_fea team will give a talk at the Data Science Summit on their winning submission.

The team was composed of Sander, Jonas, Jeroen, Aaron, Ira, Pieter and Lionel.

More details on their winning solution can be found on <>

Congrats to the winners, Team Deep Sea!

– See more at:

The DIS2015 Challenge – Be the first to analyse the survey results

The challenge

The Challenge:

Be the first to analyse the results of the DIS2015 survey

We share our data you share your analysis

  1. Be the first to analyse the results of Data Innovation Survey 2015
  2. Write a blog and published your results before the 25/03 18:00 on
  3. Present your results at the Data Innovation summit on 26/3

Who can participate:

  • Only participants to the survey will have access to the data.
  • Academic teams, teams of consultants, individuals.
  • Remote teams are also welcome to join

The Dataset:


The Jury:

  • A jury of 5 experts
  • Extra bonus points will be awarded for the each additional survey the team manages to gather.

What you win:

  • Fame & your dedicated place on the Wall of Fame of the Brussels Data Science Community.
  • Your picture taken by Basel Photography
  • Your blogpost will also be posted on other famous datascience bogsites (eg DataScienceCentral)
  • A place in the finals that will be organised on April 16th.

May the best team win …

Reserve your seat for the finals now:

Finals of the DIS Challenge

Thursday, Apr 16, 2015, 6:30 PM

No location yet.

1 Business & Data Science pro’s Attending

The Challenge:Be the first to analyse the results of the DIS2015 surveyWe share our data your share your analysis• Be the first to analyse the results of Data Innovation Survey 2015• Write a blog and published your results before the 25/03 18:00 on• Present your results at the Data Innovation summit on 26/3Who can parti…

Check out this Meetup →

Don’t forget to forward the survey to your peers !

logo survey

please forward this link to your peers:

Free webinar on Analytics in a Big Data World by Bart Baesens.


Nice overview on how analytics and datasciences are used in a bigdata world.

Professor Baesens will be present at the Data Innovation Summit on March 26th in Brussels.

He will present his latest book about Big Data Science.

Join us, you can get your free full day access pass when you  answer the Data Innovation Survey 2015.

Enjoy the webinar …

Join our next event

Please register using this meetup page:

Summit: Data Innovation Summit – Made in Belgium

Thursday, Mar 26, 2015, 8:00 AM

AXA building
boulevard du Souverain, 25 Watermael-Boitsfort, BE

450 Business & Data Science pro’s Attending

Toon Vanagt- Laurent Fayet – Filip Maertens – Kris Peeters – Vincent Blondel –David Martens – Hans ConstandtThe Data Innovation Summit in Brussels is a one day conference gathering all the Belgian actors facilitating data innovation. It is an action packed conference where more than 50 speakers will demonstrate what they do that helps us compete i…

Check out this Meetup →

16/3 Sneak Preview of the first results of the Data Innovation Survey 2015

logo survey

16/3/2015 – Already 220 people have answered our first DIS2015 survey.

If you want to received your free access pass to the Data Innovation Summit, please follow this link:

Here is for you a sneak preview:

Over 80% of our members have at least a Master degree.





Job – B&D – Analytics and Data mining Consultant – Brussels



You will be assisting in the co-ordination and implementation of financial crime consulting offering by:

  • providing project support
  • drafting business requirements and delivering analytical data mining assignments and statistical models to monitor and review the data mining and analytics conducted for patterns and anomalies indicating possible tax fraud
  • to facilitate effective follow-up to identified issues, ensure completeness of analytics follow-up and to promote enhanced methods/processes in system-wide data analysis, including recommending additional ongoing and ad-hoc queries, in relation to fraud detection

Among principal assignments, the successful candidate will:

  • Perform business analysis to support the deployment of fraud prevention analytical models
  • Lead/Perform data and quality analysis including data mapping reviews, data validation and remediation, alert validation and issue impact analysis
  • Communicate with clients to assess solution fit and identify product gaps
  • Perform statistical analysis and tune our growing model set
  • Respond to Business and Functional requirement requests


  • Knowledge of data mining and analytics including statistical and predictive analysis, quantitative and qualitative data analysis methodologies
  • Research and investigation methodologies, and ability to utilize queries and tools and analyze data sets from large, complex and disparate systems, in order to research and analyze a broad range of data
  • Knowledge of fraud and of methodologies and best practices in the detection/control of fraud including fraud techniques/practices, fraud concealment, tax fraud criminal offenses, anti-fraud techniques, fraud investigation:
  • Certified SAS professional with a strong background in the use of analytical tools and statistical software, especially SAS Enterprise Miner
  • Oral and written communication skills, to liaise and consult with various parties to gather and assess data and to prepare reports and proposals with a minim of French and Dutch or which ideally both if not one fluent in writing and speaking.


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 .

Overview of the Academic Data Science programs in Belgium by Bart Hamers

Bart Hamers

In this article, I try to make an overview of the academic programs on data science currently given in Belgium.

I wasn’t very selective in my choice as data science is a very broad domain. All educational tracks will have components of statistics, machine learning, artificial intelligence or other related domains. Upon you to decide which program best fits your needs and interests.

In this overview my main focus was on the master-after-master programs. But some normal master programs were also added to the list, as they specialize in data science related field.

These programs typically take place over one or two academic year and are open to anybody with the necessary prerequisites.

I tried to be exhaustive, but might have missed some. Please use the comment box at the end of the list to communicate updates.



University of Brussels

Master of Science in de ingenieurswetenschappen: computerwetenschappen

More info can be found here.


University of Antwerp

Master in computer science with a specialization in  data science: profile Artificiële Intelligentie

More info can be found here.

University of Gent

Master of Science in Marketing Analysis

This 9-month full-time program in predictive analytics (from October to July) is taught 100 % in English. Students will receive classes by world-renowned experts in their field. Data-mining techniques are introduced in the application domain of analytical Customer Relationship Management (CRM)/Marketing. The main emphasis is on classification techniques (binary as well as multi-class): starting with the classical statistical techniques (e.g. logistic regression) over decision trees (including random forests) to artificial neural networks. Sufficient time is also devoted to the modeling process as such (Knowledge Discovery in Databases including the data pre-processing step) as well as checking (predictive) model quality, e.g. AUC on a test sample.

More info can be found here.

Marketing Engineering

Marketing Engineering is an elective part of the two-year master program of Business Engineering at Ghent University. It offers five in-depth courses about analytical Customer Relationship Management (CRM)/Business Intelligence topics in English covering data-mining techniques.

More info can be found here.

Master of Science in Statistical Data Analysis

The Master of Statistical Data Analysis is a one-year advanced master program, but it can be competed in 2 to 4 years as a part student. The program offers training in modern statistical methodology and data analysis from a wide variety of fields, including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences.

More info can be found here.

University of Leuven (KUL)

Master of Artificial Intelligence

The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial

intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data.

Within the programme students have the choice between three options:

More info can be found here.

Master of Financial and Actuarial Engineering

The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. It is an intensive, advanced, one-year programme for university graduates interested in a career in risk management, financial and/or actuarial engineering within financial institutions. The discipline focuses on the application of quantitative methods to problems involving risk or uncertainty. You will gain an understanding of current and future problems and solutions in insurance and banking and be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques.

More info can be found here.

Master of Statistics

MSc in Statistics, an interdisciplinary programme whose teaching is grounded in internationally-recognised research. Choose from

among a number of approaches: biometrics, social behavioural and educational statistics, business statistics, industrial statistics, general statistical methodology, or an all-round statistics profile.

More info can be found here.

Master of Bioinformatics

This interdisciplinary two-year programme focuses on acquiring

  • basic background knowledge in diverse disciplines belonging   to the field of bioinformatics, including statistics, molecular biology and computer science
  • expert knowledge in the field of bioinformatics
  • programming skills
  • engineering skills

More info can be found here.


University of Leuven (UCL Louvain-La-Neuve)

Master in Statistics

The Master in Statistics will enable you to become acquainted with the state-of-the art of statistical science and methodology. The skills and statistical competences you will acquire are highly appreciated in professional environments. The structure of the master program into orientations, finalités and options fits well to the wide variety of domains in which statistics play a vital role, ranging from medical sciences (pharmacy, public health, etc.), over human sciences (economics, psychology, etc.), to natural sciences (chemistry, biology, physics, etc.). In order to ensure tight connections with professional life in all these domains, our team of lecturers is completed with a number of statistical consultants.

More info can be found here.


University of Liege

Master in Statistics

The common courses provide the essential notions that underlie all statisticians’ activities : linear models, multivariate analysis, discrete date, non-parametric statistics, the Bayesian approach, data mining and statistics software.

The master’s professional focus offers an introduction to a variety of applied disciplines in the field of statistics (biostatistics, genetic statistics, experimental plans, databases…).

More info can be found here.


Solvay Business School

Master in Quantitative Finance

The Advanced Master in Quantitative Finance offers prospective students a rich curriculum combining finance, statistics, econometrics, programming and mathematics. This Master guarantees a full coverage of financial disciplines, such as asset and derivative pricing, numerical methods and programming skills.

More info can be found here.


Vlerick Business School

Executive master class creating business value with big data.

Obtaining maximum value from Big Data projects requires multidisciplinary knowledge in:

  • Business to comprehend the business problems and identify business opportunities that can be tackled with Big Data
  • Analytical to skilfully apply the Big Data models that create the most value
  • IT/Database to understand the IT requirements related to Big Data projects
  • Management to view process as a whole with a focus on change management and people

This Executive Master Class provides participants with the necessary skills to successfully manage this multidisciplinary competencies and to create value with Big Data in their organization.

More info can be found here.


Transnational University Limburg – Hasselt – Maastricht

Artificial Intelligence

The programme is organised under the Department of Knowledge Engineering of Maastricht University’s Faculty of Humanities and Sciences. Researchers in the department are developing intelligent systems for a wide range of applications including patient diagnosis, image recognition, traditional games like chess, interactive computer games, information retrieval and data mining.

Artificial Intelligence is a two-year master’s programme taught entirely in English.

More info can be found here.

Master of Statistics

Hasselt University’s Master of statistics with specializations: Biostatistics, Bioinformatics and Epidemiology & Public Health Methodology, keeps abreast of such evolutions. The master programme combines a solid study of principles of applied and biostatistics with up-to-date information on topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology… The specialization in Bioinformatics makes it possible to keep an even closer pace with the more specific professional needs and skills required due to the development of novel experimental techniques in molecular biology and genetics.

Hasselt University’s Master of statistics acquired accreditation from the prestigious Royal Statistical Society.

More info can be found here.


Other courses interesting for a data scientist.

  • Entrepreneurship

More info can be found here.


Short Training Sessions (Academically)


The Flames network organizes trainings for researcher. Check the very extensive training program.

More info can be found here.


Centre for permanent education (University of Gent, faculty of sciences)

Permanente vorming “Multilevel Analysis for Grouped and Longitudinal Data”

More info can be found here.

  • Special Program: Big Data  (Already started in 2015.)
    • More info can be found here.

Job – AXA – Marketing Data Analyst – Antwerp


Chez AXA Bank Europe, vous vous retrouvez dans une banque qui est en train de se repositionner et dont le slogan est: “AXA Banque – la banque toujours plus proche de vous”. Nous sommes tout à fait convaincus que nous réussirons et que nous conserverons une bonne place comme challenger sur le marché belge qui se focalise sur une offre simple et transparente de produits d’épargne (6ème du marché belge) et de crédits-logement (5ème du marché belge) pour particuliers. Avec moins de produits mais avec des produits meilleurs et des outils en ligne conviviaux. Soutenue par un réseau puissant de plus de 700 agents bancaires AXA locaux, indépendants et fortement ancrés.
AXA Banque est un acteur financier important en Belgique. Nous partageons les mêmes valeurs que les collègues des assurances et nous collaborons étroitement pour imposer au maximum la marque AXA et nos produits.
Chez AXA Banque, vous vous retrouvez dans un environnement de travail dynamique, avec des collaborateurs qui aiment les défis. L’approche se résume en un mot de 4 lettres: FAST – fair, attentive, simple & transparent. Quatre mots qui expriment la stratégie d’AXA Banque, mais aussi notre culture d’entreprise. Fair dans la gestion du personnel de la Banque; attentive, car le client occupe pour nous une place centrale; simple, car la simplicité et la simplification sont au coeur de notre travail quotidien; transparent pour la communication honnête et directe.

Job description:

En tant qu’analyste de données marketing, vous dirigez le développement et l’introduction d’outils et de méthodes pour l’analyse de portefeuilles. Vous analysez et identifiez des segments pouvant maximaliser le taux de réponse, la croissance et la rentabilité des diverses campagnes de marketing.

  • Vous soutenez l’équipe de marketing stratégique dans l’optimalisation et la segmentation des actions commerciales de marketing ;
  • Vous collaborez dans la même équipe avec les collègues analystes de campagnes, dans l’amélioration permanente du plan de contact marketing.
  • Vous utilisez des techniques d’exploration de données (« Data Mining ») pour explorer les diverses sources de données (base de données de clients, site Web, données de campagnes) et en tirer des conclusions ;
  • Vous peaufinez continuellement les méthodes et les outils de pilotage marketing et de renseignements clients ;
  • Vous livrez des chiffres et des rapports fiables et vous réalisez des analyses pertinentes sur les différentes actions marketing.

Candidates Profile:

  • Vous avez une formation supérieure (de niveau mastère) de préférence dans le domaine de l’économie, de la statistique, des mathématiques, l’ingénierie (commerciale), etc.
  • Vous pouvez mettre en avant une expérience de 3 à 5 ans dans une fonction similaire
  • Vous avez une solide connaissance des logiciels d’analyse des données et des outils d’analyse Web (SAS, Teradata, Excel, R, SQL, Google Analytics) ;
  • Vous avez un esprit analytique marqué et êtes motivé par la recherche de relations et de nouvelles interprétations
  • Vous pouvez travailler de manière autonome, mais aussi en équipe ; vous êtes résistant au stress
  • Votre travail est précis et vous avez le souci du détail
  • Votre langue maternelle est le néerlandais ou le français et vous possédez une bonne connaissance de la deuxième langue nationale


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

New Survey and (Big) Data Governance Research by Andra Mertilos


Dear friends from the Brussels Data Science community, I would like to ask for your help in conducting my master thesis research (aside from my consultancy job, I am also an MBA student at the KU Leuven) which I launched recently.

Data governance research is ambiguous in the scientific community today, mostly due to the differences existing between the concepts which form the building blocks of a governance program : data and information, governance and management, IT and business labels,…As such, there exists no homogeneous definition nor in the scientific community, nor in the practitioner one as to what data governance really encompasses. Correctly positioning data governance in todays landscape will allow for the integration of new technologies, concepts and phenomena. But for this positioning to take place, specifying a common data governance definition proves to be crucial in determining and isolating the different elements which constitute the backbone of such programs. Identifying, defining and explaining the process layers, responsibilities and decision-making structures that come together and interact in governance topics allows for prioritizing and ranking the elements which constitute a data governance program. These layers allow in return for tailoring to specific needs and requirements such as integration of new concepts and phenomena like big data technologies.

The purpose of my research is specifically to build a (big) data governance maturity model which holds for the Belgian financial sector. I choose the banking sector because of its size and complexity: such an intricate environment allows for building a larger, more comprehensive data governance model which could further be tailored to fit to other sectors.

For this purpose, based on an extensive literature review, I have built a questionnaire, in the form of a maturity assessment, which evaluates different data governance aspects : MDM, enterprise architecture, technology, applications, big data initiatives etc.

I would like to draw on your input, experience and expertise for the evaluation of this model in practice by inviting you to participate in my survey. A possible prerequisite would be to have some former experience in the banking/financial sector (in any form pertaining to data programs) but as such, it is not an exclusion criteria, as I plan to use these answers to develop a standard capability maturity model for data governance. If you choose to participate please bear in mind that you don’t have to be “able” to answer all sections – the questionnaire dealing with multiple aspects of governance – your feedback on a singular issue being also of extreme value to this research.

The link to survey can be found here:

It takes an average of 10-15 minutes to complete the survey and the link will be available until begin of April.

Feel free to contact me should you have any questions or remarks (at, any feedback is great feedback 🙂
Many thanks in advance for your participation.

About Andra Mertilos :

Andra Mertilos

Andra Mertilos


Thank you for your help in conducting my master thesis research

I am a MBA student at the KU Leuven

The link to survey can be found here: