you have a PhD in Machine Learning, Computational Science, (Bio)Engineering, Data Science, or equivalent.
Expertise in statistical machine learning, data mining, big data, map reduce, Spark, python, R programming.
Plus: expertise in application of big data mining to real problems, security applications, notably credit card fraud detection
You are fluent in English.
The successful applicant will be hosted by the Machine Learning Group, co-headed by Prof. Gianluca Bontempi.
Starting date: asap
For more information please contact Pr. Gianluca Bontempi, mail: firstname.lastname@example.org.
Please send your CV, motivation letter and contact information for three references, publication list with indication of the citation number of each published paper.
KBC asked us to publish yet another job opportunity.
KBC Group Data Scientist
One of the largest bancassurers in Belgium and in the emerging markets of Central Europe, KBC is active in retail banking, insurance, private banking, asset management and corporate banking.
KBC Group employs around 37 000 people and serves approximately 9 million customers.
For more information about the KBC Group surf to www.kbc.be
Objective of the role
In a changing market environment, where customer needs are more diverse and customer expectations are more personalized, KBC group wants to optimally use the growing “data footprint” of the market to become more customer centric. and become a reference in data analytics. Ultimately, we aim to transform our business into a data driven group.
KBC therefore wants to attract internal capabilities that are highly advanced in exploiting, analysing and modelling data.
Background & Place in the organisation
The recruiting group will operate on Corporate level, working in support of all Business Units;
They will be accountable for:
Becoming the reference for Big Data expertise within the Group with regards to Data Analysis & Modelling
Overseeing a portfolio of initiatives, ensuring both knowledge sharing as well as supporting the installed corporate governance body
Feeding local Business Units with unknown insights based on data and where required, assisting them with the commercial activation of these insights
Testing commercial hypothesis as suggested by Business Units or from within the own group
Ensuring the establishment and evolution of a knowledge and technology base throughout the Group
It will therefore have a close collaborative relationship with KBC IT.
Establishing and exploiting partnerships outside KBC, academic and commercial.
The group will not be accountable for monetising the data insights within the market – Business Units are accountable for this.
The personal objectives will be derived from the group objectives.
Louvain, with regular trips to other KBC headquarters internationally.
Profile and Education
Educational background (academic or otherwise)
Master’s degree in a technical study such as mathematics, applied science, computer science, physics, chemistry, econometrics, actuary, etc.
Technical Skills (key skills in bold)
Fundamentals: SQL, OLAP, JSON and XML
Statistics: Exploratory data analysis, Bayesian statistics, Probability Theory, Regression, Correlation, Monte Carlo, hypothesis testing
Programming: Python/R/SPSS, Web scraping, reading various kinds of data, Java, .NET, C#