Many students are reluctant to the idea of an internship. A lot of them have the wrong idea of what working as an intern is like. First of all, get rid of the stereotype of the student whose tasks ...
Vadis Technologies is a startup, working in the regtech industry, specialized in Big Data Analytics, Data as a Service and smart Business Intelligence.
We transform public and private data into a structured database to help our clients gain insights about risks. With our unique Data-Analytics-as-a-Service approach, we harvest and enrich complex business data to offer risk scoring, KYC solutions and 360° third party monitoring.
You will contribute to our research activities by applying modern data analytics and machine learning on a variety of structured data, to discover insights, causalities, create predictive models, machine-learning algorithms.
Passionate by data science ! you will :
Develop automated data preparation processes using tools (Talend, Spark, Knime, Elasticsearch, TigerGraph) to solve challenging problematics such as data entity recognition, network analysis and pattern extraction, features engineer to support positive and negative predictive models.
Translate business problems and potential actions into decision processes based on insights from 360° view datasets or from predictive models built with Python, XGBoost or stacking methodology.
Develop/use processes or tools to monitor models performance and accuracy via reports on AUC/Lift metrics, local and global interpretation, overfitting and backtesting, etc.
Develop/use processes or tools to monitor data processes performance and accuracy via KPI reports.
Extend company’s data with third party sources of information when needed.
Scan horizon to stay up to date with latest technology, techniques and methods.
Master’s degree in Big Data and Analytics, Statistics, Mathematics, Computer Science, or related field;
Fluent in English (verbal & written). French or Dutch is a plus;
Having 1-2 years’ experience in data transformations and analytics projects is an asset;
Eligible to work in Belgium;
Job Type: Internship
Are you passionated by data science ?
Une expérience avec une équipe passionnée
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- English: good