Annuncio dedicato alle persone appartenenti alle categorie protette - legge 68/99.

Main task and responsabilities:

Attending Bank Data Driven projects by helping Businesses and Competence Lines of UniCredit to explore new sources of business or cost efficiencies opportunities.
Implementing high quality Analytical Systems by applying advanced statistical and machine learning algorithms (i.e. Neural Networks, Support Vector Machine, Random Forest, …) while managing and analyzing multiple sources and datasets of information. Together also with UniCredit Advanced Analytics, working in team with data quality experts and data preparatory engineers as propaedeutic steps for analysis and model implementation.

Job Requirements and expected level:

'• Master Degree in one of the following fields: Computer Science, Physics, Mathematics, Engineering, Statistics (PhD in Statistics or Mathematics desirable)
• Within 6-8 months of basic experience in a data science / data analysis / data mining topics (desired also behavioral analysis)
• Deep knowledge of machine learning models: Random Forest, Support Vector Machine, Gradient Boosting, Neural Networks, NLP, …
• Ability to work with programming languages (R and/or Python) and related machine learning libraries (Open Source Statistical Libraries)
• Ability in data preparation processes
• Experience with Big Data technologies is a plus (Hadoop, Apache Spark, any Big Data related tool like Scala/Spark)
• Fluency in English

Location: Milano, MM Lampugnano

Orario di lavoro: Indifferente

Il presente annuncio è rivolto ad entrambi i sessi, ai sensi della vigente normativa in tema di discriminazioni di genere

Caratteristiche richieste
Area funzionale
Area funzionale:
Area funzionale: Amministrazione - Contabilità - Finanza - Mansione: Finanza: Analista Finanziario, Finanza: Responsabile

Regione di residenza
Area di ricerca:
Regione: Lombardia - Province: Milano

Titolo di studio
Titolo di studio: Laurea breve

Lingua preferenziale:
  • Inglese

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