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Junior Data Scientist

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Companie :
DELL TECHNOLOGY SRL
Functia Jobului :
Software & analiza datelor
Industrie :
IT si telecomunicatii
Locatie :
Bucuresti
Tip job :
Program Full Time
Nivel experienta :
Junior
Vechime :
1 - 2 ani
Descriere:

Junior Data Scientist
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us as a Junior Data Scientist on our Global Decision Sciences team in Bucharest to do the best work of your career and make a profound social impact.
What you’ll achieve
As a Junior Data Scientist you will be responsible for assisting with the development and risk assessment of models across all functions of Dell Financial Services. A major focus of the role will be on the continued development and evolution of global credit application models and key European Banking & Finance regulatory models such as IFRS 9 ECL models and ICAAP models.
You will:

  • Assist in the development of new credit decision models (application & behavioral) across 28 countries and provide consultation support to the country risk teams. Support the implementation of developed models from production through UAT and deployment.
  • Help develop machine learning models to predict customer behavior in different functions across Dell Bank such as Fraud and Anti-Money Laundering.
  • Monitor and analyze model performance and metrics. Develop and maintain model documentation, policies and procedures.
  • Conduct periodic training, research and development of new models, methodologies and scorecard/model business usage.
  • Retrieval and manipulation of diverse data, performance of regular report generation, and maintenance of automated applications. Derive appropriate action recommendations based on results from the analytical work conducted.

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