PRÁCTICAS EN ANALISTA VALORES RESIDULES
VOLKSWAGEN RENTING, S.A.
El Prat de Llobregat
(Barcelona)
T/2018/29188
What does the company offer?
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1 internship vacantNone
en VOLKSWAGEN RENTING, S.A.
de 12 meses
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Study assistance of 1,200.00€ gross monthly
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8h. diarias
en Jornada partida
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Work Center
en Spain:
Av. Baix Llobregat
El Prat de Llobregat (Barcelona)
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La beca incluye matrícula en Máster en Decision Making and Innovation 2.0 (Universidad de Alcalá)
What profile is the company looking for?
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University graduate or University preBolonia graduate:
Grado en Estadística, Grado en Matemáticas, Máster en Computación
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Language Competencies:
level B2 of English.
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Competencies:
Iniciativa y espíritu emprendedor, Capacidad para trabajar de forma autónoma, Gestión de la información, Capacidad de análisis y síntesis, Motivación.
Competency tests
As part of the selection process you will have to carry out these tests:
Proposed training plan
Colaborar en el diseño e implementación de análisis avanzados.
- Discover the optimal offer for fleet customers / filter all available offers based on historic data and recommend the n most relevant ones (SVD / PCA / VISUALIZATION)
- Whom and when should we recommend a follow-up financing? (DECISION TREES / LOGISTIC REGRESSION)
- Development of cost functions for wear parts to create new products (e.g. a customer can freely choose which parts he wants to insure) (MIXED MODELS / DISTRIBUTION FIT)
- Increase automatic acceptance rate of bills ) (BY APPLYING NEURAL NETWORKS OR OTHER ADVANCED ALGORITHMS)
- Chatbot to support customer service (NLP)
- Automating Customer Service (Classifying incoming emails, Next Best Service, Loyalty) (CLASSIFICATION TASK)
- Calculate „Next“ individual per customer (replace clustering) and recalculate the residual value dynamically (Autokredit) (SCORING MODELS / NONLINEAR SOLVING ALGORITHMS)
- New credit scoring model as POC „Challenge the Champion“ (CREDIT SCORING)
- Further evolution of Residual value regression and its forecast (GLM / TIMESERIES / ARIMA)
- Next best offer (RECOMMENDER SYSTEMS)