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DEUTSCHE TELEKOM
SERVICES EUROPE SLOVAKIA
SERVICES EUROPE SLOVAKIA
Credit Data Scientist
Place of work
Žriedlová 13, Košice
Contract type
full-time
Information
about the position
With your new position you take over the support of the telecommunication operators within Deutsche Telekom group regarding credit scoring and data mining activities to foster profit based decision making in credit management.Your main task is the on-site development and maintenance of credit and profit scoring models to steer the automated credit check decision for residential and SME customers, the identification of new data sources and the support of the local credit management experts in accessing and analyzing data.
In addition you will:
• Ensure that a group-wide consistent value maximizing approach is used for credit check and credit limit monitoring operations.
• Support of projects for optimization and standardization
• Develop machine learning logistic regression algorithms for information extraction, classification and prediction and build PD models
• Develop and implement advanced methods for model validation.
• Identify available data resources within the company and develop and evaluate potential new usage ideas
• Act as a trainer and foster new data science skills development for colleagues across Europe
What we expect
from the candidate
Candidates with education suit the position
University education (Master's degree)
Educational Specialization
Degree in business management, data science, statistics or mathematics
Language skills
English - Advanced (C1)
Other knowledge
Microsoft Excel - Advanced
Microsoft PowerPoint - Advanced
Microsoft Outlook - Advanced
Microsoft Word - Advanced
Python - Advanced
Microsoft PowerPoint - Advanced
Microsoft Outlook - Advanced
Microsoft Word - Advanced
Python - Advanced
Personality requirements and skills
• 3-5 years of professional experience in credit scoring or customer lifetime value assessment preferably in the telecommunication industry with a knowledge of the mid/south/east European market
• Fluent English (level C1)
• Outstanding knowledge of modelling in R / Python (will be tested)
• Knowledge of SAS, Knime, Rapid Miner would be an asset
• Knowledge of machine learning: logistic regression, decision trees, random forest, credit scorecards, WoE (weight of evidence) , IV (information value)
• Willingness to learn: modern data infrastructures (HDFS, MapReduce, Hive, Spark etc.) as well as relational database management systems
• International experience and readiness to travel up to 20 % - 40 % of the working time.
• Very good communication skills
• Excellent analytical and structured thinking
• Above-average resilience and strong commitment
• Organizational skills and assertiveness
• Additionally being proactive, the ability to work in a team and mobility all go without saying for you
• Fluent English (level C1)
• Outstanding knowledge of modelling in R / Python (will be tested)
• Knowledge of SAS, Knime, Rapid Miner would be an asset
• Knowledge of machine learning: logistic regression, decision trees, random forest, credit scorecards, WoE (weight of evidence) , IV (information value)
• Willingness to learn: modern data infrastructures (HDFS, MapReduce, Hive, Spark etc.) as well as relational database management systems
• International experience and readiness to travel up to 20 % - 40 % of the working time.
• Very good communication skills
• Excellent analytical and structured thinking
• Above-average resilience and strong commitment
• Organizational skills and assertiveness
• Additionally being proactive, the ability to work in a team and mobility all go without saying for you
ID: 3154196
Dátum zverejnenia: 21.9.2017
2017-09-21
lokalita: Košice Pozícia: Back Office Specialist, Controller, Database Administrator, Financial Analyst Spoločnosť: Deutsche Telekom Services Europe Slovakia s.r.o.