Data Scientist - OEIRAS (m/f)
- Employer
- Michael Page
- Location
- Lisbon (PT)
- Salary
- To be negotiate
- Closing date
- Nov 24, 2019
View more
- Job Function
- Banking
- Industry Sector
- Commercial Bank, Credit Union, Private Bank, Savings & Loan,
- Employment Type
- Full Time
- Education
- Masters
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Sobre o nosso cliente
Our client is an international bank based in Greater Lisbon - Oeiras.
Descrição da oferta
- Develop, revise and automate scoring using machine learning techniques for our different business lines (e.g. automotive financing scorecard; automotive financing)
- Build recommendation systems (e.g. shadow limit)
- Develop internal A/B testing procedures, to be embed across our live production systems
- Build and revise existing systems for automated fraud detection
- Selecting features, building and optimizing classifiers using machine learning techniques, to optimize the existing consumer credit value chain
- Data mining using state-of-the-art methods
- Extending company's data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner to the management of the bank
- Creating automated anomaly detection systems and constant tracking of its performance
Perfil ideal
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as Python, R, Weka, NumPy, MatLab, SAS. Excellence in at least one of these is highly desirable
- Great communication skills
- Proficiency in using query languages such as SQL
- Experience with NoSQL databases, such as Cassandra
- Experience with data visualization tools
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
- Will and desire to change the existing work methodologies
- Your education level should be in line with our requirements
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