Description

Our client is looking for a data scientist that will help them discover the information hidden in vast amounts of data and help them make smarter decisions and deliver better experiences for their partners and customers.

Sobre o nosso cliente

Our client is an international bank based in Greater Lisbon - Oeiras.

Principais responsabilidades

• 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 desejado

• 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

Benefícios adicionais

Join a growing company.

Candidate-se através do website