Data Scientist will be responsible for collecting, mining and analysis of retail banking data, generation of fact-based insights allowing better understanding of customers’ needs and development of Machine Learning solutions.  The Data Science/Business Analysis Team is in the structure of the Decision Management Department - working closely with all the other Global Customer Banking GCB units.

Key tasks:​

• Collection, mining and analysis of data and generation of fact-based insights.
• Utilizing various data sources and analytical techniques to extract valuable information covering business needs.
• Presentation of insights and recommendations to business partners.
• Gathering and analysis of competitors’ data where available (local, European or global).
• Creating machine learning “data products” – deployable analytical solutions. Ensuring development and execution of digitalization strategy.
• Effective cooperation with business, risk, technology and operations areas of consumer business.
• Supporting business strategy implementation with the main goal to improve the targeting, increase the number of customers acquired and optimize acquisitions costs.

Expectations:

• Solid Python, SQL and SAS skills, experience with relational databases (necessary condition)
• Good understanding of statistics and modelling (e.g. propensity models), knowledge and experience in Machine Learning methods
• Proficiency in at least one modern data mining/statistical environment (like SAS Enterprise Miner, SPSS, Hadoop, etc.)
• Experience in development and implementation of machine learning and statistical models.
• Experience in retail banking business analysis and knowledge of banking products/processes would be an asset.
• Strong analytical skills, ability to analyze many problems from various perspectives.
• Knowledge about Big Data concepts and tools will be a strong asset
• Very good communication skills.
• Focus on a client.
• Drive for innovation.
• Engagement and orientation on results.
• Presentation skills.
• Good understanding of both written and spoken English.
• Good work organization.
• Understanding of processes and systems of consumer business.
• Economics/IT university education

What do we offer:

• Work in a unique data warehouse and business intelligence tool environment.
• Cooperation with a high quality team in a challenging area of the financial industry.
• Excellent, international working environment.
• Benefits package (including medical care, fitness card, life insurance, pension plan, cafeteria).

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