Data Scientist

We are seeking a seasoned data scientist professional with expertise in analytics and statistical modelling. As the Data Scientist, you will play a crucial role in developing modelling area in the bank.

Key Responsibilities

• Collect and analyze data from various sources, including internal systems, Credit Bureaus, to identify trends, patterns, and opportunities and propose changes in credit policy or marketing activities.
• Develop and maintain statistical and Machine Learning models e. g. scorecards for various areas (credit risk, marketing, operations).
• Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
• Collaborate with teams within decision and analytics area and other ones in different geographical locations.
• Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations
  
  

Qualifications & Experience

• Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, Quantitative Methods, Computer Science or Engineering. A Master's degree is preferred.
• Minimum of 2 years of experience in analytics or a data science field.
• Proficiency in data modelling methodologies and statistical analysis techniques.
• Market knowledge from German, Spanish and UK market will be a plus.
• Advanced knowledge of programming languages such as Python or R is preferred.
• Excellent knowledge of SQL for data extraction and manipulation.
• Experience in predictive modelling using logistic regression or/and XGBoost.
• Excellent analytical and problem-solving skills, with a strong attention to detail. Algorithmic and creative approach to solving problems.
• Proven track record of delivering impactful insights and recommendations based on data analysis.
• Fluent English to be able to collaborate with colleagues from other countries.
• Good communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
• Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.