Degree in data science, statistics, mathematics, econometrics or a similar field
Experience using programming languages (R, Python, SQL, etc.) to manipulate data, develop models and draw insights.
Knowledge of a variety of machine learning techniques, understanding of different algorithms and their real-world advantages/drawbacks.
Ability to use different data visualization practices to provide data-driven insights.
Excellent written and verbal English communication skills
Experience working on machine learning projects related to marketing, credit scoring or collections is an advantage.

We are looking for a Data Scientist who will support various business initiatives by providing end-to-end machine-learning solutions. The ideal candidate is adept at using large datasets to find opportunities for improving decision-making and process optimization. They must have experience with data mining and analysis, model development and implementation, using/creating algorithms and creating/running experiments. They must have a proven ability to drive business results with data-driven insights. The right candidate will have a passion for innovating and discovering different solutions in order to improve business outcomes.





Responsibilities:



Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to provide meaningful insights.
Employ machine learning and statistical methods to optimise product development, marketing techniques, credit scoring, collections optimization, and other business strategies.
Design and track performance of A/B tests providing data-driven insights.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Produce relevant documentation related to model performance.

Company share matching program
Wellness allowance
Flexible working hours
Access to LinkedIn learning with over 8000 courses
Possibility to work from home and from the office
Healthy snacks in the office
Working in a fast-growing international finance company
Opportunities for growth, the realization of own ideas and further training