Contribution and key responsibilities:
- Develop and deploy machine learning models to enhance customer personalization, drive sales, and detect fraud
- Create and implement data science solutions using supervised and unsupervised learning to address business challenges
- Analyze large datasets to identify patterns and trends, supporting strategic decision-making and optimizing operations
- Collaborate with cross-functional teams to align data science initiatives with business goals and integrate models into processes
For efficiency and effective role performance:
- 1+ years of experience as a Data Scientist, Quantitative Researcher, Quantitative Analyst or a similar role, preferably within the banking or financial sector
- Design and apply appropriate statistical and machine learning models to address business problems
- Utilize advanced Python skills and machine learning libraries (e.g., Numpy, Pandas, Scikit-learn)
- Apply statistical and machine learning models (e.g., regression, tree-based models, PCA) to drive business impact
- Demonstrate strong problem-solving abilities and experience in SQL and relational databases
Prospects and opportunities:
- To be successful and receive recognition - with us, the path from a personal initiative to a working practice is quick and short
- To feel understanding and support – every day we build and preserve the pleasure of our work together