Lead AI
Qualifications
- At least 4 years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning.
- Proficient in Python and SQL (PySpark and programming languages such as Java are a plus).
- Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others.
- Experience in developing models for production and business application use.
- Knowledgeable in or experience with the Fintech/banking industry is a big plus.
- Basic knowledge in data engineering and ML model lifecycle.
- Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime).
- Highly motivated, self‑driven, and willing to work in a team and with advanced technologies in challenging environments.
- Excellent communication skills in English and the ability to communicate technical tasks to non‑technical people.
- Good analytical skills and ability to work in an agile environment and learn quickly.
- Willing to relocate.
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or Mathematics.