Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Scientist in Banking or a similar domain
Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering.
Strong knowledge of statistics, machine learning, and data mining techniques.
Experience with data visualization tools (e.g., Tableau, Power BI).
Experience with Big Data Platforms (Hadoop).
Familiarity with SQL and working with relational databases.
Excellent problem-solving, communication, and collaboration skills.
Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
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