Posted:-1 days ago|
Platform:
Work from Office
Full Time
Experience with NLP, deep learning, or time series analysis.
Experience deploying models to production environments.
Knowledge of regulatory requirements and compliance in banking and finance.
Familiarity with MLOps practices and tools.
Experience with Agile methodology and tools (JIRA or Rally)
Bachelors 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).
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