We are looking for an experienced Data Scientist with deep expertise in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). The ideal candidate will have a strong background in banking or finance, with hands-on experience in NLP, deep learning, time series analysis, and deploying models in production. You will work in an agile environment to design and implement data-driven solutions that drive business value.

Key Responsibilities

• Analyze large financial datasets to extract actionable insights and support business decisions.
• Develop, implement, and evaluate machine learning models and algorithms for banking use cases such as risk modeling, fraud detection, and customer segmentation.
• Apply and fine-tune large language models (LLMs) for tasks including document analysis, customer communication, and regulatory compliance.
• Deploy machine learning models to production and ensure reliability, scalability, and performance.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Work with data engineers to ensure data quality, pipeline reliability, and integration with analytical systems.
• Communicate findings and recommendations through reports, dashboards, and presentations.
• Follow best practices for MLOps, model governance, and regulatory compliance in the banking sector.

Required Skills and Experience

• Primary Skills: Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs).
• Secondary Skills: Data science, Python, NLP, Agile tools (JIRA, Rally).
• 10+ years of proven experience as a Data Scientist, preferably in banking or finance.
• Proficiency in Python or R, with experience in libraries such as pandas, scikit-learn, TensorFlow, PyTorch.
• Hands-on experience with NLP, deep learning, time series analysis, and large-scale model deployment.
• Strong knowledge of statistics, machine learning, and data mining techniques.
• Experience with data visualization tools (Tableau, Power BI).
• Familiarity with Big Data platforms (Hadoop) and relational databases (SQL).
• Excellent problem-solving, communication, and collaboration skills.
• Experience with Agile methodology and tools (e.g., JIRA, Rally).

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