Data Scientist

Overview :

• 1–3 years of experience in AI / ML engineering or software development.
• Experience with data storytelling through visualization.
• Experience in designing and executing end to end experiments
• Experience with vector databases, data pipelines, and retrieval systems.
• Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI.
• Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.
• Domain expertise in Personal Investment Banking (Preferable)

Key Responsibilities

• Design, develop, and deploy machine learning models that solve real-world problems.
• Extract, clean, and preprocess large, unstructured datasets from various internal and external sources.
• Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making.
• Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP).
• Perform and lead analyses of historical data to surface trends and insights using advanced analytical methods.
• Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members.

Required Qualifications

• Experience : 6+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field.
• Education : Master's degree in Computer Science, Data Science, Engineering, or a quantitative field.
• Problem Solving : Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.

Preferred Qualifications

• 1–3 years of experience in AI / ML engineering or software development.
• Knowledge of LLMs, GenAI, Prompt Engineering and Agentic AI