Lead Data Scientist

Data Scientist / NLP Analyst - Mid-Level (6 Years Experience)

Overview

• 6 years of related data sciences work experience.


• Minimum of 1–3 years of experience in Data Sciences, AI/ML engineering 


• Experience with vector databases, data pipelines, and retrieval systems with experience in designing and executing end-to-end experiments


• Deep Experience in RAG, LLMs, GenAI, Embeddings, Prompt Engineering and Agentic AI.


• Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.


• Domain expertise in Asset Management (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).


• Build Conversational Platform leveraging LLMs, RAG, GenAI etc.,


• 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 data sciences, AI/ML 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.