Senior Data Scientist

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Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

• This is a hands-on, delivery-focused Senior Data Scientist role leading the design and development of advanced Agentic conversational AI solutions in the banking domain, with a primary focus on Connect AI Agents, Agentic Prompts, and intent/slot tuning built on Amazon Connect and Amazon Lex.
• The role requires deep engagement with experimentation, data analysis, and NLU asset tuning to continuously improve conversational quality and intent/slot performance within established IVR solutions.
• This is an execution-heavy position suited for someone who can ramp up quickly, contribute immediately, and operate with minimal oversight within an established delivery model.
• Success in this role depends on strong analytical rigor, close collaboration with the onshore lead, and the ability to translate technical findings into clear recommendations for leadership and project stakeholders.

• Support end-to-end delivery of Agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Amazon Lex
• Run and interpret experiments related to intent recognition, slot-filling performance, utterance handling, and overall conversational quality
• Perform hands‑on analysis of interaction data, model outputs, and test results to identify issues and improvement opportunities
• Tune intent descriptions, training data, prompts, and related NLU assets to improve performance
• Work closely with the onshore lead to refine slot-filling approach, conversation behavior, and delivery priorities
• Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU and intent understanding
• Prepare clear summaries of findings, recommendations, and performance results for leadership and project stakeholders
• Help drive execution against delivery timelines by identifying risks, resolving issues, and maintaining strong analytical rigor.

• 5+ years of experience in data science, machine learning, NLP, or a related field
• 2+ years of building GenAI solutions
• Strong hands‑on experience with analytics, experimentation, model evaluation, and performance tuning
• Experience working on conversational AI, NLU, chatbot, virtual assistant, or IVR use cases
• Strong familiarity with Amazon Connect and Amazon Lex, or highly comparable experience with similar conversational AI platforms
• Exposure to LLM, GenAI, or modern NLP techniques relevant to intent understanding and conversational AI
• Ability to ramp up quickly and contribute immediate value in a delivery-oriented environment
• Strong written and verbal communication skills, including the ability to present work clearly to leadership and partner teams.

• Experience tuning intent classification, slot-filling, fallback handling, or dialogue behavior in production environments
• Strong Python and data analysis skills for experimentation, reporting, and model evaluation
• Experience…