Data Scientist

Policybazaar.com is one of Indias leading online insurance platforms. It is the flagship platform of PB Fintech, which owns the fintech brand, Paisabazaar.com, and the lending & insurance marketplace in the UAE region, Policybazaar.ae. The Policybazaar.com Group has backing from a host of investors including the likes of PE funds and other family offices. Policybazaar.com started with the purpose to educate people on insurance products and with its offerings has addressed the large and highly underpenetrated online insurance markets.

About the Role

We are looking fora Data Scientist to build and scale next-generation voice bot / conversational AI systems. You will work on real-world problems involving speech recognition, natural language understanding, LLMs, and real-time AI pipelines. This role is highly hands-on and ideal for someone who enjoys building production-grade AI systems, not just experimentation.

Key Responsibilities:

• Design and develop end-to-end voice bot systems (VAD → STT → LLM → TTS pipelines)
• Build and optimize real-time conversational AI systems
• Work with streaming ASR (speech-to-text) and TTS systems
• Develop and fine-tune LLM-based workflows for dialogue management
• Improve latency, accuracy, and scalability of AI systems
• Handle audio data processing, feature extraction, and model integration
• Collaborate with backend teams to deploy models via APIs / WebSockets
• Monitor and improve production systems using metrics and feedback loops

• Experiment with new models (ASR, LLMs, speaker verification, etc.)

Required Skills:

• 2+ years of experience in Data Science / Machine Learning
• Strong programming skills in Python
• Hands-on experience with: NLP / Speech / Audio ML systems LLMs (OpenAI, Gemini, open-source models, etc.)
• Deep learning frameworks (PyTorch / TensorFlow)
• Experience with real-time systems / streaming pipelines
• Good understanding of: ASR / TTS systems
• Model deployment (FastAPI, Docker, etc.)
• Familiarity with cloud platforms (AWS / GCP / Azure)

Good to Have:

Experience with voice bots / call center AI / telephony systems

• Knowledge of VAD, diarization, speaker verification
• Experience with WebRTC / WebSockets / audio streaming
• Exposure to low-latency system design
• Experience with vLLM or LLM serving frameworks

What Were Looking For:

• Strong problem-solving mindset
• Ownership of end-to-end systems
• Ability to work in a fast-paced, startup-like environment
• Someone who can balance research + production