Function: Data Science Machine Learning / Applied AI
Were looking for a Data Scientist to own end-to-end ML models and experimentation across the company.
This is a high-ownership, execution-heavy role focused on improving conversions, call success rates, and operational efficiency.
You’ll own problems end-to-end — from metrics and experiments to production models and product impact.

Role
Own end-to-end ML systems for an AI-driven outbound call center
Work on problems directly tied to loan sales, collections, and insurance conversions
Drive experiments product changes measurable revenue impact

What You’ll Actually Work On
Build user / lead scoring models to decide who to call, when, and how
Improve conversion rates across outbound funnels (dial connect conversation conversion)
Work with rich, messy data: call transcripts, recordings, user metadata, and call-level signals




Extract insights from within-call behavior (drop-offs, objections, engagement patterns)
Design and run A/B experiments on model + product changes
Improve LLM agent performance (response quality, handling objections, conversation flow)
Identify failure points (bad targeting, poor timing, weak conversations) and solve them using data + ML
Ship models into production and iterate based on real-world performance

Requirements
Robust Python + SQL (used daily)
Hands-on ML experience (practical projects/internships)
Ability to go from raw data insight model deployment
Comfort working with noisy, real-world datasets (text, behavioral data)
Understanding of experimentation / A-B testing
Robust problem-solving + ownership mindset

📌 Data Scientist Bengaluru
🏢 Skyleaf Consultants
📍 Bengaluru