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

- Strong 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