Detailed JD: HYBRID

Location - Bangalore / Hyderabad / Pune / Kolkata / Gurugram / Mumbai / Chennai

Lead Data Scientist / ML – Forecasting & Scenario Modelling

About the Role

We're looking for a hands-on data scientist & ML engineer to build and scale our data science capability. You'll lead a team that builds forecasting, time-series, scenario and scoring models and takes them all the way to production.

What You'll Do

- Manage and grow a team of data scientists and ML engineers through 1:1s, hiring, feedback, and career growth.
- Own the roadmap and deliver ML projects end to end, from POC to production.
- Stay hands-on: write code, review PRs, and jump into production issues.
- Build forecasting, time-series, and scoring models on real-world transactional data.
- Make key technical calls on model architecture, pipelines, and deployment.
- Keep production ML systems reliable, including performance, drift, latency, and cost.
- Partner with product, data, and platform teams to unblock the team's work.

What You Need

- 7+ years building ML systems, with 4+ years managing engineers or leading a team.
- Proven experience building forecasting and time-series models, using both statistical approaches (ARIMA, ETS, Prophet) and ML approaches (gradient boosting, deep learning).




- Experience with messy temporal data, such as seasonality, gaps, trend shifts, and irregular patterns.
- Hands-on experience across the full ML lifecycle: data, training, deployment, and monitoring.
- Strong Python, SQL, and ML framework skills (scikit-learn, PyTorch or TensorFlow), and comfort in cloud ML environments.
- MLOps experience covering experiment tracking, model registry, CI/CD, and monitoring (ML-flow or similar).
- A track record of shipping ML to production, not just experimenting.
- A clear communicator who can lead people and still ship code.

Nice to Have

- Financial services or fintech experience.
- Familiarity with Azure / Microsoft Fabric, ML-flow, Weights & Biases, or similar tools.
- Experience scaling a team through growth.

Example Use Cases You'll Work On

- Forecasting customer cash flow and account balances.
- Detecting recurring patterns such as pay cycles and regular bills.
- Identifying seasonal behaviour and trend changes over time.
- Building customer engagement or confidence scores from transactional data.

[email protected] Pay: ₹5,000,000.00 per year

Perks

- Health insurance
- Provident Fund

Work Location: In person

📌 Lead Data Scientist / ML – Forecasting & Scenario Modelling (Bengaluru)
🏢 FUTURESOFTINDIA
📍 Bengaluru