Description :

Company Overview :

Battery Smart is Indias largest and fastest-growing battery-swapping network for electric two and three-wheelers.

Founded in 2019 and launched in 2020, we are changing the game in the EV sector by making electric mobility accessible, economical, and scalable through a unique partner-led model.

Today, we power the journeys of over 1Lakh+ drivers daily through 1,600+ swap stations across India.

Role Overview :

We are looking for a hands-on Senior Data Scientist / Applied AI Lead to build, deploy, and own business-critical AI and data science systems at Battery Smart.

This role goes beyond experimentation you will work on production-grade ML and Applied AI systems, while also mentoring a team of young analysts/data scientists and shaping our data science culture.

Key Responsibilities :

- Own end-to-end data science and machine learning solutions across demand forecasting, fraud detection, underwriting, driver behavior analysis, and network optimization.

- Design, build, deploy, and monitor time-series, geospatial, statistical, and real-time predictive models in production.

- Lead Applied AI and GenAI initiatives, including:

- LLM-based applications.

- RAG (Retrieval-Augmented Generation) pipelines.

- Embeddings, agent workflows, and decision-support systems.

- Use cases such as call transcript analysis, ops intelligence, and automated insights.

- Drive Computer Vision use cases, including face recognition, OCR, misuse/fraud detection, and asset monitoring.

- Take complete ownership of projects from problem definition and data acquisition to deployment and performance tracking.

- Mentor and guide junior analysts and data scientists, setting high standards for problem-solving, code quality, and execution.

- Work closely with Product, Engineering, Operations, and Leadership to translate ambiguous business problems into scalable AI-driven solutions.

Qualifications & Skills :

- 4+ years of strong hands-on experience in Python and SQL (PySpark preferred).

- Proven experience in building ML models from scratch, including time-series forecasting, geospatial models, statistical modeling, and deep learning.

- Practical, production-level experience with LLMs, RAG architectures, and modern AI tooling.

- Hands-on exposure to Computer Vision models such as object detection, OCR, and facial recognition.

- Experience deploying and maintaining models using Docker and cloud environments (Kubernetes exposure is a plus).

- Strong understanding of real-time data processing frameworks and ML pipelines.

- Demonstrated ability to solve complex, ambiguous problems in a fast-scaling startup environment.

- Strong ownership mindset with experience leading and mentoring teams and collaborating cross-functionally.

- Experience working with IoT and geospatial data is a plus.

Why this role :

- This is not a research-only roleyou will build, deploy, and scale AI systems that directly impact revenue, assets, and operational efficiency.

- Opportunity to own high-impact AI systems end-to-end in one of Indias fastest-growing EV infrastructure companies.

- Play a key role in shaping Battery Smarts data science and applied AI culture, while mentoring future leaders in the team.