Lead Data Scientist
First seen by Alion on Sep 25, 2026.
Role Overview :
We are looking for a Lead Data Scientist / Applied AI Lead to lead Battery Smart's Data Science, Machine Learning and Applied AI charter.
This is a mid-level leadership role responsible for managing a team of Data Scientists / Analytics professionals while remaining hands-on with critical business problems and AI initiatives.
The role will own the Data Science roadmap, drive production-grade ML and AI solutions, and partner with Product, Engineering, Operations and Leadership to translate complex business problems into scalable, data driven solutions.
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 :
1. LLM-based applications.
2. RAG (Retrieval-Augmented Generation) pipelines.
3. Embeddings, agent workflows, and decision-support systems.
4. 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 :
- 7+ 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 role - you 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 India's fastest-growing EV infrastructure companies.
- Play a key role in shaping Battery Smart's data science and applied AI culture, while mentoring future leaders in the team.
Skills
Data Science, Data Scientist, Artificial Intelligence, Machine Learning, LLM, RAG, Computer Vision