Lead /Head - Data Science

The Second Office Search Partners; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

The Second Office Search Partners is seeking a Lead Data Scientist to head the Data Science / AI team, design, build, and deploy repeatable data and machine-learning pipelines and AI solutions. You will lead a team of 5 to 6 data scientists and AI engineers plus interns while remaining hands-on as a senior individual contributor.

You will own the Data Science / AI roadmap and its delivery across energy analytics, the Aetrium Assistant (Conversational AI), and agentic workflows, involved in

Qualifications

• Experience leading and mentoring a data science / ML team.
• Experience owning delivery roadmaps, sprint planning and stakeholder management.

Responsibilities

• End-to-End ML pipeline development: design, train, tune, test, and deploy robust ML model pipelines.
• Data analysis: analyze large datasets, design features, address data quality, identify patterns.
• Production deployment: configure infrastructure for pipeline execution in cloud environments.
• Roadmap ownership: own and drive technical & AI development roadmap, priorities and direction.
• Team leadership: hire, coach and grow a team of 5-6 data scientists / AI engineers and interns.
• Energy AI: EnMS & BESS analytics monitoring, forecasting and degradation-aware models.
• Delivery accountability: ensure team delivery quality, reliability and production outcomes.
• LLM application development, LLM orchestration & optimization.
• Agentic AI & workflow integration; RAG and NLP to SQL capabilities for assistants.

Skills

Leadership

Mentoring

Stakeholder management

Sprint planning

Communication

Statistics knowledge

LLMs experience

NLP concepts

Computer Vision concepts

Production AI systems

Tools

Git

Jira

DVC

MLflow

LangChain

LlamaIndex

Python

PyTorch

SQL

HuggingFace

FAISS

Pinecone

Weaviate

Spark

Airflow

APIs

STT/TTS

ML deployment

Job description

We are looking for a Lead Data Scientist to head the Data Science / AI team and to design, build, and deploy repeatable data and machine-learning pipelines and AI solutions. You will lead the Data Science / AI team pf 5 to 6 data scientists and AI engineers plus several interns while staying hands-on as a senior individual contributor. You will own the Data Science / AI roadmap and its delivery across EnMS & BESS energy analytics, the Aetrium Assistant (Conversational AI) and agentic workflows. You will be involved in the end-to-end delivery of systems. Exploring, understanding and processing data, designing and building pipelines, understanding model outputs and evaluating performance against defined objectives, and communicating these results.

Role Summary

You will also need to communicate complex technical ideas to varied audiences. You will be involved in customer interactions needed to design and deploy the solutions. Ability to understand deployability of solutions across various Industry Verticals such as Energy, Manufacturing, BFSI etc. You will hire, coach and set the technical bar for the team, and be accountable for its delivery, quality and growth.

Key Result Areas

• End-to-End ML pipeline Development: Design, train, tune, test, and deploy robust, repeatable ML model pipelines
• Data Analysis: Perform data analysis on large datasets, design features, accommodate data quality issues and identify patterns for solutions
• Production Deployment: Understand, advise and configure infrastructure for pipeline execution within cloud environments
• Roadmap Ownership: Own and drive the technical & AI development roadmap, priorities and direction

Customer Collaboration

• Team Leadership & Mentorship: build, coach and grow a team of 5 to 6 data scientists / AI engineers and interns
• Hiring & Capability Building: recruit and develop talent; set standards and ways of working
• Energy AI: EnMS & BESS analytics monitoring, optimization, forecasting and degradation-aware models
• Delivery Accountability: team-level delivery, quality, reliability and production outcomes
• Sprint Management
• Code Management
• LLM Application Development, LLM Orchestration & Optimization
• Agentic AI & Workflow Integration
• RAG (Retrieval-Augmented Generation)
• Multilingual & NLP capabilities /NLP to SQL capabilities for assistants

Job Description

• Developing Machine Learning pipelines and MLOPs
• Data analysis, data exploration, and identifying patterns
• Delivering software into large enterprise environments
• Developing or deploying models, feature engineering, model evaluation and iteration
• Understanding of statistics
• Working as a part of a team with version control technologies
• Leading and mentoring a team sprint planning, code review and delivery ownership
• Client-facing skills, or equivalent demonstration of stakeholder management
• Design evaluation frameworks for accuracy, relevance, and safety

Must have skills

• Experience using Git for code versioning
• Experience using Jira to create Sprints
• Proven experience leading and mentoring a data science / ML team
• Experience owning delivery roadmaps, sprint planning and stakeholder management
• Experience using MLOPs, such as DVC, MLflow, etc for model tracking
• Knowledge of statistical concepts
• Strong experience with LLMs (e.g., Open AI, open-source models)
• Hands-on with LangChain / LangGraph / LlamaIndex (or similar)
• Proficiency in Python (mandatory)
• Proficiency in Pytorch (mandatory)
• Proficiency in SQL (mandatory)
• Understanding of NLP concepts (tokenization, embeddings, transformers)
• Understanding of Computer Vision concepts
• Experience with HuggingFace ecosystem
• Vector Databases (FAISS, Pinecone, Weaviate)
• Experience building scalable, production-grade AI systems
• Knowledge of APIs, microservices
• Knowledge of Async processing
• Experience with Voice AI (STT / TTS integration)
• Experience with Real-time AI systems

Desired Skills

• Exposure to Multilingual AI (Indic languages)
• Experience in the energy / industrial domain (EnMS, BESS, Industry 4.0)
• Familiarity with Agent Frameworks (MCP, CrewAI, AutoGen, etc)
• Claude certification
• Experience working with large datasets using Spark, Airflow, etc