Role Overview

We are looking for a Senior / Lead Data Scientist who can own end‑to‑end data science and machine learning solutions , from problem formulation to production deployment.

This role requires a robust blend of machine learning expertise, data engineering, MLOps, cloud platforms, and technical leadership .

You will work closely with product, engineering, and business stakeholders to design scalable data and ML systems that drive measurable business impact.

Your role will include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end-to-end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to Support their skill development, qualified growth, and overall success.

Experience

4+ years

Key Responsibilities

Data Science & Machine Learning
Translate business problems into data science and ML solutions




Perform advanced EDA, feature engineering, and model development
Build and optimize:
Classical ML models (regression, classification, tree‑based models)
Time‑series, anomaly detection, and recommendation systems
Develop and fine‑tune deep learning models using PyTorch / TensorFlow
Design and evaluate experiments (A/B testing, statistical validation)

GenAI, NLP & LLM Solutions
Build NLP and GenAI applications using up-to-date LLMs
Implement RAG pipelines , prompt engineering, and vector search
Integrate LLMs using OpenAI / Azure OpenAI APIs
Evaluate model quality, latency, and cost for production LLM systems

Data Engineering & Pipelines (Good to Have)
Design and build scalable data pipelines for batch and streaming use cases
Work with distributed processing frameworks like Apache Spark
Orchestrate workflows using Airflow / Dagster / Prefect/ Azure Data Factory / Databricks
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📌 Data Scientist Ii Bengaluru
🏢 Honeywell
📍 Bengaluru