Data Scientist
Ecolab Digital is seeking a Data Scientist to help turn raw operational data into prioritized, plain-language insights and recommendations that reach customers in the Institutional & Specialty segment.
You will join a team that pulls together diverse real-world signals, such as audits, inspections, sensor telemetry, checklists, and third-party sources, into one coherent view, then works across classical machine learning, LLM-based applications, and emerging agentic workflows to decide what matters and say why. Partnering with product, engineering, and business stakeholders, you will take problems from data exploration and modeling through deployment and monitoring, contributing production-grade components that customers and internal teams rely on to make decisions. You will apply established data science practice while learning and deploying the newer GenAI craft on real, customer-facing work.
What you will do
• Build, test, and deploy analytical and machine learning solutions such as classification, forecasting, summarization, Q&A;, recommendations, and decision support,



using data from diverse internal and external sources.
• Train, tune, and evaluate machine learning models, and defend your choices with sound error analysis rather than a single accuracy number.
• Build GenAI applications on LLM APIs: structured prompts with output schemas, retrieval-augmented generation over vector indexes, and GenAI reasoning combined with deterministic logic for reliable, auditable outputs.
• Contribute to multi-step AI workflows for task and goals based agents.
• Prepare, structure, and validate datasets so data quality and model reliability are earned, not assumed.
• Deploy solutions into cloud settings using established engineering and CI/CD practices.
• Monitor deployed models and AI systems, and support performance, reliability, latency, and cost efficiency after launch.
• Build dashboards and visualizations that turn model output into decisions stakehold

📌 Data Scientist Bengaluru
🏢 Ecolab
📍 Bengaluru