Schneider Electric Hiring: Data Analytics – Senior 2026:-
Schneider Electric is hiring experienced professionals for the role of “Data Analytics – Senior Professional” in Bangalore, Karnataka, India. Complete details are given below.
| Company :- | Schneider Electric |
| Job Role :- | Data Analytics – Senior Professional |
| Location :- | Bangalore, Karnataka, India |
| Work Mode :- | Hybrid |
| Job Category :- | Technical |
| Experience :- | 10+ Years |
Role Overview:-
Schneider Electric is looking for an experienced Data Scientist / ML Professional with strong expertise in classical machine learning, statistical modeling, and end-to-end ML lifecycle management.
The role involves taking ownership of AI/ML initiatives, developing production-grade solutions, mentoring data science teams, and collaborating with architects and product managers to deliver high-impact business solutions.
Educational Requirements:-
- Bachelor’s Degree in:
- Computer Science
- Information Technology
- Data Science
- Artificial Intelligence / Machine Learning
- Statistics
- Mathematics
- Engineering
- Or a related technical field
- Master’s Degree in Data Science, AI/ML, Statistics, Mathematics, Computer Science, or a related field is preferred.
Key Skills:-
Machine Learning & Data Science
- Classical Machine Learning
- Statistical Modeling
- Regression & Classification
- Clustering
- Time-Series Forecasting
- Feature Engineering
- Exploratory Data Analysis (EDA)
- Experimental Design (DOE)
- Model Evaluation & Optimization
Programming & Analytics
- Python
- PySpark
- SQL
- Scikit-Learn
- XGBoost
- LightGBM
- Random Forest
ML Operations & Cloud
- MLflow
- AWS / SageMaker
- Azure
- Databricks
- Docker
- Git
- CI/CD
- Model Versioning
- Model Monitoring
- Data & Concept Drift Management
GenAI & Agentic AI – Preferred
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- FAISS
- AI Search
- OpenSearch
- PGVector
- Agentic AI
- Multi-Agent Workflows
- Planner–Executor Architectures
- APIs & MCP-based Tooling
Soft Skills
- Strong problem-solving and analytical skills
- Technical leadership
- Team mentoring
- Cross-functional collaboration
- Business-oriented thinking
- Excellent communication
- Innovation mindset
- Responsible AI awareness
Roles & Responsibilities:-
- Design, build, and optimize machine learning models
- Work on regression, classification, clustering, and forecasting problems
- Lead feature engineering and data quality assessments
- Perform exploratory data analysis and statistical modeling
- Apply experimental design and rigorous model evaluation techniques
- Develop scalable and production-ready ML pipelines
- Take end-to-end ownership of ML solutions from problem definition through deployment and monitoring
- Mentor junior and mid-level data scientists
- Collaborate with architects and product managers on solution design
- Contribute to AI/ML roadmap and technical strategy
- Estimate Data Science activities for quarterly planning
- Identify and escalate project risks when required
- Implement ML-Ops practices including model versioning and monitoring
- Ensure quality through documentation, code reviews, and Git-based workflows
- Work across AWS, Azure, and Databricks environments
- Contribute to GenAI and agentic AI initiatives
- Stay updated with emerging ML and AI technologies
- Contribute to innovation, research, publications, and intellectual property initiatives
- Promote responsible AI, fairness, ethics, and trust
Experience Required:-
- 10+ years of professional experience
- Strong experience in classical ML and statistical modeling
- End-to-end ML lifecycle ownership
- Hands-on Python, PySpark, and SQL experience
- Experience with production-grade ML pipelines
- Experience with ML-Ops and cloud platforms
- Proven ability to mentor teams and lead technical initiatives
GenAI Experience:-
GenAI and agentic AI experience is an added advantage, including:
- LLM applications
- RAG pipelines
- Vector databases
- AI agents
- Multi-agent systems
- Enterprise AI integrations
Company Benefits:-
- Work on high-visibility AI and ML projects
- Opportunity to mentor and lead technical teams
- Access to advanced AI, cloud, and data platforms
- Professional development opportunities
- Innovation-driven work culture
- Exposure to enterprise-scale AI transformation
Schneider Electric Hiring: Data Analytics – Senior 2026 Application Process:-
Interested candidates can apply from the given below link.
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
