Data Analyst II

Schneider Electric; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Schneider Electric in Hyderabad, India, seeks an hands‑on Data Scientist & Python Developer with about 5 years of experience to build, deploy, and maintain machine learning models and data‑driven applications. You will deliver ML features end to end, collaborating with senior data scientists, architects, and product owners.

The role focuses on independent delivery, model evaluation, and scalable data pipelines, with opportunities to work across cloud platforms and MLOps practices in a global

Qualifications

• Bachelor’s or Master’s Engineering degree in Computer Science, Data Science, Engineering, or related field.
• 4–6 years of experience in Data Science, Machine Learning, and Python development, with at least 2 models deployed to production.
• Hands‑on with Python, ML libraries, and data engineering tools.

Responsibilities

• Develop, train, and evaluate machine learning models for business and industrial use cases.
• Build Python applications, REST APIs, and data pipelines to operationalize models.
• Develop forecasting, anomaly detection, and predictive analytics models.
• Deploy models using Docker and CI/CD; support model monitoring and retraining.
• Perform data exploration, cleansing, and feature engineering on structured and time‑series data.
• Work with product owners and stakeholders to understand requirements and present results.
• Participate in code reviews and support junior team members.

Skills

Python development

Machine Learning

SQL

Data analysis

Communication

Education

Bachelor's or Master’s Engineering

Tools

FastAPI/Flask

Docker

CI/CD

Spark/Airflow

TensorFlow/PyTorch

Job description

Job Summary

We are looking for a hands‑on Data Scientist & Python Developer with around 5 years of experience in building, deploying, and maintaining machine learning models and data‑driven applications. The role focuses on independent delivery of ML features end to end, working closely with senior data scientists, architects, and product owners.

Key Responsibilities

• Develop, train, and evaluate machine learning models for business and industrial use cases.
• Build Python applications, REST APIs, and data pipelines to operationalize models.
• Develop forecasting, anomaly detection, and predictive analytics models.
• Deploy models using Docker and CI/CD; support model monitoring and retraining.
• Perform data exploration, cleansing, and feature engineering on structured and time‑series data.
• Work with product owners and stakeholders to understand requirements and present results.
• Participate in code reviews and support junior team members.

Required Qualifications

• Bachelor’s or Master’s Engineering degree in Computer Science, Data Science, Engineering, or related field.
• 4–6 years of experience in Data Science, Machine Learning, and Python development, with at least 2 models deployed to production.

Technical Skills

• Programming: Python, SQL; FastAPI or Flask
• ML Libraries: Scikit-learn, XGBoost, Pandas, NumPy; TensorFlow or PyTorch
• Data Engineering: Spark, Airflow (Kafka, Databricks – exposure)
• Cloud: Azure, AWS, or GCP (at least one, hands‑on)
• MLOps: Git, Docker, MLflow, CI/CD (Kubernetes – exposure)
• Visualization: Power BI, Tableau, or Plotly

Preferred Experience

• Exposure to Industrial AI, Manufacturing, Energy, or IoT data (sensor / time‑series).
• Working knowledge of GenAI, LLMs, RAG, or Agentic AI frameworks.

Ownership & Growth Expectations

• Own ML features/modules end to end with minimal supervision.
• Contribute to design discussions; follow engineering and data science best practices.
• Share knowledge within the team and guide junior members.
• Continuously upskill in emerging AI/ML technologies.

Must-Have Skills

• 4–6 years of experience in Data Science and Python development
• Strong Python and SQL; hands‑on with Scikit-learn and TensorFlow or PyTorch
• Experience deploying at least one ML model to production
• Hands‑on experience with one cloud platform (Azure, AWS, or GCP)
• Basic data engineering skills (ETL, Spark or Airflow)
• Good communication and collaboration skills

Good-to-Have Skills

• GenAI, LLMs, RAG, or Agentic AI exposure
• Industrial AI, Manufacturing, Energy, or IoT domain knowledge
• Kubernetes, Kubeflow, Databricks, Delta Lake
• Predictive Maintenance or Digital Twin projects
• Computer Vision or Reinforcement Learning projects

Behavioral Skills

• Structured problem-solving and strong analytical thinking.
• Takes ownership of assigned deliverables and quality of outcomes.
• Collaborates effectively in cross‑functional, agile teams.
• Adapts to changing priorities and learns quickly.
• Focuses on delivering measurable business value.

Soft Skills

Analytical thinking, clear communication, teamwork, problem-solving, and eagerness to learn.

Rewards designed for you

Our Total Rewards is our way of saying: We see you and we value you. It’s more than just pay and benefits—it’s a meaningful investment in you. It is designed to help you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community. At Schneider Electric, we’re here for what matters most to you. Discover more at our Career Page.

* Country-specific programs and initiatives may be available.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more here.

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.