Data Scientist | Chennai, India

Hitachi ABB Power Grids; Chennai District; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Hitachi Energy India Operations Center in Chennai seeks an Engineering Data Scientist to design and deploy advanced ML models, build robust data pipelines, and deliver prescriptive insights for global value chains.

You will work across BI and analytics, using PySpark, Databricks, SQL, and Power BI to enable executive decisions and ensure data quality, governance, and scalable solutions in an Agile environment.

Qualifications

• Bachelor's degree in CS/Data Science or quantitative field.
• 4–8 years of progressive data science and analytics experience.
• Strong statistical modeling and machine learning knowledge.
• Expert SQL and scalable ETL/ELT pipeline design.
• Hands-on with Databricks, PySpark, Spark SQL, and Python (scikit-learn, pandas, numpy).
• Experience with Power BI and Azure data tools.

Responsibilities

• Drive technical excellence in Data Science by spearheading ML initiatives within a cross-functional team of engineers and analysts.
• Design and deploy predictive frameworks, moving beyond descriptive reporting to provide foresight into business trends.
• Analyze high-dimensional datasets to extract latent patterns and deliver prescriptive recommendations that drive strategic business optimization.
• Collaborate with Data Engineers to architect robust pipelines and feature stores for model training and inference.
• Ensure model transparency, performance stability, and governance and best practices in AI.

Skills

Data Science

ML/AI

SQL

PySpark / Spark SQL

Power BI

Python (scikit-learn, pandas, numpy)

MLOps

Azure Databricks

Education

Bachelor's degree in CS/Data Science or quantitative field

Tools

Databricks

Spark SQL

Power BI

Azure Databricks

Python

Job description

As an Engineering Data Scientist, you will be part of Indian Operation Center, India(INOPC-PG), aiming to develop a global value chain, where key business activities,resources, and expertise are shared across geographic boundaries to optimize valuefor Hitachi Energy customers across markets. As part of Transformers BU, we providehigh-quality engineering and Technology to Hitachi Energy world. This is an important step from Hitachi Energy's Global Footprint strategy.

How you’ll make an impact:

Drive technical excellence in Data Science by spearheading high-impact MLinitiatives within a cross-functional team of engineers and analysts.

Design and deploy advanced machine learning models and predictiveframeworks, moving beyond descriptive reporting to provide foresight intobusiness trends.

Analyze high-dimensional datasets to extract latent patterns and deliverprescriptive recommendations that drive strategic business optimization.

Partner with Data Engineers to architect robust pipelines and feature stores,ensuring high-quality data ingestion for model training and inference.

Ensuring model transparency, performance stability, and adherence to ethicalAI governance and best practices.

Leverage tools like Power BI and Python to visualize complex model outputs,making machine learning results interpretable for executive decision-making.

Collaborate with business units to identify challenges solvable through AI,proposing end-to-end Data Science solutions that deliver measurable ROI.

Proactively troubleshoot and refine ML models, addressing data drift andperformance degradation to maintain long-term accuracy and scalability.

Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

Living Hitachi Energy's core values safety and integrity, which means takingresponsibility for your own actions while caring for your colleagues and thebusiness.

Your background:

Bachelor's degree in computer science / data science, or quantitative discipline. 4-8 years of progressive experience in Data Science and Advanced Analytics.

Extensive experience in Statistical Modeling and Machine Learning, includingdeep understanding of supervised/unsupervised learning, feature engineering,and model validation.

Expert-level proficiency in Complex SQL and architecting scalable ETL/ELTpipelines to handle high-volume, unstructured, and structured datasets.

Hands-on experience with Databricks (PySpark/Spark SQL) for large-scale data processing and Microsoft Power BI for delivering executive-level prescriptiveinsights. Should have Strong Domain Knowledge across the Data Science

Experience in Azure Databricks, Synapse, ADF, Azure ML Studio. Proficient in Python (Scikit-Learn, Pandas, NumPy) and seasoned in MLOpsprinciples (model versioning, deployment, and monitoring) within an Agileframework. Ability to independently manage end-to-end BI projects.

Strong analytical and problem-solving skills with a focus on data accuracy andperformance optimization.Ability to collaborate effectively across engineering and business teams fromdifferent cultural and geographical backgrounds.

Strong analytical skills, experience in data analysis and management. Ability to work independently and as part of a team.

Detail-oriented with the ability to manage multiple tasks simultaneously.Ability to manage multiple priorities and meet deadlines. Tasks and time self-management.

Proficiency in both spoken & written English language is required.

Job function Data Analytics | Warehousing & Business Intelligence

Contract Regular

Publication date 2026-08-27

Reference number R0121735

About Hitachi Energy

We are a global leader in electrification, powering the electricity era to meet the energy demands of today, and the next 25 years. As the energy arm of Hitachi Group, over three billion people depend on our pioneering, mission-critical technologies to power their daily lives.

With over a century of innovation, we are addressing the most urgent energy challenge of our time: driving the evolution of the world's energy system to ensure abundant, secure, affordable, and sustainable power for today’s generation and the next.

With an unparalleled installed base in over 140 countries, we are the grid ecosystem partner across the utility, industry, data center, and transportation sectors. Headquartered in Switzerland, we employ over 56,000 people in 60 countries and generate revenues of around $20 billion USD.