Data Scientist

Hitachi; Chennai District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Hitachi Energy Technology Services Private Limited in Chennai seeks an Engineering Data Scientist to join the Indian Operation Center, driving global value-chain optimization through scalable ML models and prescriptive analytics.

You will collaborate with data engineers and business units, deploying Azure Databricks, Python tooling, and Power BI to deliver measurable ROI while upholding governance and safety commitments.

Qualifications

• Bachelor's degree in computer science / data science / quantitative field.
• 4–8 years of progressive Data Science experience.
• Strong background in statistical modeling and ML.
• Proficient in SQL and scalable ETL/ELT pipelines.
• Experience with Python and Power BI for exec-level insights.

Responsibilities

• Spearhead high-impact ML initiatives within a cross-functional team.
• Design and deploy advanced ML models and predictive frameworks.
• Analyze high-dimensional data to extract patterns and prescriptive insights.
• Collaborate with Data Engineers to build robust pipelines and feature stores.
• Ensure model transparency, performance, and governance.

Skills

SQL

Machine Learning

Python

Data Visualization

Collaboration

English proficiency

Education

Bachelor's degree in computer science/data science/quantitative

Tools

Databricks

Spark SQL

Azure Databricks

Synapse

ADF

Azure ML Studio

Power BI

Python (Scikit-Learn, Pandas, NumPy)

ML Ops

Job description

Location:

Chennai, Tamil Nadu, India

Job ID:

R0121735

Date Posted:

2026-03-06

Company Name:

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED

Profession (Job Category):

Data Analytics/Business Intelligence

Job Schedule:

Full time

Remote:

No

Job Description:

The opportunity:

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.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles - particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions, additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.