Position description: #Support the Engineering Digital Systems team by analyzing engineering and business data to develop dashboards, automate reporting, identify trends, detect anomalies, and build AI/ML-based solutions that improve decision-making across Engineering, Manufacturing, Supply Chain, and Operations.#

Primary Responsibilities: #
Collect, clean, and analyze data from multiple sources.
Develop dashboards and automated reports.
Build data pipelines and reporting automation.
Analyze engineering and operational KPIs.
Develop machine learning models for anomaly detection, forecasting, and pattern recognition.
Support data-driven decision-making through insights and recommendations.

Additional Responsibilities: #
Automate repetitive data analysis and reporting tasks.
Improve data quality and validation processes.
Document datasets, reports, and analytical models.
Use Claude to accelerate data analysis, SQL generation, Python scripting, machine learning development, and documentation while validating outputs for accuracy.

Reporting Team

Reporting Designation: ##

Reporting Department: #RD #

Educational qualifications preferred

Category: #Engineering / Technology#

Field specialization: #Computer Science, Information Technology, Artificial Intelligence, Data Science, Electronics, or related disciplines.#

Degree: #B.E./B.Tech (Pursuing)#

Academic score: #70% or above (Preferred)#

Institution tier: #Tier 1, Tier 2, or equivalent institutes#

Required Certification/s: #Not Mandatory#

Required Training/s: #Python, SQL, Data Analytics, Machine Learning (Preferred)#

Required work experience

Industry: #Not Applicable (Internship)#

Role: #Data Analytics Intern#

Years of experience: #01 Years#

Key Performance Indicators: #
Accuracy and quality of analytical outputs.
Timely delivery of dashboards and reports.
Automation of manual reporting processes.
Quality of anomaly detection and predictive models.
Actionable insights delivered to stakeholders.
Code quality, documentation, and maintainability.

Required Competencies: #
Analytical thinking.
Problem-solving.
Attention to detail.
Learning agility.
Ownership and accountability.
Collaboration and communication.

Required Knowledge: #
Data analysis techniques.
Statistics fundamentals.
Machine learning concepts.
Database fundamentals.
Data visualization principles.
AI-assisted software development.

Required Skills: #
Python.
SQL.
Microsoft Excel / Google Sheets.
Pandas.
NumPy.
Scikit-learn (Preferred).
Data visualization.
Effective use of Claude for data analysis, coding, and documentation.

Required abilities

Physical: #Ability to work on a computer for extended periods.#

Other: #Ability to learn independently, analyze complex datasets, identify patterns, develop predictive models, and communicate insights effectively.#

Work Environment Details: #Office-based role with regular collaboration across Engineering, Manufacturing, Supply Chain, and Operations teams.#

Specific requirements

Travel: #Minimal (if required).#

Vehicle: #Not Required.#

Work Permit: #Valid authorization to work in India.#

Other details

Pay Rate: #As per company internship policy.#

Contract Types: #Internship (3-6 Months, Extendable).#

Time Constraints: #Full-time Internship.#

Compliance Related: #Adherence to company policies, confidentiality, and information security guidelines.#

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.