Management Trainee at Apraava

Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Machine Learning, Data Analytics, Statistical Modelling, Power BI, Tableau, Analytical Modeling, Forecasting, Grid Operations, Asset Management, Digital Twin, Predictive Maintenance, Bidding Optimization, DSM Management

Industry

Utilities

Description

1. SKILLS AND KNOWLEDGE Educational Qualifications M.Tech / B.Tech in Renewable Energy, Electrical Engineering, Data Science, Artificial Intelligence, or related discipline Functional Skills * Python / R / similar analytics tools; machine learning techniques; data analytics and statistical modelling * Experience with Power BI, Tableau, or similar dashboard tools * Strong analytical and problem-solving capability with ability to translate business problems into analytical solutions Relevant and total years of Experience Overall experience: MBA fresher 0–2 years of experience in AI, data analytics, or digital solutions development Experience or exposure to power markets, renewable energy forecasting, grid operations, or energy analytics 1. PRINCIPAL ACCOUNTABILITIES Accountabilities Major Activities Support to organization’s digital transformation * Identify opportunities for the application of AI, data analytics, and digital technologies across business functions to improve operational efficiency and decision-making. * Develop analytical models and digital tools to support asset management, forecasting & scheduling, and operational optimization. * Support digital initiatives related to asset monitoring, digital twin frameworks, predictive maintenance, and performance optimization. * Develop analytical tools to support power market participation, bidding optimization, forecasting accuracy, and DSM management. * Analyse operational and market data to generate insights that improve generation performance, trading outcomes, and operational efficiency. * Develop dashboards, analytical reports, and decision-support systems to enable monitoring of operational and commercial performance. * Identify opportunities for process improvement and automation using AI and data analytics technologies. * Support implementation of the Digitalization Strategy and * Roadmap by translating analytical models into practical business tools.

Responsibilities

The Management Trainee will support the organization's digital transformation by identifying opportunities for AI and data analytics application to enhance operational efficiency and decision-making across business functions. This includes developing analytical models, digital tools for asset management and forecasting, and creating dashboards to monitor performance and support market participation.