Product Intern - AI Analytics 26134
RatedPower
Software Engineering, Product, Data Science
India · Bengaluru, Karnataka, India
Posted on Apr 22, 2026
Product Intern - AI Analytics 26134
Product Development Bangalore, India
Description
Product Intern - Machine Learning & Gen-AI
Location: Bangalore (Hybrid)
Location: Bangalore (Hybrid)
Duration: 6 Months with full time conversion opportunity
Why YOU want this position
At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
At Enverus, we’re committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we’re helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn’t be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
About the Role
As an AI Data Processing & Analytics Intern, you will support analytics, evaluation, and automation efforts that drive product insights. You will work with product, engineering, and data teams to analyze usage patterns, create evaluation frameworks, build dashboards, and streamline workflows. This internship is ideal for someone who enjoys uncovering insights from data, improving processes, and contributing to data‑driven decision‑making in an AI‑centric environment.
Key Responsibilities
- Analyze product usage and performance data
- Support Ground Truth creation for evaluation and benchmarking
- Assist in running structured evaluations (Evals) for models and workflows
- Help track key metrics and identify trends
- Build dashboards and reports
- Identify opportunities to automate repetitive processes
- Present findings clearly to stakeholders
Required Skills
- Hands-on coding experience in Python (mandatory)
- Knowledge of SQL
- Basic knowledge of data analysis
- Strong analytical and communication skills
Preferred Qualifications
- Experience with data analytics & visualization tools - Power BI, Tableau etc.
- Exposure to AI-powered tools or automation projects
- Exposure to agentic workflows and AI agent frameworks is a strong plus