Data Analyst Intern

Location

Stipend

Duration

Mode

Start Date

Eligibility

About the Internship

Enream is looking for motivated early-career professionals for a 6-month, full-time Data Science Internship. The internship is structured into two stages to provide both foundational training and hands-on industry exposure:

1. Domain Development Stage (Months 1–3)

• Research core industry domain knowledge and data science concepts
• Gain hands-on experience in data analysis, statistics, data visualization, and foundational machine learning
• Receive mentor-led guidance and complete applied assignments

2. Project Implementation Stage (Months 4–6)

• Work on real-world data science projects with cross-functional teams
• Perform data collection, cleaning, and exploratory analysis
• Contribute to predictive model development and insight reporting
• Receive continuous feedback and participate in review sessions
  

Key Responsibilities

• Assist in data collection, preprocessing, and market research
• Conduct exploratory data analysis (EDA) to extract actionable insights
• Apply statistical methods and basic ML algorithms
• Create data visualizations using tools like Power BI, Tableau, or Python libraries
• Contribute to technical documentation and pre-sales materials
• Build use case narratives based on customer journey and product impact
• Collaborate with team members on product and data initiatives

Eligibility Criteria

• Final year students, fresh graduates, or early-career professionals with interest in data science
• Basic knowledge of Python and statistics preferred
• Willingness to learn, adapt, and work in a collaborative team environment
• Availability for a full-time 6-month internship (Monday–Friday)

What You’ll Gain

• Hands-on experience with real-world industry datasets and tools
• Daily mentorship and feedback sessions
• Structured feedback and growth-focused evaluations
  

About Enream

Enream is a fast-growing analytics company specializing in modern asset performance analytics for the energy sector. Our solutions help organizations enhance equipment reliability, optimize plant operations, and minimize failure risks. We integrate complex data from multiple systems to deliver actionable insights, powered by AI and machine learning.