📍 Location : Enream, HSR Layout, Bangalore, India 💰 Stipend : ₹5,000–₹10,000 per month (Paid Internship) 🕒 Duration : 6 months 🖥️ Mode : Remote with occasional in-person meetings (Bangalore) 🚀 Start Date : Immediate 🎓 Eligibility : Freshers, Pre-Final/Final Year Students, Recent Graduates 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.
📍 Location: Enream, HSR Layout, Bangalore, India 💰 Stipend: ₹5,000–₹10,000 per month (Paid Internship) 🕒 Duration: 6 months 🖥️ Mode: Remote with occasional in-person meetings (Bangalore) 🚀 Start Date: Immediate 🎓 Eligibility: B.Tech + MBA (Freshers, Pre-Final/Final Year Students, Recent Graduates) About the Internship We are looking for a Business Analyst – Sales & Marketing who will work closely with our business heads to drive lead generation, manage campaigns, and support our sales initiatives. Key Responsibilities: Project: Gather business and technical requirements from customers Write clear and concise user stories with defined acceptance criteria. Maintain and prioritize the product backlog in collaboration with the product owner and technical teams. Document workflows, process diagrams, and functional specifications for new features. Validate deliverables against business requirements and support UAT Track feature progress, prepare status reports, and communicate updates to stakeholders. Market Development: Plan, execute, and monitor targeted email marketing campaigns to drive lead generation and reach out to customers for business acquisition. Segment prospect and customer lists, analyze campaign performance, and optimize messaging for better conversion rates. Coordinate and manage company participation in industry events, conferences, and trade shows. Prepare customized presentations, proposals, and sales collateral. Conduct market research and competitive analysis to support sales pitches and business development. Create and maintain dashboards and reports to track sales pipeline, campaign effectiveness, and ROI. Create marketing material - brochures, case studies, website content, blogs, articles, whitepapers, .etc Provide insights and recommendations to improve sales and marketing strategies based on data-driven analysis. Eligibility Criteria B.Tech + MBA - Final year students, fresh graduates, or early-career professionals with interest in sales & marketing Understanding of IT sector/technologies such as AI, Data Analytics, IoT, Cloud Computing along with b usiness acumen is needed Energy domain awareness will be plus Excellent ability to gather data and perform market research Excellent communication & Interpersonal skills Availability for a full-time 6-month internship (Monday–Friday) What You’ll Gain Hands-on experience with real-world experience and client interactions 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.
???? Location: Enream, HSR Layout, Bangalore, India ???? Stipend: ?5,00010,000 per month (Paid Internship) ???? Duration: 6 months ????? Mode: Remote with occasional in-person meetings (Bangalore) ???? Start Date: Immediate ???? Eligibility: B.Tech + MBA (Freshers, Pre-Final/Final Year Students, Recent Graduates) About the Internship We are looking for a Business Analyst Sales & Marketing who will work closely with our business heads to drive lead generation, manage campaigns, and support our sales initiatives. Key Responsibilities: Project: Gather business and technical requirements from customers Write clear and concise user stories with defined acceptance criteria. Maintain and prioritize the product backlog in collaboration with the product owner and technical teams. Document workflows, process diagrams, and functional specifications for new features. Validate deliverables against business requirements and support UAT Track feature progress, prepare status reports, and communicate updates to stakeholders. Market Development: Plan, execute, and monitor targeted email marketing campaigns to drive lead generation and reach out to customers for business acquisition. Segment prospect and customer lists, analyze campaign performance, and optimize messaging for better conversion rates. Coordinate and manage company participation in industry events, conferences, and trade shows. Prepare customized presentations, proposals, and sales collateral. Conduct market research and competitive analysis to support sales pitches and business development. Create and maintain dashboards and reports to track sales pipeline, campaign effectiveness, and ROI. Create marketing material - brochures, case studies, website content, blogs, articles, whitepapers, .etc Provide insights and recommendations to improve sales and marketing strategies based on data-driven analysis. Eligibility Criteria B.Tech + MBA - Final year students, fresh graduates, or early-career professionals with interest in sales & marketing Understanding of IT sector/technologies such as AI, Data Analytics, IoT, Cloud Computing along with b usiness acumen is needed Energy domain awareness will be plus Excellent ability to gather data and perform market research Excellent communication & Interpersonal skills Availability for a full-time 6-month internship (MondayFriday) What Youll Gain Hands-on experience with real-world experience and client interactions 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. Show more Show less