Internship - Data Analytics (Remote)

Duration: 1 to 3 months
Application Deadline: 20 April 2025
Eligibility: Bachelor's students and recent graduates
Location: Fully Remote
Stipend: None (unpaid)
Ref: QZPM6OK22
Internship Highlights
  • Fully Remote: Work from anywhere.
  • Flexible Schedules: Students can select their preferred internship start dates.
  • Learn New Skills: Master industry-standard tools and concepts.
  • Career Experience: Gain real-world skills and enhance your career prospects.
  • Higher Education Support: Receive guidance for pursuing advanced studies.
  • Academic Credits: Earn credits for your degree.
Introduction

Join Confidite’s fully remote Data Analytics internship for bachelor’s students. Gain skills in energy forecasting, predictive modeling, and data-driven sustainability solutions.

Duties & Responsibilities
  • Conduct literature reviews to gather data on energy consumption trends, renewable energy technologies, and sustainability metrics for analysis.
  • Perform data analysis using statistical methods to support energy forecasting and predictive modeling for Confidite’s energy management and R&D projects.
  • Develop computational models and simulations to optimize energy systems, focusing on renewable energy integration and environmental impact assessments.
  • Prepare detailed reports summarizing analytical findings, offering insights into energy efficiency and sustainable development strategies.
  • Assist in creating data-driven content for internal tools or client deliverables, enhancing Confidite’s offerings in energy audits and system optimization.
Requirements
  • Current enrollment in a bachelor’s degree program or recent graduation, open to all academic backgrounds with an interest in data analytics.
  • Basic proficiency with analytical tools (e.g., Excel, Python, R) and a willingness to learn advanced data science software.
  • Strong written communication skills for report writing and content creation, with attention to detail and accuracy.
Skills and Knowledge You Gain
  • Expertise in predictive analytics and energy forecasting, applicable to renewable energy solutions and energy management systems.
  • Proficiency in data science tools and techniques, including statistical modeling and simulation for engineering and sustainability applications.
  • Understanding of renewable energy technologies (e.g., solar, wind, hydrogen) and their integration into efficient energy systems.
  • Ability to interpret and present complex data, enhancing decision-making in environmental engineering and sustainable policy development.
  • Experience in remote collaboration, leveraging digital platforms to contribute to Confidite’s cutting-edge R&D initiatives.