Internship - Data Science (Remote)
Duration: 1 to 3 months
Application Deadline: 15 July 2025
Eligibility: Bachelor's students and recent graduates
Application Deadline: 15 July 2025
Eligibility: Bachelor's students and recent graduates
Location: Fully Remote
Stipend: None (unpaid)
Ref: INT-2
Stipend: None (unpaid)
Ref: INT-2
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 remote Data Science internship, driving sustainable energy solutions with advanced data analytics.
Duties & Responsibilities
- Analyze large datasets to identify trends and optimize energy management strategies.
- Develop predictive models to enhance efficiency and sustainability in energy systems.
- Collaborate remotely with teams to integrate data-driven insights into engineering projects.
- Evaluate environmental and economic impacts using statistical and machine learning techniques.
- Prepare technical reports on data science findings for Confidite’s R&D and sustainability efforts.
Requirements
- Recent graduates or enrolled in final year of bachelor’s program in engineering, science, or business.
- Basic proficiency in data analysis, programming, or statistics, with a willingness to deepen expertise.
- Analytical skills and interest in applying data science to sustainable energy challenges.
Skills and Knowledge You Gain
- Proficiency in data science techniques for optimizing sustainable energy systems.
- Expertise in statistical modeling and machine learning for energy management applications.
- Experience with interpreting complex data to support engineering and business decisions.
- Ability to communicate data-driven insights to advance sustainability and R&D objectives.