Media & Digital Experience Intern

Job Description

Media & Digital Experience Intern | Not Specified

The Tone:
This is an internship at an unspecified company. The company focuses on developing and optimizing digital media experiences, specifically on fuel dispenser screens, by integrating media, hardware, and AI. This role is crucial for improving customer engagement, ensuring system uptime, and enabling scalable content creation, offering interns a chance to contribute to real-world business challenges and shape their career. This program aims to accelerate your development and expand your perspective through meaningful, hands-on experience.

The TL;DR
• Role: Internship
• Type:
• Location:

• Team: Collaborates across engineering, product, and business teams
• Mission: Improve customer engagement, increase uptime, and enable scalable content creation for media experiences on fuel dispenser screens.
• Tech Stack: Python, APIs, data analysis tools, Excel/Sheets, SQL, LLMs

What You’ll Actually Do
• Analyze: Analyze media system performance and identify opportunities to improve uptime, engagement, and content effectiveness.
• Design: Design and prototype AI-driven solutions for media content creation, personalization, or optimization.
• Collaborate: Collaborate with cross-functional teams (engineering, product, operations) to understand system constraints and opportunities.
• Evaluate: Evaluate how changes to media, hardware, or software systems impact the end-customer experience.
• Support: Support the development of business cases by quantifying potential impact (revenue, engagement, efficiency).
• Document: Document findings, insights, and recommendations in a clear and structured manner.

The Must-Haves
• Background: Early Career individual with strong analytical and structured thinking skills, able to break down complex problems, and demonstrating a customer-centric mindset.
• Experience: Basic understanding of software, systems, or engineering concepts, and comfortable working with data.
• Skills: Strong analytical and structured thinking; basic understanding of software, systems, or engineering concepts (e.g., Python, APIs, or data analysis tools); familiarity with AI tools (e.g., LLMs); comfortable working with data (Excel/Sheets).
• Bonus: Experience with SQL or Python for data analysis.