Job Description

Company overview:

Related is a leading loyalty and engagement technology company in the Middle East, powering large-scale programs for banks, telecom operators, malls, and government entities. We specialize in building AI-driven loyalty platforms that integrate payments, gamification, analytics, and customer experience across digital channels.  Our solutions help brands connect with customers through personalized rewards, card-linked offers, and real-time insights. With a strong focus on innovation, security, and scalability, Related delivers seamless experiences that drive engagement and long-term loyalty.

Location: Beirut Digital District

Website:  related.me

Internship overview:

• Assist in developing, training, and testing machine learning and deep learning models for customer segmentation, recommendation systems, and behavior prediction.
• Support the design of AI-driven features such as Next Best Offer (NBO), churn prediction, and invoice fraud scoring.
• Work with structured and unstructured datasets to perform data cleaning, feature engineering, and exploratory data analysis (EDA).
• Implement and optimize Python-based AI pipelines and integrate them with existing systems and APIs.
• Collaborate with the Data, Backend, and Product teams to translate business needs into AI-driven solutions.
• Document research findings, experiment results, and model performance metrics.
• Stay updated with the latest trends in AI, NLP, computer vision, and recommendation systems.

Majors preferences: Computer Science, Computer Engineering

Requirements:

• Analytical Thinking: Strong ability to interpret complex data and derive actionable insights.
• Problem-Solving: Creative approach to identifying issues and proposing innovative AI-based solutions.
• Research Mindset: Curiosity to explore new algorithms, frameworks, and data science methodologies.
• Team Collaboration: Comfortable working in an agile environment alongside developers, data scientists, and product managers.
• Communication: Clear and concise in documenting work, presenting findings, and explaining technical concepts.
• Time Management: Ability to prioritize tasks and meet deadlines within fast-paced project timelines.
• Adaptability: Eager to learn new tools and adjust to evolving project needs or technologies.
• Ethical Awareness: Understanding of data privacy, bias, and responsible AI development practices.

Company Profile