2026 KSA Analyst Program - Data & AI Analyst

Job description

**Infinite pl** is a digital-led tech firm driven to become a digital logistics pioneer by harnessing the power of people, data, and platforms. We are enabled through in-house, external, network, and investment capabilities that we utilize to orchestrate and build innovative platforms tackling complex problems within logistics and adjacent sectors. **Infinite pl’s mission** is nothing short of a logistics revolution! We're here to enrich the experiences of governments, businesses, and residents around the world through cutting-edge digital solutions. **We're not just players; we're game-changers.** ### Role Summary: As **Data & AI Analyst**, you will collaborate with our team of experts to analyze and interpret complex data sets, using cutting-edge AI algorithms and techniques. You will have the chance to work on a variety of projects, ranging from developing machine learning models to enhance our products, to implementing AI solutions for our clients. This is an exciting opportunity for someone who is eager to make an impact in the AI industry and contribute to the development of groundbreaking technologies. ### Responsibilities: • Assist in the design, development, and implementation of AI algorithms and models. • Conduct research and analysis to identify trends and patterns in large data sets. • Collaborate with cross-functional teams to gather requirements and define project objectives. • Evaluate and validate AI models, ensuring their accuracy and reliability. • Provide insights and recommendations based on data analysis. • Stay up-to-date with the latest AI techniques and technologies through continuous learning and professional development. • Support the deployment and integration of AI solutions into existing systems. ### Requirements: • A bachelor's degree in Computer Science, Engineering, or a related field. • Strong knowledge of AI concepts, algorithms, and techniques. • Hands-on experience with programming languages such as Python or Java. • Familiarity with machine learning frameworks such as TensorFlow or PyTorch. • Proficient in data analysis and visualization tools, such as MATLAB or Tableau. • Excellent problem-solving and analytical skills. • Strong communication and collaboration abilities. • Attention to detail and the ability to work on multiple projects simultaneously. • Experience working in a research or academic environment is a plus. • Knowledge of natural language processing or computer vision is a plus.