2026 KSA Analyst Program - Data & AI Analyst

Role Summary:

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.
• 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

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.
• 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

Additional information