The Role

As a Data Scientist/ ML Engineer you will be responsible for supporting our clients on data-driven insights and working closely with colleagues across all regions to identify cases of data science. The successful candidate will bring a good knowledge of analytics and AI and a great grasp of digital transformation.

Key Responsibilities

Work closely with colleagues from different departments to identify use cases for data science that adds value to our business and our clients
Support on the daily development of client deliverables and analysis of the client?s data that requires analytics and data science know-how
Support the development of new business proposals for the clients with a special focus on the analytics workstreams
Supporting the digital team in several tasks such as data extraction, preparation, cleaning, analysis, visualizations and reports generations
Converting complicated data science and analytics aspects into simple to understand concepts presented in a PowerPoint presentation form
Look for opportunities to use insights/datasets/code/models across the clients
Conduct research from which you’ll develop prototypes and proof of concepts.

Education And Experience
A bachelor or master?s degree in computer science (preferably with knowledge in Digital Communications)
Knowledge of the basics of statistics and hypothesis testing
Knowledge of a programming language (preferably Python or R)
Solid understanding of data science and AI/machine learning/NLP algorithms (e.g., linear regression, Doc2Vec, Transformers, etc.)
Knowledge of React for front-end web applications development
Basic understanding of web development principles including but not limited to post and get requests, REST API, etc.
Fluent in Arabic and English would be an advantage
Minimum 3 years and maximum of 6 years.