Job Description

The Bank is transforming into an AI-led bank, revolutionizing how we serve our customers and drive the future of finance. We leverage our rich heritage and expertise to build a data-driven powerhouse that anticipates customer needs, personalizes experiences, and optimizes operations. We're not just talking about AI; we're deploying it, and we're seeing tangible results that touch the lives of every Egyptian. Join our agile, hybrid team and be at the forefront of this exciting transformation!

About the Role: We're looking for an experienced Data Science Specialist to join our growing team. You will work on challenging and impactful projects, collaborating with cross-functional teams to develop and deploy cutting-edge AI solutions. You will also have the opportunity to mentor junior team members. Our commitment to agility, human-centricity, social inclusion, and digital transformation drives us to find the best talent.

Responsibilities:

• Develop and implement machine learning models for various banking applications.
• Refine and optimize existing machine learning models for improved performance.
• Conduct in-depth data analysis and interpretation to identify actionable insights.
• Communicate findings and recommendations to both technical and non-technical audiences.
• Stay up-to-date with the latest advancements in AI and machine learning.

Guide junior team members. Same comment as Senior Data Scientist JD

Requirements

Required Skills:

• 2+ years of experience in Data Science or a related field
• Practical experience in statistical modeling and machine learning techniques.
• Proficiency in programming languages like Python or R.
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent communication and presentation skills.
• Ability to work effectively in an agile, hybrid team environment.

Desirable Skills:

• Relevant experience in the financial industry (preferred, but not required).
• Familiarity with MLOps principles and tools.