Data Scientist

Banque Misr 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 a passionate and talented ** Data Scientist** 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. We are committed to agility, human-centricity, social inclusion, and digital transformation.

Responsibilities:

• Develop and implement machine learning models for various banking applications.
• Conduct focused data exploration and analysis to support model development.
• Assist in the deployment and testing of machine learning models.
• Communicate findings and recommendations to both technical and non-technical audiences.
• Stay up-to-date with the latest advancements in AI and machine learning.

Requirements

• Required Skills:

  • 0-2 years of experience in Data Science or a related field
  • Excellent understanding of 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).
  • 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).
• Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with MLOps principles and tools.

Apply now and help us build the future of banking! We aim to deliver unparalleled products and services through innovation in AI.