Data Scientist

A subsidiary of Al Ahly Capital Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure convenient & seamless payment solutions and financial services for business owners service providers and consumers across Egypt.

At Al Ahly Momkn we foster a culture of innovation collaboration and personal growth.

We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team youll have the opportunity to work on exciting projects learn from industry experts and be part of a supportive and inclusive community.

1- Data Collection & Preparation:

• Collect clean and pre process data from various sources to support analysis and modeling activities.
  
• Ensure datasets are structured reliable and ready for exploratory and predictive analysis.
  
• Support data quality checks and assist in improving data consistency.
  

2- Exploratory Data Analysis (EDA):

• Conduct exploratory data analysis to identify trends patterns anomalies and key business insights.
  
• Assist in interpreting customer behavior and performance metrics across fin-tech products and services.
  
• Provide analytical summaries to support decision-making.
  

3- Predictive Modeling & Machine Learning Support:

• Assist in developing testing and evaluating predictive models and machine learning solutions.
  
• Support feature engineering and model validation processes.
  
• Measure model performance using appropriate evaluation metrics.
  

4- Visualization & Reporting

• Create dashboards visualizations and reports to communicate insights effectively.
  
• Present findings in a clear format tailored for both technical and non-technical audiences.
  
• Contribute to creating recurring performance reporting and ad-hoc analytics outputs
  

5- Cross-Functional Collaboration

• Collaborate with Product Tech Operations and other business stakeholders to translate business questions into analytical solutions.
  
• Support the development of data-driven recommendations and actionable insights.
  
• Participate in meetings and discussions to align analysis with business priorities.
  

6- Documentation & Continuous Improvement

• Document workflows methodologies and analytical processes to ensure clarity and reproducibility.
  
• Stay up to date with data science tools techniques and industry best practices.
  
• Suggest improvements to existing analytical approaches when relevant.
  

Requirements

• Bachelors degree in Data Science Computer Science Statistics or a related field.
  
• 0-3 Years of Experience in Data Science or similar role.
  
• Proficiency in Python/R SQL and familiarity with visualization tools.
  
• Understanding of basic machine learning algorithms and statistical methods.
  
• Strong analytical and problemsolving skills with an eagerness to learn.
  
• Good communication skills to explain findings to both technical and nontechnical audiences.
  

Benefits

• Embark on an exciting journey with the Fin-Tech Experts.
  
• Join a workplace that actively encourages and supports all talents.
  
• A support system where you have a safe place to voice your opinion share feedback and be your true authentic self.
  
• Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
  

Required Skills:

4-5 years in Engineering or IT Application Support. Fin-tech background is a plus. Accepting on-call process. Strong understanding of application support processes and best practices. Strong Linux knowledge (scripting searching operating etc.) Strong SQL/PL SQL knowledge. Organized with a highly focused attention to detail. Strong result-oriented and customer-focused mentality.