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, you'll 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

• Bachelor’s 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 problem‑solving skills with an eagerness to learn.
• Good communication skills to explain findings to both technical and non‑technical 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.