Middle East Venture Partners
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Lead Data Scientist



Data Science
Cairo, Cairo Governorate, Egypt
Posted on Thursday, April 11, 2024
About the job:

As Lead Data Scientist you are responsible for spearheading the predictive modeling and machine learning division of the data science department to facilitate growth, revolutionize processes and streamline our customer experience.


  • Analyze complex financial datasets: Lead the analysis of intricate financial datasets to identify patterns, trends, and correlations using statistical techniques and machine learning algorithms.
  • Develop predictive models and algorithms: Drive the development of advanced predictive models and algorithms to forecast financial outcomes, detect anomalies, and support risk management and decision-making processes.
  • Conduct exploratory data analysis: Lead the team in conducting exploratory data analysis to uncover valuable insights, generate hypotheses for further investigation, and guide strategic initiatives.
  • Apply machine learning algorithms: Utilize a wide range of machine learning algorithms, including regression, classification, clustering, and deep learning, to solve complex business problems and enhance fintech applications.
  • Train, validate, and optimize models: Lead the team in training, validating, and optimizing machine learning models using appropriate techniques, such as cross-validation, hyperparameter tuning, and feature selection.
  • Collaborate with cross-functional teams: Work closely with software engineers, developers, and stakeholders to implement and deploy machine learning models into production environments, ensuring seamless integration and scalability.
  • Communicate insights and recommendations: Prepare and deliver comprehensive presentations, reports, and dashboards to convey insights, findings, and recommendations to technical and non-technical audiences, influencing strategic decision-making.
  • Data preparation and feature engineering: Lead the implementation of data cleaning, transformation, and feature engineering techniques to ensure high-quality data for analysis and modelling.


  • Proven work experience as an end-to-end Data Scientist across diverse business domains (previous FinTech experience is a major plus).
  • Ability to lead, motivate and organize team efforts through strong mentorship skills, technical prowess, and “2-steps ahead” business thinking.
  • Solid understanding of mathematical and statistical modeling along with machine learning and AI algorithms (knowledge of Graph models and databases is a plus).
  • Strong experience with data pre-processing methods and techniques.
  • Robust experience with the machine learning cycle, from development and training to deployment and re-training.
  • Knowledge of data mining and segmentation techniques.
  • Expertise with cloud-based infrastructure (e.g. AWS or GCP).
  • Expert capabilities with both SQL and Python, with an aptitude for data visualization
  • Strong knowledge of MLOps


  • Competitive salary
  • Pension Plan scheme as per company policy
  • Premium Family medical insurance
  • Exclusive access to our circles with the ultimate credit limit and reserved 1st slots
  • Unlimited annual leave policy
  • Mentorship and career growth
  • Entrepreneurial working environment