PRINCIPAL DATA SCIENCE & APPLIED AI DATA SCIENTIST
Summary
A senior data scientist at Commercial International Bank Egypt who drives data science and applied AI projects end to end — including ML, RAG pipelines, LLM-based and agentic systems — to support bank-wide decisions, while coaching junior data scientists and overseeing project delivery.
Internal |
Job Purpose\:
To leverage CIB data by applying various data science and applied AI methodologies and techniques to support data-driven decision making across the bank, in addition to providing technical supervision for Data Scientists and leading the design and delivery of ML and Applied AI solutions.
Job Description\:
Roles and Responsibilities
1.Act as a technical supervisor and coach for junior / Data Scientist team members across both classical data science and applied AI disciplines
2.Manage and support project pipeline and delivery for own projects and junior team members’ projects.
3.Initiate and drive Data Science projects to completion with minimal guidance
4.Translate business problems from different departments into well-defined data science and Applied AI initiatives
5.Build and validate data modelling hypothesis for advanced data science initiatives
6.Gather, validate, process, prepare and explore data in order to find hidden insights and patterns
7.Analyse data patterns to extract knowledge, generate effective recommendations for advanced data science , machine learning and applied AI problems, including through RAG pipelines and LLM-based approaches
8.Apply advanced knowledge in statistics and data-mining to see beyond the numbers and understand how customers interact with bank’s products and services
9.Research and build complex data science , machine learning algorithms and applied AI solutions including LLM-based and agentic systems to solve various business problems
10.Effectively communicate modelling results, insights and data-driven business recommendations to stakeholders and executive leadership
11.Evaluate LLM output quality for banking use cases and document findings to support responsible deployment decisions
Policies, Processes and Procedures
12.Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
Day-to-day Operations
13.Follow the day-to-day operations related to own jobs in the Analytics & Data Management department to ensure continuity of work
Compliance
14.Comply with all relevant CBE regulations, banking laws, AML regulations and internal CIB policies and code of conduct in order to maintain CIB’s sound legal position and mitigate any potential risks