Data Scientist
Job in
Jeddah, Saudi Arabia
Listed on 2026-01-02
Listing for:
PayTech Nexus Ltd
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
DIVISION: Banking & Technology
RELEVANT
EXPERIENCE:
10years + in a similar role, ideally with financial services
PURPOSE OF JOB:
Role of data scientist
TASKS
Core Responsibilities and Accountabilities
a. Non-technical
- Strong communication skills and ability to present findings to client stakeholders
- Experience in Financial Services, Banking & card payments Industry is a plus
- Collaborate with cross-functional teams to understand business requirements
- Document all steps in the development process
b. Technical
- Advanced knowledge of statistical analysis and machine learning
- Highly Proficient in SAS programming language (SAS 9.4)
- Proficient in other Data Science programming languages (e.g. Python, R)
- Develop, test, implement, and maintain predictive models
- Identify opportunities to innovatively use data/ extract insights from complex data sets
c. Cultural Fit
- Owning the outcome (ownership)
- Problem solving mindset, challenging the status quo
- Self-organizing, independent and takes ownership of each task
KPIs:
- Time to deployment & value identified/realized/recommended from different use cases.
- Model accuracy (e.g., RMSE, MAE for regression tasks)
- Number of business problems addressed
- Responsiveness to business questions/problems/requests
- Number of departments/business users supported/adopted the solution
- Stakeholder Satisfaction:
The level of satisfaction of stakeholders with the reports and insights provided. - Collaboration Effectiveness:
The effectiveness of collaboration with cross-functional teams, measured through the quality of insights extracted. - Data Security Compliance:
Compliance with data security protocols and regulations
Knowledge and Experience
- 10years + in a similar role, ideally with financial services
SKILLS
- Advanced knowledge of statistical analysis and machine learning
- Highly Proficient in SAS programming language (SAS 9.4)
- Proficient in other Data Science programming languages (e.g. Python, R)
- Strong communication skills and ability to present findings to senior stakeholders (non technical)
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