Data Scientist

PayTech Nexus Ltd; Jeddah; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading company in the Banking & Technology sector is seeking a Data Scientist with over 10 years of experience, proficient in Python, R, and SAS. This role involves developing predictive models and collaborating with teams to drive data-driven insights. The ideal candidate will have strong communication skills and a passion for analytics, thriving in a fast-paced environment.

Qualifications

• 10+ years in a similar role, ideally with financial services.

Responsibilities

• Develop, test, implement, and maintain predictive models.
• Collaborate with cross-functional teams to understand business requirements.
• Present findings to client stakeholders.

Skills

Python

R

SAS

Statistical Analysis

Machine Learning

Communication

Job description

Job Title: Data Scientist

Term: 12 months

Client Location: Jeddah Head Office, Al-Baghdadiyah Al-Gharbiyah, Jeddah 22233, Saudi Arabia

Division: Banking & Technology

Relevant Experience: 10+ years in a similar role, ideally with financial services

Mandatory Requirements: Python, R, SAS programming language (SAS 9.4)

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
• Segmentation, customer lifetime value analysis
• Identify opportunities to innovatively use data and extract insights from complex data sets

c. Cultural Fit

• Owning the outcome (ownership)
• Being driven/passionate about analytics
• Problem-solving mindset, challenging the status quo
• Self-organizing, independent, and takes ownership of each task
• Meticulous attention to detail
• Thrive under pressure

KPIs

• Time to deployment & value realization 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 with reports and insights
• Collaboration effectiveness with cross-functional teams
• Data security compliance

Knowledge and Experience

• 10+ years 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)