Auxo Talent
Data Scientist
Skills
1 month ago
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Important information
Contract type:
Freelance / Contract
Location:
Riyadh Saudi Arabia
Work mode:
Onsite
Published on:
23 September 2026
What they need
Data Scientist - Credit/debit card analytics
Industry: Banking & Financial Services
Location: Saudi Arabia – Onsite
Contract: 12 Months
We are looking for a Data Scientist / Data Analyst with strong experience in banking analytics, credit/debit card analytics, customer segmentation, and predictive modeling to support data-driven business and customer strategy initiatives.
Key Responsibilities
- Analyze customer, transaction, and portfolio data to identify business opportunities and trends.
- Develop customer segmentation models based on behavioral, transactional, and demographic data.
- Build and apply predictive models for customer behavior, retention, acquisition, cross-sell, upsell, and propensity.
- Analyze credit card portfolio performance, customer spend, revenue, and profitability .
- Support campaign analytics and measure campaign performance and ROI.
- Identify opportunities to improve customer engagement, revenue, and portfolio performance.
- Perform statistical analysis and translate analytical findings into actionable business recommendations.
- Work closely with business, product, marketing, and risk stakeholders.
- Develop analytical reports and dashboards to communicate insights effectively.
Must-Have Skills
- Banking / Financial Services experience
- Credit Card / Debit Card analytics
- Customer Segmentation
- Predictive Modeling / Machine Learning
- Customer / Portfolio Analytics
- Revenue & Profitability Analytics
- Strong SQL
- Strong Python
- Experience with transaction/customer data
- Strong analytical and stakeholder communication skills
Good to Have
- Customer Lifetime Value (CLV)
- Churn / Attrition Modeling
- Propensity Modeling
- Cross-sell / Upsell
- Next Best Offer / Next Best Action
- Campaign Analytics
- Spend Analytics
- Credit Risk Analytics
- Statistical Modeling
- Power BI / Tableau
- PySpark
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