Huxley
Data Scientist
Riyadh, Saudi ArabiaPosted yesterday
- Salary
- AED 15k–25k a month· est.
- Job type
- Contract
- Level
- Senior
- Field
- AI & Machine Learning
- Work mode
- On site
About the role
We are urgently hiring a Data Scientist for a 1-year contract (extendable) with our client, a leading global financial firm for an onsite role Riyadh, Saudi Location: Onsite role Riyadh, Saudi Duration: 1 year contract (extendable) Start Date: Immediate ROLE OVERVIEW We are seeking an experienced Data Scientist with 8+ years of expertise in banking analytics, specifically within Credit Cards and Cards Portfolio Management. The role focuses on leveraging advanced analytics, machine learning, and predictive modeling techniques to drive data-driven decisions, optimize portfolio performance, enhance customer acquisition and retention strategies, and improve overall profitability of the bank's credit card business. Required Skills & Qualifications: Banking Data Science Experience: 8+ years of experience in banking analytics, specifically within Credit Cards and Cards Portfolio Management. Model Development & Validation: Strong hands-on experience building, monitoring, validating, and optimizing predictive models, with a focus on model performance evaluation. Advanced Analytics & Machine Learning: Experience with predictive modelling, supervised learning, unsupervised learning, customer segmentation, clustering, and cards profitability analysis. Technical Skills: Strong proficiency in SQL, Python, and SAS for data analysis, model development, automation, and reporting. Business & Portfolio Analytics: Ability to translate analytical insights into business outcomes, supporting portfolio growth, customer acquisition, retention strategies, spend optimization, and profitability improvement across credit card portfolios. If you are interested and meet the above requirements, please share your updated CV and suitable candidates will be contacted for further discussion Let op: vacaturefraude Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding: * Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN). * Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website. Important: job fraud Unfortunately, job fraud is becoming more common. Beware of such scams: * We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call. * If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
Requirements
8+ years of experience in banking analytics, specifically within Credit Cards and Cards Portfolio Management. Strong hands-on experience building, monitoring, validating, and optimizing predictive models, with a focus on model performance evaluation. Experience with predictive modelling, supervised learning, unsupervised learning, customer segmentation, clustering, and cards profitability analysis. Strong proficiency in SQL, Python, and SAS for data analysis, model development, automation, and reporting.
Responsibilities
Leverage advanced analytics, machine learning, and predictive modeling techniques to drive data-driven decisions, optimize portfolio performance, enhance customer acquisition and retention strategies, and improve overall profitability of the bank's credit card business. Translate analytical insights into business outcomes, supporting portfolio growth, customer acquisition, retention strategies, spend optimization, and profitability improvement across credit card portfolios.
Skills
- SQL
- Python
- SAS
- predictive modelling
- supervised learning
- unsupervised learning
- customer segmentation
- clustering
- cards profitability analysis
- banking analytics
- Credit Cards
- Portfolio Management
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