People deserve more from their money. More visibility, more control, and more freedom. Since 2015, the company has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, and travelling — help our 65+ million customers get more from their money every day.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience the company. They do this by delivering smart, scalable solutions that drive our business forward.
We’re looking for a Data Scientist to lead analytics over our credit and lending features. You'll provide insight into how we can deliver more value to customers while collaborating with professionals in Product, Design, and Engineering on impactful projects that drive our company’s growth.
What You’ll Be Doing:
- Improving existing algorithms
- Building new Proofs of Concept (PoCs)
- Delivering data-driven solutions to enhance product performance
- Researching and developing PoCs into scalable data products
- Collaborating with Product Owners, Engineers, and Data Scientists to continually solve complex data problems
What You'll Need:
- Experience building and leading a data science team within a scaling organization
- Expertise in developing credit models
- A bachelor's degree in a STEM subject (mathematics, computer science, engineering)
- Knowledge of data science tools, including Python and SQL
- Familiarity with probability and statistics fundamentals
- Ability to think strategically and diagnose problems accurately
- Experience in productionizing research into scalable solutions
- Excellent communication and collaboration skills to partner with Product Owners and senior stakeholders
Nice to Have:
- An advanced degree in a quantitative discipline (master's or PhD)
- Experience with additional programming languages, such as Java, Scala, or C++
- Familiarity with anti-fraud functions
- Experience working at a large-scale global tech company
- Participation in university Olympiad competitions in physics, mathematics, economics, or programming
Diversity and Inclusion:
At the company, we prioritize our people and that’s why we encourage applications from candidates with diverse backgrounds and experiences to join our multicultural, hard-working team. We believe that an inclusive workplace fosters exceptional, innovative products and services for our customers.
Important Notice for Candidates:
Be cautious of job scams. Only apply through official the company channels and ensure all communications are done through official the company emails (with an @thecompany.com domain). We will not ask for payment or personal financial information during the hiring process.
