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About the Role
As a Staff Data Scientist, you will help Airwallex make better strategic and operational decisions through rigorous analysis, forecasting, and clear data storytelling. You will combine hands-on analytical leadership with strategic influence, helping evolve data science into a more scalable, general capability across the business. You will also uplevel the data science team through technical mentorship, hands-on leadership on complex analytical problems, and a clear vision for the team’s longer-term direction. Act as a strategic thought partner to cross-functional teams, using data and technical expertise to inform, influence, and execute strategy and investment decisions.
Responsibilities
- Uplevel the data science team through technical mentorship, hands-on leadership on complex analytical problems, and a clear vision for the team’s longer-term direction.
- Act as a strategic thought partner to cross-functional teams, using data and technical expertise to inform, influence, and execute strategy and investment decisions.
- Apply quantitative analysis, data mining, forecasting, and clear data storytelling to answer important business questions and guide strategic decisions.
- Define goals, build forecasts, and monitor key business metrics to identify trends and assess performance across the organisation.
- Help evolve data science from individual analyses into scalable systems of decision support, establishing robust analytical approaches that produce reliable insights repeatedly.
- Build systems of decision that help teams understand what changed, determine what to do next, and learn whether the action worked.
- Build systems of action that use machine learning and AI to shape product behavior, ranking, pricing, risk, allocation, and customer experiences.
- Structure ambiguous problems, design experiments, identify confounding factors, challenge misleading conclusions, and build production systems that produce reliable outcomes repeatedly.
Requirements
- 8+ years of industry experience.
- Experience communicating analytical results to leadership and cross-functional teams to influence strategy.
- Experience providing technical mentorship in data science or quantitative analysis in an industry setting.
- Comfortable owning the roadmap yourself.
- Own the outcome and do not wait for permission to fix what's broken.
- Comfortable with ambiguity.
- Connect dots across functions and hold the big picture without losing grip on the details.
- Simplify complexity rather than hiding behind it.
Skills
- Expert-level ability in data-querying languages such as SQL
- Expert-level ability in scripting languages such as Python
- Expert-level ability in statistical or mathematical software such as R
Location
- London
Work Type
- Hybrid
Experience Level
- Staff
Education Level
- Advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics.
About the Company
- Airwallex is the AI-native financial operating system for a real-time, intelligent economy.
- More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
- We started in Melbourne in 2015 to build the infrastructure global commerce runs on.
- We're the regulated backbone behind global payments: not by accident, but by design.
- A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
- We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices.
- We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do.
- Data Science at Airwallex is evolving from individual analyses and standalone models into scalable systems of decision and action.
- We bring together two complementary capabilities: DS Analytics, which improves decision quality and reduces decision latency, and DS Algorithm, which directly optimizes product and business outcomes in real time.
Equal Opportunity
- Airwallex is proud to be an equal opportunity employer.
- We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent.
- We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions.
- If you have a disability or special need that requires accommodation, please let us know.