Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide â including Brex, Rippling, Navan, Qantas, SHEIN and many more â with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If youâre ready to do the most ambitious work of your career, join us.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and youâre motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zeroâtoâone ideas into real products, and you âget stuff doneâ end-to-end. You use AI to work smarter and solve problems faster. Here, youâll tackle complex, highâvisibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, letâs build whatâs next.
Weâre looking for talented Data Scientist who can push the boundaries of our existing models and help design state-of-the-art solutions to GTM challenges that accelerate revenue growth and improve commercial efficiency. In this role, youâll partner closely with Product, Growth, and Commercial teams to shape and build the next-generation data science foundation at Airwallex.
This role is ideal for someone who takes meaningful ownership from day oneâsomeone who digs deeply into data to understand why outcomes change (not just what changed), balancing analytical rigor with speed and business contextâand then leverages AI to translate those insights into scalable models and solid data foundations. Learn more about the data science team in this blog.
This role is based in Singapore.
Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences.
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metricsâand operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models.
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable âsource of truthâ that helps teams make faster, better commercial decisions.
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible.
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycleâenhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion.
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
7+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline).
Strong analytical intuition and structured problem-solvingâyou ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions.
Excellent communicator and storytellerâable to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives.
Deep curiosity about GTM performance and customer behaviorâyou go beyond âwhat happenedâ to understand âwhy it happened,â while staying pragmatic and focused on impact.
Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems.
High fluency in analytics toolingâstrong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation.
Experience with Databricks or similar cloud data platforms / warehouses.
Familiarity with Hex or other notebook-based analysis tools.
Experience in a high-growth startup and/or B2B business models (e.g., pipeline, CRM, RevOps data).
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To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.
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 donât 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.
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