Attributes We Value
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 you’re 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 zero‑to‑one ideas into real products, and you “get stuff done” end‑to‑end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About The Team
We’re looking for a 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, you’ll partner closely with Product, Growth, and Commercial teams to shape and build the next‑generation data science foundation at Airwallex. This role is based in Singapore. Learn more about the data science team in this blog.
Responsibilities
- 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 metrics—and 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 “source of truth” 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 lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction‑based customer insights to drive retention and expansion.
Who You Are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum Qualifications
- 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‑solving—you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions.
- Excellent communicator and storyteller—able to translate technical work into crisp, actionable recommendations for both technical and non‑technical stakeholders, including executives.
- Deep curiosity about GTM performance and customer behavior—you go beyond “what happened” to understand “why it happened,” 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 tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation.
Preferred Qualifications
- 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).
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.
#J-18808-Ljbffr”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Airwallex”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__436851248__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=299” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Attributes We Value
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 you’re 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 zero‑to‑one ideas into real products, and you “get stuff done” end‑to‑end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About The Team
We’re looking for a 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, you’ll partner closely with Product, Growth, and Commercial teams to shape and build the next‑generation data science foundation at Airwallex. This role is based in Singapore. Learn more about the data science team in this blog.
Responsibilities
- 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 metrics—and 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 “source of truth” 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 lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction‑based customer insights to drive retention and expansion.
Who You Are
We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum Qualifications
- 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‑solving—you ask the right questions, explore data thoughtfully, and synthesize clear, defensible conclusions.
- Excellent communicator and storyteller—able to translate technical work into crisp, actionable recommendations for both technical and non‑technical stakeholders, including executives.
- Deep curiosity about GTM performance and customer behavior—you go beyond “what happened” to understand “why it happened,” 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 tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation.
Preferred Qualifications
- 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).
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.
#J-18808-Ljbffr…