Staff Data Scientist, Revenue
Staff Data Scientist, Revenue

Staff Data Scientist, Revenue

Full-Time 80000 - 100000 ÂŁ / year (est.) No home office possible
Airwallex

At a Glance

  • Tasks: Transform complex data into actionable insights and drive revenue growth with innovative AI solutions.
  • Company: Join a dynamic team at Airwallex, shaping the future of global banking.
  • Benefits: Competitive salary, diverse culture, and opportunities for accelerated learning and career growth.
  • Other info: Work in Singapore and be part of a diverse, equal-opportunity employer.
  • Why this job: Make a real impact in a fast-paced environment while collaborating with exceptional teammates.
  • Qualifications: 7+ years experience in data science with strong analytical and communication skills.

The predicted salary is between 80000 - 100000 ÂŁ per year.

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.

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.

Staff Data Scientist, Revenue employer: Airwallex

At Airwallex, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to take ownership and drive real impact. As a Staff Data Scientist in Singapore, you'll collaborate with exceptional teammates on high-visibility projects, leveraging cutting-edge AI to solve complex challenges while enjoying ample opportunities for professional growth and development. Join us to be part of a forward-thinking team that values curiosity, collaboration, and innovation in the fast-paced world of global banking.
Airwallex

Contact Detail:

Airwallex Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Scientist, Revenue

✨Tip Number 1

Network like a pro! Reach out to current employees at Airwallex on LinkedIn or other platforms. Ask them about their experiences and insights into the company culture. This not only shows your interest but can also give you insider tips that might help you stand out.

✨Tip Number 2

Prepare for the interview by diving deep into the company's mission and values. Be ready to discuss how your skills in data science can directly contribute to their goals, especially around revenue growth and commercial efficiency. Tailor your examples to show how you can turn complex data into actionable insights.

✨Tip Number 3

Showcase your problem-solving skills! During interviews, be prepared to tackle case studies or hypothetical scenarios. Use your analytical intuition to break down the problems and demonstrate your thought process. Remember, they want to see how you think and approach challenges.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team. Make sure to highlight your relevant experience and how it aligns with the role of Staff Data Scientist.

We think you need these skills to ace Staff Data Scientist, Revenue

Statistical Analysis
Causal Inference
Revenue Forecasting
Data Storytelling
SQL
Python
R
Analytical Intuition
Problem-Solving
AI Integration
GTM Performance Analysis
Automation
Cloud Data Platforms
Collaboration
Curiosity

Some tips for your application 🫡

Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see that you're genuinely excited about the opportunity to make an impact and contribute to our mission.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to highlight your relevant experience and skills without unnecessary fluff. Remember, less is often more!

Tailor Your Narrative: Make sure to align your experiences with the specific responsibilities mentioned in the job description. We love seeing how your unique background can help us tackle complex challenges and drive revenue growth.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Airwallex

✨Know Your Numbers

As a Staff Data Scientist, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to revenue growth and GTM performance. Be ready to discuss how you've used data to drive decisions in past roles, showcasing your ability to translate complex analyses into actionable insights.

✨Tell a Compelling Story

Your communication skills are crucial. Prepare to explain your previous projects in a way that resonates with both technical and non-technical audiences. Use storytelling techniques to illustrate how your work has led to tangible results, making sure to highlight your role in turning zero-to-one ideas into successful products.

✨Show Your Curiosity

Demonstrate your deep curiosity about customer behaviour and GTM performance. Prepare questions that show you’re not just interested in what happened, but why it happened. This will reflect your analytical intuition and structured problem-solving skills, which are essential for the role.

✨Familiarise Yourself with AI Applications

Since embedding AI into commercial workflows is a key responsibility, be prepared to discuss how you've applied AI in your previous roles. Share specific examples of how you've enhanced sales effectiveness or generated insights through AI-enabled solutions, showing your ability to work smarter and solve problems faster.

Staff Data Scientist, Revenue
Airwallex

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