Senior Data Scientist, People and Talent

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 250000 businesses worldwide including Brex Rippling Navan Qantas SHEIN and many more 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 2300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 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 youre 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 youre 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.

Youre humble and collaborative; turn zerotoone ideas into real products and you get stuff done end-to-end. You use AI to work smarter and solve problems faster. Here youll tackle complex highvisibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you lets build whats next.

The Data Science team at Airwallex builds the data foundations models and decision-support systems that help the business scale with speed and precision. We partner closely with leaders across the company to solve high-impact problems through analytics experimentation machine learning and data products.

Within this team youll be the dedicated data science partner for our People & Talent (P&T) function the team that builds the systems insights and experiences behind how Airwallex attracts grows and retains exceptional people at global scale. Youll work closely with P&T Finance and Engineering to improve how HR and recruiting data is modelled governed and used and help shape a more scalable self-serve and AI-enabled analytics ecosystem for peoples decisions.

As Senior Data Scientist People and Talent you will own the People & Talent (P&T) data domain at Airwallex and turn our HR and recruiting data into a scalable analytics foundation for the business. You will define how headcount hiring and people metrics are modeled governed and accessed and you will build the pipelines dashboards and selfserve tools that power decisions across P&T Finance Revenue Strategy and Engineering.

This role combines hands-on data engineering and analytics with product thinking and stakeholder management: you will manage the roadmap for P&T data act as the subject matter expert on people data and drive continuous improvements in automation governance and AI-enabled insights. You will also build context layers that make people data more accessible and meaningful across the business and enable AI analytics capabilities that help P&T teams move faster and make better decisions.

Responsibilities:

• Own and manage all People & Talent (P&T) data assets ensuring robust data models pipelines documentation and governance across all HR and recruiting systems.

• Build and maintain scalable dashboards reports and self-serve analytics supporting stakeholders in People & Talent Finance Revenue Strategy and Engineering.

• Partner with cross-functional teams to prioritize requests manage the P&T analytics roadmap and drive improvements in automation data quality and end-user access workflows.

• Act as the subject matter expert on people data supporting metric definition troubleshooting and user guidance while upholding strict governance and privacy standards.

• Enable AI-powered and self-serve analytics use cases and continuously identify opportunities to enhance the P&T analytics ecosystem to support global growth.

Were looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have but are not mandatory.

Qualifications:

• 5 years of experience in data science analytics or a related quantitative field with end-to-end ownership of data models pipelines and dashboards in a production environment.

• Advanced degree (MS or PhD) in Statistics Computer Science Engineering Economics or a related field.

• Strong hands-on proficiency in SQL and Python and/or R with experience working with large and complex datasets data transformations and building robust data solutions.

• Experience with cloud data platforms such as Databricks (including Delta tables) and transformation frameworks like dbt.

• Proven ability to translate ambiguous business challenges into clear analytics projects apply structured problem-solving and communicate insights to both technical and non-technical stakeholders.

• Experience in causal inference experimentation or forecasting to analyze and explain key metric changes.

• Strong documentation skills and familiarity with tools such as Hex or other notebook-based analytics platforms.

• Hands-on experience with HR and recruiting data systems (e.g. BambooHR Ashby HRIS/ATS) including knowledge of data quirks unique identifiers and common update patterns.

• Exposure to high-growth technology or fintech environments especially in contexts where People & Talent analytics intersect with Finance Revenue Strategy or GTM teams.

• Understanding and application of rigorous data governance privacy standards and user access controls especially for sensitive people and HR data.

• Experience with AI-powered analytics self-serve tools or LLM-powered data access solutions is a plus.

• Excellent communication skills strong curiosity and the ability to build effective partnerships across cross-functional teams.

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 @ email address. Please apply only through 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 dont 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.

Required Experience:

Senior IC