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Staff Data Scientist

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · UK - London

Employer listed it 6 days ago · Added 4 days ago

First listed 6 days ago and still open.

Salary

Not stated

Location

Hybrid · UK - London

Timezone

GMT

Contract

Full-time

Experience

Lead

Category

Data

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Location eligibility not confirmed
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around UK - London, Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "UK - London, Hybrid"
  • Listing mentions "Hybrid" and three days a week in the office

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
  • No pay is stated. Ask for the salary range before investing time in interviews.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Airwallex

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 2,700 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. Read our operating principles to see it in full.

How you'll make impact

As a Staff Data Scientist, you'll help Airwallex make better strategic and operational decisions through rigorous analysis, forecasting, and clear data storytelling. You'll combine hands-on analytical leadership with strategic influence, helping evolve data science into a more scalable, general capability across the business.

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.

You'll work from our London office three days a week.

What we're looking for

Essentials

8+ years of industry experience.

An advanced degree, such as a PhD or MS, in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics.

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.

Expert-level ability in data-querying languages such as SQL, scripting languages such as Python, and/or statistical or mathematical software such as R.

You'll thrive here if

You're comfortable owning the roadmap yourself.

You own the outcome and you don't wait for permission to fix what's broken.

You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it.

You connect dots across functions and hold the big picture without losing grip on the details.

Requirements

  • ·Applicant Safety Policy: Fraud and Third-Party Recruiters

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Airwallex, mentioning your remote working experience and working hours (GMT).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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