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Staff Data Scientist

Airwallex· Engineering
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Hybrid (UK - London)Full-timePosted 5d ago

About the role

Staff Data Scientist role focusing on rigorous analysis, forecasting, data storytelling, and building scalable data science systems to inform strategy and decision-making. Combines hands-on analytical leadership with strategic influence to evolve data science into a scalable capability across the business.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Data storytellingForecastingSQLPython
Nice to have:R
Last updated Oct 22, 2026. Interested? Apply on the company site.
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