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Data Scientist - Pricing

NALA
London
1 month ago
Applications closed

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👋 About Us

NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, we've grown our business 120x, grown the team from 9 to 150+,raised $50M+ from top-tier investors, and were named to theForbes Fintech 50in 2025.

We operate two core products:

  • NALA, our consumer app making cross-border payments cheaper, faster and more reliable for the global diaspora. Allowing users to send money from the UK, US and EU to Africa and Asia.
  • Rafiki, our B2B payments infrastructure, is powering global payments.

Our team includes alumni from Wise, Stripe, Monzo, Revolut, and CashApp — operators who’ve scaled world-class products. We act with urgency, think deeply, and put our customers first always.

At NALA, this isn’t just a job. It’s ownership, impact, and the chance to change global payments forever.

Join us in buildingPayments for the Next Billion

🙌 Your Mission

Leverage data to sharpen the accuracy of our pricing decisions and shape the pricing strategy that drives NALA’s growth across Africa and beyond.

🎯 Your Responsibilities in this Role

  • Pricing strategy– Define and evolve NALA’s corridor-specific and global pricing strategy using data-driven insights and experimentation.
  • Pricing experiment design– Partner with Marketing and Treasury to ideate, run, and measure experiments that test hypotheses and unlock pricing advantages.
  • Pricing performance analysis– Level up our analytics capabilities by modeling price sensitivity, quantifying experiment impact, and continuously iterating on strategy based on results.
  • Daily pricing operations– Own the data inputs that inform daily price changes across corridors—monitor competitor behavior, customer response, and margin implications.
  • Pricing tools roadmap– Help shape the roadmap for our pricing engine and experimentation stack—contribute to the design of algorithm controls, analytics dashboards, and testing infrastructure.
  • Market knowledge– Ground your work in reality by staying informed on competitor strategies, macro trends, and customer needs.

🔥 Must Have Requirements

  • Demonstrated experience leading pricing or monetisation analytics at a top-tier company or fintech
  • Proficiency inSQL and Python, with fluency in working with large-scale datasets and building robust analytical workflows
  • Strong data science foundation—experience with modelling techniques, ML experimentation, or even LLM applications
  • Deep customer empathy and a bias toward solving for real-world outcomes

💪 Nice to Have Requirements

  • Experience in a startup or high-growth environment
  • Background in payments, FX, or remittance—particularly where pricing is a strategic lever

⭐️ Benefits

  • 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard!
  • Birthday Leave:Celebrate your special day with a bonus day off to take off in that month.
  • Enhanced Parental Leave- We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After a 6-month probationary period)
  • Global Workspace: Get access to WeWork locations worldwide.
  • LearningBudget: Fuel your growth with $1000 annually for learning and development.
  • Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team.
  • Monthly Socials: Join fun social events every month for great times.
  • Free Coffee: Enjoy barista-style coffee at your fingertips.
National AI Awards 2025

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