Data Scientist - Pricing
London, England, United Kingdom
NALA
A new kind of mobile money transfer, empowering Africans Globally. Make safe, affordable, and reliable payments to Africa, from the UK, US and EU.🙌 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 in SQL 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.
- Learning Budget: 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Data Science Jobs
Tags: FinTech LLMs Machine Learning Python SQL Testing
Perks/benefits: Career development Parental leave Startup environment Team events
Region:
Europe
Country:
United Kingdom
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