Data Scientist - Pricing

NALA; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading company in fintech is seeking a Pricing Analyst to leverage data for strategic pricing decisions. The role involves defining pricing strategies, analyzing pricing performance, and collaborating on pricing experiments. The ideal candidate will have expertise in SQL and Python, a strong data science background, and a passion for customer-driven outcomes. Join a dynamic team focused on driving growth across Africa and beyond.

Benefits

27 Days Off Plus UK Bank Holidays

Birthday Leave

Enhanced Parental Leave

Global Workspace

Learning Budget

Themed Snacks and Friday Lunch

Monthly Socials

Free Coffee

Qualifications

• Experience leading pricing or monetisation analytics at a top-tier company or fintech.
• Strong data science foundation with experience in modelling techniques and ML experimentation.

Responsibilities

• Define and evolve pricing strategy using data-driven insights.
• Partner with Marketing and Treasury to run and measure pricing experiments.
• Own data inputs for daily price changes across corridors.

Skills

SQL

Python

Data Science

Customer Empathy

Job description

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 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 - Stay informed on competitor strategies, macro trends, and customer needs to ground your work in reality.

Must Have Requirements

• Demonstrated experience leading pricing or monetisation analytics at a top-tier company or fintech
• Proficiency in SQL and Python, with experience working with large-scale datasets and building analytical workflows
• Strong data science foundation—experience with modeling techniques, ML experimentation, or 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 time to decompress. Working at a startup is hard!
• Birthday Leave: Celebrate your special day with a bonus day off in that month
• Enhanced Parental Leave - 16 weeks full pay for primary caregiver, 4 weeks for secondary (after 6 months)
• Global Workspace: Access to WeWork locations worldwide
• Learning Budget: $1000 annually for learning and development
• Sarabi: Themed snacks and Friday lunches to build team relationships
• Monthly Socials: Fun social events every month
• Free Coffee: Barista-style coffee at your fingertips