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For Companies At a Glance
- Tasks: Shape pricing strategies using data insights and run experiments to drive growth.
- Company: Join NALA, a fintech innovating payment solutions across Africa and beyond.
- Benefits: Enjoy 27 days off, birthday leave, enhanced parental leave, and a global workspace.
- Why this job: Be part of a dynamic team that values creativity and real-world impact in pricing.
- Qualifications: Experience in pricing analytics, proficiency in SQL and Python, and strong data science skills required.
- Other info: Monthly socials and themed snacks to foster team relationships.
The predicted salary is between 36000 - 60000 £ per year.
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.
Data Scientist - Pricing employer: Sybill
Contact Detail:
Sybill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Pricing
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies, especially within fintech. Understanding how data influences pricing decisions will help you articulate your insights during discussions with our team.
✨Tip Number 2
Brush up on your SQL and Python skills, focusing on how to manipulate large datasets effectively. Being able to demonstrate your technical prowess in these areas will set you apart from other candidates.
✨Tip Number 3
Engage with our current pricing tools and analytics dashboards if possible. Showing that you have a proactive understanding of our existing systems can highlight your readiness to contribute from day one.
✨Tip Number 4
Network with professionals in the payments and remittance sectors. Building connections can provide you with valuable insights and potentially even referrals that could enhance your application.
We think you need these skills to ace Data Scientist - Pricing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in pricing analytics, particularly in fintech or similar industries. Emphasise your proficiency in SQL and Python, as well as any experience with large-scale datasets.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with NALA's mission and the specific responsibilities of the Data Scientist - Pricing role. Use examples from your past work to demonstrate your ability to leverage data for pricing strategies.
Showcase Your Analytical Skills: Include specific examples of how you've used data-driven insights to influence pricing decisions in previous roles. Highlight any experience with modelling techniques or machine learning experimentation that relates to pricing.
Research NALA: Familiarise yourself with NALA’s pricing strategy and market position. Understanding their corridor-specific pricing and competitor behaviour will help you tailor your application and show genuine interest in the company.
How to prepare for a job interview at Sybill
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with SQL and Python. Highlight specific projects where you used these skills to analyse large datasets and derive actionable insights, especially in pricing or monetisation.
✨Demonstrate Market Knowledge
Research NALA's competitors and the broader market trends in payments and remittance. Be ready to discuss how this knowledge can inform pricing strategies and how you would approach competitor analysis.
✨Prepare for Experimentation Discussions
Since the role involves designing pricing experiments, think of examples from your past work where you ideated, ran, and measured experiments. Be ready to explain your thought process and the outcomes of those experiments.
✨Emphasise Customer Empathy
NALA values deep customer empathy. Prepare to share instances where you solved real-world problems for customers through data-driven decisions, particularly in pricing contexts.
