Data Scientist

New Today

We're looking for an experienced Data Scientist to help grow and strengthen our user base. You'll work on high‑impact use cases with millions of users, such as optimizing our existing scratch card rewards program or designing and launching entirely new initiatives from scratch. The technical challenges range from crafting simple heuristics when data is sparse to applying advanced techniques like geospatial analytics, network analysis, and uplift modeling. You'll own the full cycle: defining the right approach, implementing it, and shipping it into production. This role is highly experimentation‑driven: you’ll be able to rapidly test ideas, learn from real user feedback, and iterate quickly. We want someone who is product‑minded, hands‑on, and pragmatic – a data scientist who sees beyond models and algorithms and thinks deeply about how data connects to intuitive user behavior and real‑world impact. Responsibilities
Be part of a multidisciplinary team, working with engineers, data analysts, economists and a product manager. Focus on advanced analytics and machine learning problems, delivering them end‑to‑end independently. Prioritise work and shape your own approach to maximise positive impact on both users and the business. Engage not just with business metrics, but also collaborate closely with Operations teams to understand real‑world outcomes and impact.
Qualifications
Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline. A Master’s or PhD is a plus. 4+ years experience in applied data science or a similar field. Demonstrated experience with data analysis, machine learning and product A/B tests. Experience in using advanced analytics to optimise targeting, rewards or incentive programs is a big plus. Proficiency in applying machine learning methods to solve business problems. Very strong Python skills with expertise in data manipulation, analysis and machine learning; comfortable writing code that runs in production. Competent in SQL. Solid foundation in probability and statistics. Thrive on spotting key problems and finding the fastest, most effective solutions. Enjoy and excel at working on machine learning and statistics problems. Quickly build and validate proof‑of‑concept solutions, refining based on real‑world feedback. Prefer pragmatic approaches but apply complex methods when the impact is worth it. Work iteratively, knowing when a project is \\"good enough\\" to avoid over‑polishing. Communicate insights clearly to all audiences and make confident, data‑driven recommendations.
About Wave Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives. Benefits
Wave covers travel once per year to one of our operating countries in Africa, plus a yearly stipend of $1,200 to meet with coworkers. Our salaries are competitive and are calculated using a transparent formula. For this role, depending on your level and location, we offer a salary of up to $149,200 USD (paid in your local currency equivalent), plus a generous equity package. Subsidised health insurance for you and your dependents and retirement contributions (both vary from country to country). 6 months of fully paid parental leave and subsidised fertility assistance. Flexible vacation, with most folks taking between 21–30 days exclusive of statutory holidays. $10,000 annual charitable donation matching.
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Location:
Camden Town, England, United Kingdom
Job Type:
FullTime

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