Who are we?
WorldRemit is changing the way people send money abroad. We’ve taken something complicated and made it simple. Tap the WorldRemit App or click on our website and your international transfer is made – to a bank account, cash pickup, Mobile Money, or airtime top-up.
We have grown on average by 50% year on year and are now processing over £3bn of remittances on an annual basis. We have raised c.$200 million in funding, currently employ over 750 employees and have offices worldwide.
You can learn more about our culture and how we work by watching this video on our Careers page
About the Role
You will be working with some of the most cutting-edge technologies and the most talented people in the industry. This will give you a great opportunity to develop your skills and progress your career in one of the fastest growing companies in Europe!
WorldRemit is sending remittances from over 50 send countries to over 150 receive countries and the number is growing monthly. Each of these corridors have different commercial and competitive characteristics, and a wide variety of customer behaviour, leading to exciting opportunities for pricing analysis.
We are looking for a Commercial Data Scientist that will support our data driven culture, leveraging the ever-expanding range of data sources we have available to improve our pricing decisions, from exploring our competitive landscape to understanding the way customers use our service.
This is an amazing opportunity for a data driven individual to play a key role in the continued growth of one of the UK’s leading FinTech companies; and a very exciting challenge to put analytical skills to the test against an international context.
As a Commercial Data Scientist, you will use your ability in SQL, R and/or Python to create analytically driven recommendations that shape pricing strategy and maximise ROI. Your solutions will influence international pricing decisions and create new opportunities that enhance business-wide performance.
On the technical side, you will be working with a wide variety of technologies (e.g. Tableau, Python or R…) to retrieve and analyse the transactional data, and more importantly, apply your data mining and/or statistical skills to obtain actionable pricing insights.
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Summary of required experience & attributes
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