Data Scientist


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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. Founded in 2010, we send international remittances from 50 countries to more than 150 countries and we continue to expand our footprint.

Using WorldRemit is easy because we do the hard bit, connecting hundreds of banks, money agents, mobile operators and payment systems around the world.  These were never designed to work together, but WorldRemit makes it happen.

WorldRemit has grown on average by 50% year on year and is now processing over £3bn of remittances on an annualised basis.  We have raised c.$200 million in funding, currently employ over 750 employees and have offices in London, USA, Philippines, Poland, Australia, New Zealand, Canada, Japan, Hong Kong and other locations.

The journey is just beginning.  We believe in faster, simpler, more accessible money transfers.  That means building better products and services for our customers.

Changing the world isn’t easy – so we only hire the most talented people. You need to think differently, believe in new solutions to old problems, and have the drive to make them happen.  We aim to attract, retain and develop people that can bring to life our values 

 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.

More specifically to:

  • Proactively involved in maximising the potential for advanced analytics in delivering actionable insight, business uplift and revenue enhancement.
  • Translate business questions from the other pricing team members into specific hypotheses that can be answered quantitatively with our data
  • Share insights that will shape our understanding and help us to predict how customer will react (or not) to proposed pricing changes
  • Contribute to the industrialization of analytics, creating reproducible analysis that can provide insight in a continuously moving environment. For example, evaluation of the impact of pricing changes on the different business KPIs
  • Support the creation of predictive models that will help us with key strategic challenges. Examples include: identification of magic FX rates between send and receive countries, improved understanding of FX volatility risks, pricing strategies of key competitors etc
  • Engage with senior stakeholders to ensure pricing insights are at the heart of company decisions

Summary of required experience & attributes

  • 4+ years of experience in data analysis ideally within a business to consumer industry.
  • Experience using statistical methods to create models and analyse large dataset using a language of your choice (e.g. R, Python, SQL and advanced Excel).
  • An ability to see the bigger picture: a problem-solving approach that gets to the underlying business questions, using a variety of data sources and information.
  • Prior commercial or pricing experience would be preferred but a keen interest in pricing analyses is essential.



  • Life assurance of 3 times your salary, should the worst happen.
  • Pension scheme offering 8% matched contributions.
  • Private medical and dental care plans.
  • 25 days of holiday plus bank holidays, rising to 28 after 3 years.
  • Free breakfast and fruit every day and Friday ‘afternoon tea’ drinks and nibbles.
  • No formal dress code.

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