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WorldRemit
,
London, Greater London
Data Scientist
Overview
Job Description
Who are we? WorldRemit is changing the way people send money internationally. We've taken something complicated and made it as simple as sending a text. And we're growing. Fast. To do this, we need to hire bright people who can work autonomously and make the right decisions. Who we're searching for... 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. 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! 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. Have you got what it takes? 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. What's in it for you... * 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 * No formal dress code * Free breakfast and fruit every day Oh and of course we'll pay you every month, at a competitive rate. And finally... 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 want to talk to you if you can bring to life our values: * Aim high - We dream big, think bold and go the extra mile * Embrace challenge - We ask questions, start conversations, and always love to learn * Do what's right - We act with integrity, building trust in ourselves and in our business You can learn more about our culture and how we work by watching this video on our Careers page: