Data Scientist

WorldRemit

London, GB
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/10/2021
  • Website: worldremit.com
  • Company Address: Kensington Centre 66 Hammersmith Road, London, United Kingdom, W14 8UD

About WorldRemit

We’re changing the way people send money abroad. We’re taking something complicated and making it simple.

Our people and our technology work together to create faster, easier and lower cost money transfers. We send to 150 countries around the world and have over 4 million happy customers – a number that’s growing every day. After all, 125,000 5★ reviews can’t be wrong!

Job Description

Who we are

We’re global, we’re growing and we’re going to need talent to keep up the pace. We’re making payments simpler for over 4m customers worldwide, in over 90 currencies. We’ve been around for 10 years, disrupting the market with a digital payment platform that aims to make sending money abroad as easy as sending a text message. There’s almost 1,200  of us already hard at work and we love welcoming new people. We’ve got offices across the world, from London to Sydney and 15 locations in between - they’re open for business but right now lots of us are working from home. Want to be part of our global growth story - read on...

A bit about you

You’re results focused and passionate about data science, leading by example and setting the bar. You will embrace the WorldRemit values: “aim high,” “embrace challenge” and “do what’s right”. 

This is a brand new team, so you will need to be a hands-on data scientist that will help us build a high performing team, and deliver our ambitious roadmap of commercially-driven data science projects. You will be responsible for delivering impactful data science solutions to some of our trickiest problems - covering pricing, marketing, finance, and product. This role will have a huge impact on the business.

On the technical side, you will be working with a wide variety of technologies (e.g. Tableau, SQL, Python or R…), data sets, and techniques to drive real business value. You’ll need to be comfortable choosing the right tool for the job - simple regression, machine learning, clustering, etc. 

What we’re looking for from you

  • Build out our best-in-class price optimisation engine - modeling payback periods, demand, and elasticity
  • Use cutting edge forecasting techniques to set targets, assess performance, and model scenarios, including creating synthetic control groups
  • Create predictive models and customer segmentations to drive personalisation across marketing, service, and the apps
  • Identify opportunities for improvement through data, and champion the usage of data to derive insights and drive action across the business
  • Evaluate the impact of data science and the team’s projects on the business 
  • Engage with stakeholders to ensure maximum impact
  • 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
  • Passion for learning, able to quickly adopt new business concepts and technologies
  • Independent, curious, and likes to take initiative

Technical skills

  • Experience in data science ideally within a B2C market. Experience in international markets and/or fast-growing companies would be a bonus!
  • Very strong SQL skills, able to handle complex data structures from multiple sources (Big Data, conventional DBs) and different areas (digital, transactional, marketing…)
  • Experience with machine learning and forecasting
  • Experience using statistical methods to create models and analyse large dataset using a language of your choice (e.g. R, Python)
  • Experience with customer analytics (churn, lifetime value, segmentation…)
  • Experience building dashboard or self-serve tools, with preference for Tableau

What you’ll get from us

  • Pension scheme offering 8% matched contributions
  • 25 days of holiday plus bank holidays, rising to 28 after 3 years
  • Life assurance worth 3 x your salary
  • Generous parental leave
  • Private medical and dental care plans
  • Cycle to work scheme

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.