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22 Jun 2021

Full-Time Senior Data Analyst / Scientist

iwocatalent – Posted by iwocatalent London, England, United Kingdom

Job Description

iwoca started in 2012 and was born out of the frustration that small businesses lack the access to finance they need to reach their potential. Our belief then was that technology must enable us to significantly shorten the archaic 8-week bank application process which more often than not results in a ‘no’. Nearly a decade later and we have served more than 50,000 businesses across the UK and Germany with more than £2 billion of finance. Our personal best from a business starting an application to money in the bank is 3m26s (faster than Mo Farah on 1,500 meters). It’s a good start, but it’s just the beginning.

Our mission is to finance 1 million businesses, so still, a long way to go.

Through the course of our journey, we have learned that

  • SME lending is a tech play at heart – processing applications from SMEs of all shapes and sizes is very complex, and the effective use of technology is essential for doing that at scale
  • Embedded finance is the future for SME lending – businesses won’t need to go to banks anymore. We’re increasingly reaching businesses by embedding our finance offering through API integrations into the SME ecosystem including online marketplaces, accountancy systems, or neobanks
  • Payments and credit are converging: Many businesses have cash-flow gaps because they receive money from their customers only way after having to pay their own bills. So we want to tackle the cashflow problem by offering loans, but also tackle the problem at its root by improving payment terms.
  • We must continuously innovate in order to meet more of our customers’ finance needs – we won the BCR which helped us launch iwocapay, and we’re soon launching a revenue-based loan. We’re constantly evaluating new opportunities, and finding new ways that we can meet the financing needs of more small businesses.

We work hard to make iwoca a place where everyone feels welcome, where you can confidently be yourself. We understand that diversity isn’t an optional add-on, it’s the core ingredient of what makes us great.

We are looking for Data Scientists from strong analytical backgrounds that can take potentially ambiguous, real-world business problems and formulate statistical solutions, which can be implemented in a pragmatic way. We’re looking for people who understand the limitations and assumptions of such a modelling process and can generate actionable insights and build effective predictive models.

About us:

  • High calibre and diverse team of data scientists with a range of expertise.
  • All members of the team have strong analytical backgrounds in Physics, Mathematics, Engineering etc, some with PhDs in their respective field.
  • Broad and significant engagement in all steps of the problem solving process, including specification, solution proposal, implementation and delivery.
  • Our development cycle is tight and incorporates elements of Agile processes, which means features or projects go live in days or weeks rather than months or years.
  • We value personal development, constructive feedback, sharing knowledge and trying innovative solutions to problems.

What do we do?:

  • Application of statistical modelling and machine learning techniques.
  • Delivery of data driven solutions and predictions for a diverse range of business problems, including risk assessment and contact prioritisation.
  • Development of real-time data pipelining and delivery of ML predictions.
  • A/B testing and data analysis using statistical methods to generate insights and optimise existing and future business processes.
  • Multi-disciplinary projects with the wider tech team and business stakeholders.

Requirements

  • Strong analytical background, e.g PhD or degree in Mathematics, Physics, Engineering, Computer Science or related field; or equivalent experience.
  • Good understanding of the techniques used in statistical data analysis, ability to generate well founded insights from potentially unstructured data.
  • Some practical application of predictive modelling and pragmatic implementation of machine learning techniques to effectively solve real-world problems is a bonus.
  • Someone that isn’t satisfied with just applying out-of-the-box models, you want to know how they work, when they work and why they work.
  • Some practical object-oriented programming experience: Python, Java, C/C++ or similar.
  • Experience with some of the common Python data-science toolkits: Pandas, NumPy, SciPy, Scikit-learn is a bonus.
  • Experience with R, Matlab, and/or SQL would be beneficial.
  • Self-starter with ability to work autonomously in a relatively unconstrained environment.
  • A healthy skepticism and desire to build innovative, but practical, solutions to business problems.
  • Love for coding and getting hands-on with the raw data to really understand the underlying processes and nuances of the problem.

Benefits

What’s life like as an iwocan?

We all enjoy:

  • Bright, modern office spaces in Covent Garden & Leeds. We have always supported flexible working however during the current pandemic the majority of iwocans are working from home. We have taken every precaution to keep our offices COVID-19 secure for those that need to use them.
  • A calendar of ‘remote friendly’ events each week including Bingo, Comedy Nights, Escape Room challenges
  • Two company retreats a year (in places like the French Alps or Spanish seaside)
  • Pool, ping pong, foosball tables and tournaments
  • Virtual Yoga classes every Tuesday and Thursday morning
  • An ever-growing number of clubs including climbing, chess, football and boxing
  • Plenty of drinks and snacks in our office kitchen

Just for you:

  • Medical insurance from Vitality, including discounted gym membership
  • We take your well being incredibly seriously, so you’ll have instant access to emotional and mental health support services via our partner Spill
  • Share options
  • Enhanced maternity and shared parental leave
  • A workplace nursery tax benefit scheme. Save £££ on your nursery costs.
  • 25 days holiday per year and an extra day off on your birthday
  • All the equipment you need to set up your home working space up
  • Paid volunteering time for you to support your chosen charity
  • Bring your dog to work days, we’re dog friendly on Tuesday and Thursdays in our London office.
  • Extra leave if you want to travel or study
  • Special celebrations for anniversaries and long service including sabbatical
  • Flexible working arrangements
  • Cycle-to-work scheme

And to make sure we all keep learning, we offer:

  • L&D budget including a book budget to encourage you to keep learning
  • Company-wide talks with internal and external speakers
  • A calendar of meetups we host at our office
  • Access to learning platforms like Treehouse if you want to learn to code.

How to Apply

Please apply via: https://apply.workable.com/iwoca/j/BFAF6A5AA0/

Job Types: Full-Time. Job Tags: data analyst, data scientist, Fintech, Start-Up, Tech, and Technology.

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