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18 Nov 2021

Full-Time Senior Data Analyst / Scientist

iwoca – Posted by talent@iwoca London, England, United Kingdom

Job Description

About iwoca

We started in 2012, when we noticed a problem: on average, it was taking eight weeks (and a lot of paperwork) for small businesses to apply for a loan. Worse still, more often than not, that process was ending in a ‘no’.

We knew that bakeries, building firms, salons, and solicitors deserved better. They deserve to be able to grow – hire more hands, invest in stock, market themselves – without all the hold music and absurdly rigid criteria.

We’ve now been around for a decade, and in that time, we’ve:

  • grown to a team of 290 iwocans
  • worked with over 50,000 small businesses across the UK and Germany
  • redesigned the whole business loan process from start to finish – our record is three minutes, 26 seconds.

It’s a good start, but it’s just the beginning. Our mission is help one million businesses who need us, so we still have a long way to go.

Here’s what we’ve learned about lending along the way

  • Technology is the way to change this space

From automated decisions to API integrations, tech has the potential to create the changes small businesses have been waiting for – so we can’t stop innovating.

  • Embedded finance is the future

More and more, we’re reaching customers by embedding our loans within the apps and systems they use everyday. Our partners are people like neobanks, online marketplaces and accountancy software companies.

  • Payments and credit are converging

Lots of small businesses struggle with cash flow; often getting invoices paid from their customers months after paying their own bills. Loans can help them pay these bills, but we also want to tackle the problem at its root by improving payment terms.

  • New products are always possible

We’re working to create new loans of all shapes and sizes, and we’ve recently launched iwocaPay to help with these cash flow conundrums.

We work hard to make iwoca a place where everyone feels welcome – we want everyone to confidently be themselves. For us, diversity isn’t an optional add-on. It’s the thing that makes us great.

The Role

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.

We want to pay all of our employees fairly, so that’s why we regularly benchmark salaries based on market rates and to recognise your increasing value to our business. We are ideally looking to pay between £65,000 – £100,000 for this role, this isn’t fixed so let us know in your application what you are looking for. We know there may be some candidates who may not fit within this salary range, if this is the case we would still love to hear from you.

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 Fitzrovia & 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
  • 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 Categories: Equal Opportunities. Job Types: Full-Time. Job Tags: data analyst and data scientist. Salaries: 80,000 - 100,000.

Job expires in 29 days.

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