Senior Data Scientist - UK Ops

London, England, United Kingdom

Applications have closed

iwoca

Get a quick decision on iwoca business loans ranging from £1,000 to £500,000. Repay in 1 day to 24 months with no penalty for early repayment. Fast, flexible finance for UK businesses.

View company page

We’re here because we believe in small businesses. We believe they deserve better than waiting weeks for a loan. And we believe it’s our job to help them grow.

We started in 2012 with these principles, and we hold true to them today – now that we’re one of the fastest-growing fintechs in Europe. In the time between, we’ve built the best tech platform in lending, won several awards and opened up £3.5 billion in loans to over 90,000 businesses.

So what’s next? Our mission now is to help one million businesses who need us. To do this, we’ll need new products and partnerships. But most of all, we’ll need smart, hands-on people to join us on the journey and get us to our goal.

The role

We are looking for a Data Scientist who loves to code and get their hands dirty with raw data. It doesn't really matter whether people call you an Engineer, Physicist or Mathematician, what matters to us is that you are a curious and continuous learner with a hunger to achieve the very best in what you do.

Our Data Scientists develop cutting edge algorithms using statistical modelling and machine learning techniques. Using Python (Pandas, NumPy, and Scikit-learn) they work in a fast-paced, collaborative and dynamic environment to produce data driven solutions, which will have significant business impact.

As the UK Ops Data Scientist, you will play a crucial role in enhancing operational efficiency across various domains. Here are some examples of projects you might work on:

  • Setting up, monitoring and analysing split tests to help understand the value of operations activities. e.g. determining the ROI of different types of outbound calls that are made by our Account Managers, or understanding the effectiveness of third parties (relative to our in-house collections teams) at recovering overdue payments from delinquent customers
  • Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction
  • Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning and scenario analyses

This role will enable you to build deep expertise in Operations processes across the full range of the customer journey. From sign up through to collections' activities, to developing valuable data-driven insights, which will help to guide the development of effective policies and improve the efficiency of our Operations teams (currently c100 people, across Leeds and London).

You’ll be embedded within our Operations Strategy team, working very closely with Operations staff and business stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. You will work closely with other Data Scientists across the business, and be part of a peer group with other domain experts that you can share and deepen your technical expertise and then apply your knowledge within the Operations area.

Requirements

  • Strong numerate background, e.g. Maths, Physics, Engineering etc.
  • Must have a background in Probability, Statistics and Bayesian Analysis.
  • Experience with Pandas, Scikit-learn, NumPy, SciPy, R, Matlab, and/or SQL.
  • Programming experience: Python, Java, C/C++ or similar.
  • Experience using machine learning techniques.
  • Strong basis in computer-science fundamentals.
  • Self-starter with ability to work autonomously in an unstructured environment.

We expect to pay from £60,000 - £100,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and regularly remunerate staff for their increasing value to our business.

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. You'll have access to ample opportunities for skill-building, mentorship, and career progression, and can decide your career path, focusing on frontend, branching into full-stack, or developing your skills in project and people leadership.

We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.

Our friendly and inclusive environment, combined with our flexible work policies, ensures that you'll have the perfect balance between work and life, empowering you to thrive both personally and professionally.

Benefits

We put a lot of effort into making iwoca a brilliant place to work:

  • Offices in London, Leeds, and Frankfurt.
  • Events and clubs, like bingo, comedy nights, yoga classes, football…
  • Two company retreats a year, we’ve been to France, Italy, Spain and further afield
  • Plenty of drinks and snacks in our offices.

We offer a wide range of benefits:

  • Medical insurance from Vitality, including discounted gym membership
  • 25 days’ holiday and an extra day off for your birthday
  • Instant access to emotional and mental health support with our partner, Spill
  • Generous maternity leave and shared parental leave
  • A nursery tax benefit scheme to help you save money
  • Paid volunteering time to support your chosen charity
  • Extra leave if you want to travel or study
  • One-month fully paid sabbatical after 4 years
  • Cycle-to-work scheme and electric car scheme

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

  • An L&D budget for everyone, including a book budget
  • Company-wide talks with internal and external speakers
  • Access to learning platforms like Treehouse.

Tags: Bayesian Engineering Java Machine Learning Matlab NumPy Pandas Physics Python R Scikit-learn SciPy SQL Statistics

Perks/benefits: Career development Fitness / gym Flex hours Flex vacation Health care Medical leave Paid sabbatical Parental leave Team events Travel Yoga

Region: Europe
Country: United Kingdom
Job stats:  18  4  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.