Data Scientist - Ops

Data Bene
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

We’re looking for a Data Scientist

As a data scientist in our Operations Strategy team you’ll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers.

The company

Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. 

Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service 

The role

As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help to guide the development of effective processes and improve efficiency across different areas of our UK and Germany Operations teams (currently c.180 people, across London, Leeds and Frankfurt) all while maintaining an exceptional level of customer service. 

You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams.  

You’ll build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. You’ll work 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 also work with other Data Scientists across the business, and be part of a peer group with whom you can share and deepen your technical expertise.

The projects

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. This could include 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

The requirements

Essential:

  • Strong problem solving skills in probability and statistics, likely from a numerate background, e.g. in Engineering, Mathematics, Physics, or similar.

  • Proficiency with data manipulation and modelling tools — e.g. pandas, statsmodels, R.

  • Experience with scientific computing and tooling — e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS.

  • Self-starter with ability to work autonomously and efficiently manage projects end-to-end.

  • Excellent communication skills, you tailor your communication style and the technical detail according to your audience.

Bonus:

  • Demonstrable experience using machine learning techniques.

The salary

The salary range is £60,000 - £90,000 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 run quarterly performance and salary reviews. 

The culture

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. 

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.

The offices

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

  • Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks.

  • Events and clubs, like bingo, comedy nights, yoga classes, football, etc.

The benefits

  • Medical insurance from Vitality, including discounted gym membership, and a private GP service for you, your partner, and your dependents.

  • 25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional 5 days of annual leave, unlimited unpaid leave, and one-month fully paid sabbatical after 4 years.

  • Instant access to emotional and mental health support with our partner, Spill.

  • Pension and share options.

  • Generous parental leave and a nursery tax benefit scheme to help you save money.

  • Paid volunteering day to support your chosen charity.

  • Cycle-to-work scheme and electric car scheme.

  • Two company retreats a year, we’ve been to France, Italy, Spain and further afield.

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

  • A learning and development budget for everyone.

  • Company-wide talks with internal and external speakers.

  • Access to learning platforms like Treehouse.

Useful links:

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.