Data Scientist - Sales & Marketing

iwoca Ltd
London
2 days ago
Create job alert

Data Scientist - Sales & Marketing

Hybrid in London


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. Weve 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. Well 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 team

The Sales & Marketing ("Direct Acquisition") team comprises our Marketing, Sales and Acquitech teams. We are responsible for reaching small and advertising finance to UK small businesses of all shapes and sizes. We do this through paid and organic marketing channels as well as direct sales.

We are an autonomous team with marketing, sales, software development, product, design, and data science team members. As a Data Scientist, youll work day to day with team members in all functions.


The role

As a Data Scientist in our Direct Acquisition team, you will play a crucial role working to set up and analyse tests, and to build statistical models. The data-driven insights you produce will help us develop strategies to improve the efficiency and effectiveness of our sales and marketing.

Strategy and innovation:

  1. Work closely with the Head of Direct Acquisition, team and channel leads to ensure that your work aligns with business goals and achieves valuable commercial outcomes.
  2. Design experiments to compare the performance of different strategies and evaluate them to inform decisions.
  3. Share your findings and modelling with the wider business to impact our strategy.

Ownership and influence:

  1. Independently build models to help solve our business problems, with responsibility for the solution design.
  2. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias.
  3. iwoca lives and breathes data, so data scientists have a key role in decision-making.

Development opportunities:

  1. Join our community of analysts/data scientists/statisticians to ensure alignment in methodology across iwoca. Youll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise.
  2. Build expertise in Acquisition processes across the full range of marketing and sales activities.


The projects

Here are some examples of projects you might work on:

  1. Setting up, monitoring and analysing split tests to help understand the value of marketing and sales activities. This could include determining the return on investment of different types of marketing strategies.
  2. Building predictive models based on sales and marketing data, to determine whether certain activities lead to a positive return.
  3. Building statistical models to enhance the ability of sales teams to do accurate forecasting and capacity planning.


The requirements

Essential:

  1. Strong problem-solving skills in probability and statistics.
  2. Ability to dive deep into the business context and translate data into actionable insights.
  3. Capability to manage projects end-to-end and produce good outcomes without much supervision.
  4. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R.
  5. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS.
  6. Degree in Statistics, Mathematics, Physics or equivalent.

Bonus:

  1. Experience implementing solutions in a production environment (e.g., continuous integration).
  2. Experience with Python. (Note: we mostly work in Python.)
  3. Experience with Bayesian statistics.


The salary

We expect to pay from £70,000 - £90,000 for this role. But, were 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.


The offices

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

  1. Offices in London, Leeds, Frankfurt, and Berlin with plenty of drinks and snacks.
  2. Events and clubs, like bingo, comedy nights, yoga classes, football, etc.


The benefits

  1. Medical insurance from Vitality, including discounted gym membership.
  2. A private GP service (separate from Vitality) for you, your partner, and your dependents.
  3. 25 days holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
  4. A one-month, fully paid sabbatical after four years.
  5. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
  6. 3% pension contributions on total earnings.
  7. An employee equity incentive scheme.
  8. Generous parental leave and a nursery tax benefit scheme to help you save money.
  9. Electric car scheme and cycle to work scheme.
  10. Two company retreats a year, weve been to France, Italy, Spain, and further afield.

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

  1. A learning and development budget for everyone.
  2. Company-wide talks with internal and external speakers.
  3. Access to learning platforms like Treehouse.


Useful links:

  1. See iwoca benefits & policies for detail and some additional benefits.
  2. See interview welcome pack to learn more about the process.

J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist- Consumer Behaviour

Lead Data Scientist

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.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.