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Data Scientist - Acquisition Tech Team

iwoca

Camden Town

On-site

GBP 60,000 - 90,000

Full time

Today
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Job summary

A financial technology company in Camden Town is seeking a Data Scientist to shape business growth through statistical and predictive modeling. You will design experiments, analyze data, and drive insights that influence marketing strategies. The ideal candidate will have expertise in probability and statistics, experience with data manipulation tools, and proficiency in Python. Competitive salary and flexible working hours offered.

Benefits

Salary range: £60,000 - £90,000
Flexible working hours
Medical insurance
Private GP service
25 days' holiday plus options
Paid sabbatical after four years
3% pension contributions
Employee equity incentive scheme
Learning and development budget

Qualifications

  • Expertise in probability and statistics from a quantitative field.
  • Ability to understand business context for data-driven decisions.
  • Proficiency with data manipulation and Python.

Responsibilities

  • Run controlled experiments across channels to drive conversions.
  • Build frameworks for Paid Search and Paid Social.
  • Develop statistical attribution models.

Skills

Probability and statistics expertise
Ability to translate data into actionable insights
Proficiency with data manipulation tools
Experience with scientific computing tools
Ability to manage projects end to end
Clear communication skills
Understanding of Bayesian statistics
Experience building machine learning models
Knowledge of stochastic processes
Experience with Python

Education

Degree in Mathematics, Physics, Statistics or similar

Tools

Pandas
Statsmodels
R
NumPy
SciPy
Job description
Overview

As a Data Scientist in the DE Acquisition Tech team, you'll shape how iwoca grows. You'll design and evaluate experiments, build statistical and predictive models, and turn complex data into clear insights. You'll own projects end to end while working closely with stakeholders to align your work with business goals. The models and insights you deliver will directly influence how we invest in sales and marketing, giving you visibility across the company and impact on customer acquisition.

Responsibilities
  • Run controlled experiments across paid and organic channels, generating evidence on what drives conversions.
  • Build and refine frameworks for Paid Search and Paid Social, enabling smarter bidding and more effective performance.
  • Develop statistical attribution models to give clear insight into channel impact.
  • Design predictive lead scoring models that help target valuable prospects more effectively.
  • Own projects end to end, framing the question, delivering outcomes, and communicating results to stakeholders.
Qualifications
  • Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
  • Ability to understand business context and translate data into actionable insights that guide decisions.
  • Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
  • Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
  • Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
  • Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
  • Bonus: Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
  • Experience building machine learning models from scratch, including creating custom optimisers.
  • Knowledge of stochastic processes and related mathematical techniques.
  • Experience working with Python, our primary programming language.
  • Understanding of financial concepts such as deterministic cash flows.
The Team

The DE Acquisition Tech team sits at the heart of iwoca's growth strategy. Its mission is to help Marketing and Sales reach and engage small businesses of every kind, showing how our finance can empower their ambitions. The team enables smarter, data-driven decision-making across paid and organic channels as well as direct sales. By embedding engineers, product managers, designers, and data scientists together, the team acts as a self-sufficient unit, shaping strategies that deliver measurable commercial impact.

About iwoca

Since 2012, we’ve revolutionised how small businesses access finance, turning what was once a lengthy, frustrating process into something fast, flexible, and actually works for modern businesses. We’ve provided billions in funding to more than 150,000 businesses across Europe, and we aim to empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need—often within minutes.

What we offer
  • Salary range: £60,000 - £90,000 (we’re open-minded; please include your salary goals).
  • Flexible working hours
  • Medical insurance from Vitality, including discounted gym membership
  • A private GP service (separate from Vitality) for you, your partner, and your dependents
  • 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave
  • A one-month, fully paid sabbatical after four years
  • Instant access to external counselling and therapy sessions for team members in need
  • 3% Pension contributions on total earnings
  • An employee equity incentive scheme
  • Generous parental leave and a nursery tax benefit scheme
  • Electric car scheme and cycle to work scheme
  • Two company retreats a year
  • A learning and development budget for everyone
  • Company-wide talks with internal and external speakers
  • Access to learning platforms like Treehouse
  • Useful links: iwoca benefits & policies; interview welcome pack
Compensation

Compensation Range: £60K - £90K

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