Data Scientist - Acquisition Tech Team in City of Westminster

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.
• 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.
• A commitment to using modern tools effectively - including AI - to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes.
• Bonus: Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
• Bonus: Experience building machine learning models from scratch, including creating custom optimisers.
• Bonus: Knowledge of stochastic processes and related mathematical techniques.
• Bonus: Experience working with Python, our primary programming language.
• Bonus: Understanding of financial concepts such as deterministic cash flows.

Qualifications

• Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
• 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.
• Experience working with Python, our primary programming language.
• Understanding of financial concepts such as deterministic cash flows.

Benefits

• 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 that need emotional or mental health support.
• 3% Pension contributions on total earnings.
• An employee equity incentive scheme.
• Generous parental leave and a nursery tax benefit scheme to help you save money.
• Electric car scheme and cycle to work scheme.
• Two company retreats a year: we've been to France, Italy, Spain, and further afield.
• A learning and development budget for everyone.
• Company-wide talks with internal and external speakers.
• Access to learning platforms like Treehouse.