Data Scientist - Acquisition Tech Teamiwoca Deutschland • City of London, England, United Kingdom

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Data Scientist - Acquisition Tech Team

iwoca Deutschland

+2
+6
City of London, England, United Kingdom

+2
+6
City of London, England, United Kingdom

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Über

OverviewData Scientist - Acquisition Technology. Hybrid in London, United Kingdom.iwoca's mission is to empower small businesses with fast, flexible finance. Since 2012, we have helped thousands of businesses access finance and scale their operations. 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.The roleAs 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.The projectsRun 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.EssentialThe requirementsExpertise 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.BonusUnderstanding 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 salaryWe expect to pay from £60,000 - £90,000 for this role. We’re open-minded, so please include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.The cultureAt 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 officesOffices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacksEvents and clubs, like bingo, comedy nights, football, etc.The BenefitsFlexible working hoursMedical insurance from Vitality, including discounted gym membershipA private GP service (separate from Vitality) for you, your partner, and your dependents25 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 leaveA one-month, fully paid sabbatical after four yearsInstant access to external counselling and therapy sessions for team members that need emotional or mental health support3% Pension contributions on total earningsAn employee equity incentive schemeGenerous parental leave and a nursery tax benefit scheme to help you save money.Electric car scheme and cycle to work schemeTwo company retreats a yearUseful linksiwoca benefits & policiesInterview welcome pack #J-18808-Ljbffr

Wünschenswerte Fähigkeiten

Matlab
Numpy
Pandas
Python
R
SciPy

City of London, England, United Kingdom

Berufserfahrung

Machine Learning
Data Scientist

Sprachkenntnisse

English

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