Data Scientist, Commercial Finance in London

Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world's best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

We're a diverse team who partners and supports the business to enable delivery against our strategic and financial goals. All of our functions have an instrumental role within Farfetch to drive forward a financially sustainable business, ensuring we set the guardrails for financial control and enable financial performance.

As a Data Scientist embedded within the Commercial Finance structure, you will be a critical, hands-on partner responsible for structuring, analyzing, and deriving strategic insights from complex financial datasets. You will utilize advanced statistical modeling and machine learning to build predictive and analytical products that directly inform commercial strategy, forecasting, and financial performance across the business. This is an exciting opportunity for an experienced professional with a strong quantitative background to drive significant financial impact.

WHAT YOU'LL DO

• Financial Modeling & Analysis: Apply sophisticated statistical methods, time series analysis, and machine learning techniques to model financial performance, optimize pricing, analyze budget variances, and forecast key financial metrics. Extract, clean, and transform complex, high-volume financial and operational datasets to identify trends and actionable opportunities.
• Experimentation & Impact: Design and rigorously execute A/B tests and causal inference studies to measure the financial impact of changes in pricing, marketing investments, and operational efficiencies. Translate experimental results into clear, monetizable recommendations for the Commercial Finance and Operations teams.
• Data Structuring & Pipeline Collaboration: Serve as the primary liaison between Commercial Finance and Data Engineering to define, develop, and optimize robust data structures and pipelines specific to financial reporting and analysis needs. Ensure data quality, integrity, and scalability for all analytical and reporting needs.
• Stakeholder Engagement & Communication: Proactively partner with Senior Finance Managers, Budget Owners, and Commercial Leaders to understand complex business requirements, define analytical problems, and present data-driven solutions that influence strategic financial decisions.
• Reporting & Visualization: Develop and maintain dynamic dashboards, reports, and visualizations focused on tracking critical financial and commercial KPIs. Ensure insights are communicated clearly and concisely to both technical and non-technical finance stakeholders.
• Model Deployment: Collaborate with Engineering teams to operationalize and deploy financial and predictive models into production systems, ensuring accuracy, performance, and monitoring.

WHO YOU ARE

• 2-3 years of professional experience in a Data Scientist, Quantitative Analyst, or similar role, preferably within a Finance, Fintech, or Commercial environment.
• Bachelor's or Master's degree in a highly quantitative field such as Statistics, Mathematics, Engineering, Financial Economics, or a related discipline.
• Quantitative Foundation: Strong theoretical and practical foundation in statistical inference, econometrics, hypothesis testing, regression analysis, and machine learning principles.
• Domain Expertise: Demonstrated understanding of core financial concepts, reporting (P&L, balance sheet), forecasting processes, and commercial metrics.
• Technical Proficiency: Expert proficiency in programming languages and tools essential for data science: Python (Pandas, NumPy, Scikit-learn) and SQL.
• Forecasting Skills: Proven experience with advanced forecasting techniques, including time-series modeling (ARIMA, Prophet, etc.) and predictive machine learning models.
• Exceptional ability to translate complex analytical findings into clear, concise, and persuasive business narratives for executive-level finance and commercial audiences.
• Experience with GCP and Databricks is a plus.
• Familiarity with data visualization tools such as Looker, Looker Studio.
• Experience working with large-scale, complex transactional and financial data will be highly valued.
• A collaborative and proactive team player with a high degree of organizational skill and attention to detail.

REWARDS & BENEFITS

• Health insurance for the whole family, flexible working environment and well-being support and tools.
• Extra days off, sabbatical program and days for you to give back for the community.
• Training opportunities and free access to Udemy.
• Flexible benefits program.

EQUAL OPPORTUNITIES STATEMENT

FARFETCH is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.