Data Scientist, Commercial Finance at Farfetch

Porto, Porto District, Portugal

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Luxury Fashion, E-commerce, FinanceIndustries

Requirements

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
Strong theoretical and practical foundation in statistical inference, econometrics, hypothesis testing, regression analysis, and machine learning principles
Demonstrated understanding of core financial concepts, reporting (P&L, balance sheet), forecasting processes, and commercial metrics
Technical proficiency (implied in role requirements for data handling, modeling, and tools)

Responsibilities

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
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 results into clear, monetizable recommendations
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
Proactively partner with Senior Finance Managers, Budget Owners, and Commercial Leaders to understand business requirements, define analytical problems, and present data-driven solutions
Develop and maintain dynamic dashboards, reports, and visualizations focused on tracking critical financial and commercial KPIs; communicate insights clearly to technical and non-technical stakeholders
Collaborate with Engineering teams to operationalize and deploy financial and predictive models into production systems, ensuring accuracy, performance, and monitoring

Skills

Key technologies and capabilities for this role

Statistical ModelingTime Series AnalysisMachine LearningFinancial ModelingData ExtractionData CleaningData TransformationA/B TestingForecastingPricing Optimization

Questions & Answers

Common questions about this position

What is the salary or compensation for this Data Scientist role?

This information is not specified in the job description.

Is this Data Scientist position remote or office-based?

The role is based in the Porto office near Porto in the north of Portugal, located in a vibrant business hub.

What key skills are required for this Data Scientist position?

The role requires advanced statistical modeling, machine learning, time series analysis, A/B testing, causal inference, data extraction and transformation, and stakeholder communication skills.

What is the company culture like at Farfetch's Finance team?

The Finance team is diverse and partners with the business to enable strategic and financial goals, playing an instrumental role in driving a financially sustainable business with financial control.

What makes a strong candidate for this Data Scientist role?

A strong candidate is an experienced professional with a strong quantitative background who can serve as a hands-on partner in structuring, analyzing complex financial datasets, and deriving strategic insights using advanced modeling.

Farfetch

Online marketplace for luxury fashion items

About Farfetch

Farfetch operates as a global online marketplace for luxury fashion, linking high-end brands and boutique retailers with consumers. The platform allows users to browse and purchase a wide range of luxury items, ensuring that both brands and retailers can reach a worldwide audience. Farfetch's business model is centered around facilitating these transactions, earning revenue primarily through commissions on sales made through its site. Additionally, it offers services like digital marketing and logistics to help its partners enhance their online presence. A distinguishing feature of Farfetch is its acquisition of LUXCLUSIF, a luxury resale platform, which enables it to cater to the growing demand for pre-owned luxury goods. The company's goal is to provide a seamless shopping experience for luxury fashion enthusiasts while supporting brands and retailers in expanding their reach.

London, United KingdomHeadquarters

2007Year Founded

$682.9MTotal Funding

IPOCompany Stage

Consumer Software, Consumer GoodsIndustries

1,001-5,000Employees

Benefits

Health Insurance

Flexible Work Hours

Employee Pension Scheme

Risks

Increased competition from Mytheresa could impact Farfetch's market share.

Farfetch faces challenges in maintaining its presence in the Chinese market.

The sale to Coupang indicates potential financial instability for Farfetch.

Differentiation

Farfetch connects luxury brands and consumers through a unique online marketplace.

The platform offers modular, API-enabled technology for luxury fashion brands.

Farfetch provides commerce solutions, enhancing brands' online presence and sales.

Upsides

Virtual try-on technology is gaining popularity in luxury fashion.

Farfetch can capitalize on Yoox Net-A-Porter's exit from China.

Exclusive partnerships, like with Officina Bernardi, enhance Farfetch's offerings.

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