Data Scientist – Experimentation Platform

Farfetch is a leading global marketplace for the luxury fashion industry, connecting customers in over 190 countries with items from more than 50 countries and over 1,400 of the world’s best brands and charming boutiques from around the world. Farfetch opens a world of luxury for endless expressions of style, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

TECHNOLOGY

The Technology team builds end-to-end products and solutions that power our marketplace, delivering an incredible experience for customers globally. From understanding customer and partner needs to designing and testing innovative hypotheses, we create industry-leading experiences for luxury customers everywhere.

PORTO

Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.

We are looking for an experienced and hands-on Data Scientist to join our Data team at FARFETCH, with a focus on evolving our in-house Experimentation Platform and its custom-built Statistical Engine.

Our Experimentation Platform enables teams across FARFETCH to run A/B tests, measure the impact of product changes, and make data-driven decisions at scale. At its core, our Python-based Statistical Engine processes experiment results and powers automated, self-service analytics.

In this role, you will take technical ownership of the Statistical Engine, combining strong statistical expertise with software engineering skills to improve its reliability, scalability, and analytical capabilities.

You will work closely with Data Engineering, Data Analytics, Product, and Engineering teams to modernise our experimentation capabilities, introduce advanced statistical methods, and explore how AI can accelerate platform development and improve experimentation workflows.

• Ensure our Statistical Engine delivers accurate, reliable, and timely experiment results.
• Improve our experimentation capabilities, helping teams detect meaningful changes andmake decisions faster.
• Evolve the platform to support new statistical methods, experiment designs, and businessneeds.
• Make the Statistical Engine easier to maintain, scale, and extend as our experimentationneeds grow.
• Work with Data Engineering to improve data availability and integration with our DataPlatform.
• Explore how AI and new technologies can help us develop and improve the platform moreefficiently.
• Partner with Data Analysts, Engineers, and Product Managers to turn experimentationchallenges into practical solutions.

• Required Skills & Experience
• Good Python skills and experience developing or maintaining applications.
• Understanding of statistics, hypothesis testing, and A/B testing.
• Experience working with SQL and analysing datasets.
• Familiarity with software development practices, including version control and testing.
• Willingness to learn, investigate problems, and improve existing solutions.
• Good communication skills and ability to work with different teams.
• Preferred Skills
• Experience with A/B testing or experimentation platforms.
• Familiarity with statistical methods such as causal inference or variance reduction.
• Experience with cloud data platforms, ideally Google Cloud or BigQuery.
• Some knowledge of machine learning or AI-assisted development tools.

• Health insurance for the whole family and other well-being resources
• 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) and Boomerang: sabbatical program after 5 years service
• Training opportunities and free access to LinkedIn Learning
• Flexible benefits program
• Flexible working environment

EQUAL OPPORTUNITIES

• Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process.

We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law.