Data Scientist

Where technology meets fashion!

Job details

  • Full-time
  • calendar
  • map markerPorto, PT
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeIntermediate
  • routeEnglish
    Preferred spoken language

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We have rapidly grown into a truly global company since our launch in 2008 and we’re continuing to grow. Our family now includes partner boutiques and brands across Europe, North and South America and Asia; we demonstrate our ‘Think Global’ value in everything we do.

We are a global team of over 1,500 people and have offices based in London, New York, L.A., Porto, Guimaraes, Lisbon, Sao Paulo, Shanghai, Moscow, Hong Kong & Tokyo.

We are a company with an entrepreneurial spirit and innovative culture. We are positive, passionate and live our values: Be Human, Be Brilliant, Todos Juntos, Be Revolutionary, Think Global and Amaze Customers day to day.

The Team

Our world class Product team is responsible for our customer’s journey through our platforms. Focusing on UX & Digital Design, the teams are split across our offices in London, Porto and Lisbon. Working across Front Office, Backoffice and Mobile they help to create the iconic ‘Farfetch’ look and feel. They’re true ambassadors of our business and ensure we're at the forefront of the latest technology while demonstrating our ‘Be Revolutionary’ value.

The Role

You will contribute to building the next-generation search and natural language interfaces that apply semantic technology to match user intent and interests with products. It involves query understanding but also scoring and ranking of results, and everything else we need to do to deliver the right results to the right customers at the right time.

What you'll do

Inform product strategy, influence the product road map, and guide product decisions by:

  • Accessing and analyzing data to generate insights and make proactive recommendations
  • Formulating success metrics for search quality and search experience, creating dashboards/reports to monitor them
  • Designing and analyzing experiments to test new ideas for improving Farfetch search
  • Developing models and data-driven solutions that add material lift to search relevance and experience

Main requirements

  • A graduate of a Masters or a Doctorate program in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, Economics, Social Sciences etc.

  • Knowledgeable in one of the following areas is a strong plus: information retrieval, user intent modeling online and offline measurement of search quality, personalization, mobile search

  • A professional with strong statistics fundamentals (especially A/B testing)

  • Passionate for proactively identifying product opportunities through creative data analysis and modeling

  • Able to communicate findings clearly to both technical and non-technical audiences

  • Interested and passionate for big data technologies (e.g., Hadoop, Mahout, Pig, Hive)

  • Experienced in working with data modeling and machine learning software (e.g. R, Python)

  • Strongly Experienced in programming using R, Python, Java, or equivalent

  • Strongly skilled in Excel and SQL

  • Strongly skilled in statistics fundamentals

  • An excellent communicator and with presentation skills, both verbal and written

  • Strongly skilled in English, both written and spoken

  • Experienced in providing practical business insights from large, complex data sets is also an advantage

Nice to have

  • Experienced in data visualization tools or packages


  • Healthcare Insurance
  • Company bonus
  • Performance bonus
  • Farfetch welcome voucher (130 GBP)
  • Staff discounts
  • Birthday day off
  • Free food and drinks (coffee, tea, soup, bread, milk, fruit, yogurts, cornflakes)
  • Fun room (ping-pong table; Foosball table; Xbox; Wii)
  • Parking lot
  • Great parties

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300