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Senior Data Scientist

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build and maintain data products using statistical and machine learning methods

  • Run analysis and experiments to find opportunities and support new implementations

  • Expand data products using state-of-the-art technologies

From the employer’s posting
Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques.
Perform analysis and experiments that allow the team to identify opportunities and follow new implementations
Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.

What you’ll bring

All qualifications

Core experience

  • At least 5 years in data science with production-level data products
  • Degree in Mathematics, Computer Science, Machine Learning or equivalent
  • Experience designing, developing and productizing machine learning solutions
  • SQL and Python programming
  • Comfortable speaking English
Qualification wording
You have at least 5 years of experience in the role or similar with proven experience on data science environments, building and architecture production-level data products.
You have a degree in Mathematics, Computer Science, Machine Learning or equivalent specialized training/certification.
You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions.
You have experience in SQL and Python programming
you’re also comfortable speaking English
Apply at Farfetch

Posting record

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Open 6 monthsWe first saw this posting 205 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 15, 2026205 days ago
Recorded sightings
230
Last seen by us
Nov 6, 2026
Employer says posted
Jan 26, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 205

Up longer than most. Similar jobs usually come down between day 7 and day 56.

Well past Farfetch’s usual: its jobs come down by about day 43.

From 10,418 similar postings that came down, and 12 of Farfetch’s. Coming down is not always a hire.

Farfetch is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • TensorFlow
Where the posting names them
- You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions. - You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries). - You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.

Your next step

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,818.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Luxclusif is a technology-driven global B2B platform founded in 2013 and part of Farfetch since 2021. Dedicated to redefining the luxury paradigm by offering premium pre-owned fashion to a global audience, Luxclusif has pioneered the global luxury resale market, with advanced data-driven solutions to facilitate the buying and selling of high-end pre-owned items. With operations spread across the globe and strategic warehouses in key locations, ensure a seamless supply of luxury goods, ensuring item curation, quality control, operations, logistics to technology integrations and sales, delivering an unmatched resale experience for brands, retailers, and end-customers.

THE TEAM
Our R&D team is responsible for designing, developing, and evolving the internal products that power our business. As a B2B company specialising in second-hand luxury items, we rely on technology to optimise every stage of our operations, from buying and inbound logistics to selling and post-sales support. We are a global team with members across Portugal, Brazil, and the Philippines.

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.

THE ROLE
As a Data Scientist you will be part of a multidisciplinary team within the Data cluster, responsible for the development of strategic data products to enable company competitiveness and analytical insights collaborating closer with the R&D Products line. We're looking for a team player that is passionate about tech products and is looking for eager opportunities to grow.

WHAT YOU’LL DO

  • Collaboratively design, build, and maintain solutions within our platform using multiple tools applying statistical approaches and machine learning techniques.
  • Working closely with our Engineers and Analysts in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
  • Perform analysis and experiments that allow the team to identify opportunities and follow new implementations contributing directly to the evolution of our data products.

WHO YOU ARE

  • You have a degree in Mathematics, Computer Science, Machine Learning or equivalent specialized training/certification.
  • You have at least 5 years of experience in the role or similar with proven experience on data science environments, building and architecture production-level data products.
  • You’re capable to design, model, develop, test and maintain machine learning solutions and you have the experience to productize these solutions.
  • You have experience in SQL and Python programming (familiar with TensorFlow and other machine learning libraries).
  • You’ve a strong sense of the data lifecycle and you’re obsessed with data quality.
  • Proactive mindset regarding AI tools and solutions with high impact for the business and productivity.
  • You are problem solving oriented and you’re also comfortable speaking English.
  • Experience with CI/CD tools and cloud environments.

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.

SCAM DISCLAIMER

  • It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.

Employment type

Full-time

Source details

View original posting ↗

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Porto

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