Senior Data Scientist

FARFETCH; Porto; On-site; EUR 50,000 - 70,000; Full time

Benefits offered by this job

Health insurance for family

Flexible working environment

Sabbatical program

Udemy training access

Flexible benefits program

Job summary

Luxclusif in Porto seeks a Data Scientist to join a multidisciplinary data team building strategic data products to enable competitiveness and analytics across the organization. You will design, build, and expand data solutions using Python, SQL, and ML tools, collaborating with engineers and analysts on high-impact challenges while focusing on data quality and scalable deployments.

This role offers growth in a technology-driven luxury resale platform with CI/CD and cloud integration across

Qualifications

• Degree in Mathematics, Computer Science, ML or equivalent.
• 5+ years of experience in data science roles with production data products.
• Ability to design, model, develop, test and productize ML solutions.
• Experience with SQL and Python; familiar with TensorFlow.

Responsibilities

• Collaboratively design, build, and maintain data solutions within our platform using statistical methods and ML techniques.
• Work with Engineers and Analysts on impactful data challenges and evolve data products.
• Perform analyses and experiments to identify opportunities and inform new implementations.

Skills

5+ years experience

Data science

Python

SQL

Machine Learning

CI/CD

Cloud

Education

Mathematics/CS/ML degree

Tools

TensorFlow

CI/CD tools

Cloud platforms

Job description

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.