Staff Data Scientist

Vestiaire Collective; Oxford; On-site; GBP 59,000 - 75,000; Full time

Job summary

A leading global online marketplace is seeking a Staff Data Scientist to develop AI models that enhance operational workflows and customer experiences. You will design end-to-end AI solutions for quality detection and collaborate with teams to improve verification processes. Candidates must have 6+ years of experience in data science, expertise in machine learning, and the ability to work in a diverse team environment. Competitive compensation and growth opportunities are offered.

Benefits

Career-defining work

Significant investment in your learning

Competitive compensation and benefits

Qualifications

• Experience in architecting, deploying, and maintaining AI systems at scale.
• Deep expertise in applied AI/ML for computer vision applications.
• Proficiency in programming languages such as Python and relevant libraries.

Responsibilities

• Design and own end-to-end AI/ML solutions for item quality detection.
• Collaborate with teams to define requirements and enhance verification processes.
• Perform rigorous model evaluation and continuous improvement.

Skills

Machine learning expertise

Problem-solving skills

Fluency in English

Computer vision

Customer-facing models

Education

6+ years of experience in data science or AI development

Tools

Python

TensorFlow

PyTorch

scikit-learn

OpenCV

Cloud platforms (AWS, GCP, Azure)

SQL

Job description

We are seeking a highly skilled and experienced Staff Data Scientist to join our Operations and Customer Service department. You will be instrumental in developing advanced AI models that enhance both internal operational workflows and customer‑facing experiences. This includes building systems that help our Curation team verify product quality and authenticity from customer‑provided descriptions and images, as well as exploring and delivering new models aimed at improving how customers interact with our platform. The role requires strong end‑to‑end machine learning expertise and a user‑centric mindset to drive measurable improvements in accuracy, operational efficiency, and overall customer experience.

Responsibilities

• Design and own end‑to‑end AI/ML solutions for item quality and authenticity detection, spanning image analysis (detecting marks, defects, wear, size inconsistencies).
• Text and metadata understanding (brand, sizing, category anomalies).
• Counterfeit and fraud detection models; design, prototype, and iterate on AI models that directly power and improve customer‑facing experiences on our platform (e.g., smarter assistance).
• Collaborate closely with Product and Curation teams to define requirements, integrate AI models into their workflow, and provide insights to enhance verification processes.
• Advise and direct data/feedback collection for continuous improvement and monitoring of model performance.
• Perform rigorous model evaluation, A/B testing, and continuous improvement of AI models.
• Work with engineering teams to ensure seamless deployment and integration of AI models into existing platforms.
• Research and stay updated on the latest advancements in AI, machine learning, deep learning and computer vision to identify new opportunities and best practices.
• Mentor senior and mid‑level data scientists, raising the technical bar on modeling, data quality, and experimentation best practices.
• Communicate complex technical concepts and findings to both technical and non‑technical stakeholders.

Qualifications

• 6+ years of experience in data science, machine learning engineering, or AI development, with strong focus on computer vision applications and customer‑facing models.
• Deep expertise in applied AI/ML (computer vision, anomaly detection, fraud/risk modeling) and a track record of leading technical initiatives and influencing decisions across teams.
• Experience in architecturing, deploying, and maintaining AI systems at scale.
• Proficiency in programming languages such as Python and relevant libraries/frameworks (TensorFlow, TorchServe, TensorFlowServing, PyTorch, scikit‑learn, spaCy, Hugging Face Transformers, OpenCV).
• Deep understanding of machine learning algorithms, statistical modeling, and data manipulation techniques.
• Experience with data visualization tools and communicating insights effectively.
• Strong problem‑solving skills, with the ability to tackle complex, ambiguous problems.
• Ability to work independently and collaboratively in a fast‑paced, global team environment.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
• Experience building or maintaining customer service chatbot systems is a plus.
• Familiarity with database technologies (SQL, NoSQL) and cloud data warehouses (BigQuery, Snowflake).
• Excellent communication and interpersonal skills.
• Fluency in written and spoken English (applications should be in English only).

Company Information

Vestiaire Collective is the leading global online marketplace for desirable pre‑loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 700 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness, and Collective. We are proud to be a BCorp.

Technical Skills

• Deep learning & ML frameworks & Libraries: PyTorch, TensorFlow, scikit‑learn, OpenCV, TorchServe, TensorFlowServing.
• Model serving: Airflow, Torchserve, TFServing, Triton Inference Server, REST APIs, gRPC.
• Deployment: Kubernetes.

What we offer

• A meaningful job with an impact on the way people consume fashion and promote sustainability.
• The opportunity to do career‑defining work in a fast‑growing French‑born scale‑up.
• The possibility to work as part of a globally diverse team with more than 50 nationalities.
• Two days to help a project — reinforcing your activist journey and volunteering for an association.
• Significant investment in your learning and growth.
• Competitive compensation and benefits package.
• As a full member of our entrepreneurial project, you will be eligible for free shares.