Senior Applied Scientist - Recommendations

TN United Kingdom; London; On-site; GBP 60,000 - 95,000; Full time

Job summary

Join a forward-thinking company as a Senior Applied Scientist, where you'll leverage your expertise in deep learning and recommender systems to enhance the shopping experience for millions. Collaborate with cross-functional teams to build and scale algorithms that influence operational decisions. You'll have the opportunity to mentor junior members, participate in innovative tech initiatives, and contribute to a culture of diversity and inclusion. This role offers personal development opportunities, employee discounts, and a supportive work environment that fosters growth and creativity.

Benefits

Employee discount (ASOS discount!)

Personal development opportunities

Employee sample sales

Access to LinkedIn Learning

25 days paid leave + a celebration day

Discretionary bonus scheme

Private medical care

Flexible benefits allowance

Qualifications

• Experience in building large-scale recommender systems.
• Proficient in Python and deep learning frameworks.

Responsibilities

• Develop and manage a large-scale recommender system.
• Conduct large-scale experiments to drive product development.

Skills

Deep Learning

Python

Recommender Systems

Machine Learning

Statistics

Education

PhD in Computer Science or related field

Publications in top ML conferences

Tools

TensorFlow

Keras

PyTorch

Job description

Senior Applied Scientist - Recommendations, London

Client: ASOS

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 2151ad485629

Job Views: 13

Posted: 28.04.2025

Expiry Date: 12.06.2025

Job Description

We are looking for a Senior Applied Scientist, with expertise in deep learning, to join our cross-functional Search and Recommendation team. This team plays a key role in providing the best shopping experience by surfacing the right products to customers at the right time, handling up to 8000 requests per second at peak in production. The team is responsible for the end-to-end system, ensuring high performance at ASOS's scale.

The Applied Science domain develops algorithms that power ASOS's digital ecosystem, including recommender systems and forecasting models that influence operational decisions. The team maintains, builds, and innovates in advanced machine learning, training models on unique datasets such as transactions and clickstream data.

What you’ll be doing

• Building and managing a large-scale recommender system within an agile, cross-functional team, working with vast data and deploying deep learning models into production.
• Implementing and scaling algorithms to impact the business, conducting large-scale experiments to test hypotheses and drive product development.
• Staying updated with state-of-the-art research, participating in reading groups, and publishing novel prototypes at top conferences.
• Developing and improving code and technology, contributing to new features for millions of global customers.
• Mentoring and coaching junior team members to support their technical growth.
• Participating in Tech Develops days, hackathons, and sharing knowledge to advance science and engineering.
• Promoting a culture of Diversity, Equity & Inclusion.

About You

• Experienced Applied Scientist with practical experience in recommender systems or using deep learning to solve complex problems.
• Some knowledge or experience in retail, marketing, or e-commerce is preferred. Comfortable working with cross-functional teams including non-technical stakeholders.
• Proficient in Python and familiar with deep learning frameworks like TensorFlow/Keras or PyTorch.
• Solid understanding of software development lifecycle, ML, and statistics.
• Ability to provide technical leadership, mentoring, and coaching.
• Publications in top ML conferences or journals (e.g., NeurIPS, ICLR, ICML) are a plus and demonstrate a commitment to staying current with advancements.

Additional Information

Benefits

• Employee discount (ASOS discount!)
• Personal development opportunities (ASOS Develops)
• Employee sample sales
• Access to LinkedIn Learning
• 25 days paid leave + a celebration day
• Discretionary bonus scheme
• Private medical care
• Flexible benefits allowance

Discover what life at ASOS is like by searching #InsideASOS on social media. Learn about our tech initiatives via the ASOS Tech Podcast and our ASOS Tech Blog.