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ASOS • London, United Kingdom

Applied Scientist

Employment type:  Full time
8.4

/10

Transparency ranking
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Job Description

Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

Everyone needs some help showing up as their best self. We're Disability Confident Committed - Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

Job Description

We’re looking for an Applied Scientist to join a collaborative Customer and Marketing‑focused machine learning product team.

In this role, you’ll work on real‑world, data‑driven problems that improve customer experience and support marketing decision‑making. You’ll collaborate with engineers, product managers, and stakeholders to design, test, and deploy machine learning solutions that deliver measurable value.

You’ll be part of a function that designs and maintains algorithms across customer‑facing and operational domains, with a particular focus on marketing‑focused data science and machine learning techniques. The team works with rich data sets and applies models at scale while balancing experimentation, responsible decision‑making, and production quality.

What you'll be doing

  • Collaborating within a cross‑functional team to design, build, and deploy machine learning solutions
  • Contributing to marketing‑focused data science initiatives (e.g. attribution, incrementality, causal inference, MMM)
  • Supporting the development and scaling of models that drive business outcomes
  • Designing and running experiments to evaluate models and inform product decisions
  • Keeping up to date with developments in the field through research, reading groups, and prototyping
  • Contributing to improvements in code quality, infrastructure, and feature development
  • Sharing knowledge through team discussions, learning sessions, and technical events
  • Actively supporting an inclusive, respectful, and collaborative team culture

Qualifications

About You

We’re keen to hear from Applied Scientists or Data Scientists who are curious, thoughtful about their work, and enjoy collaborating with others.
You don’t need to meet every requirement below to apply if the role sounds interesting and aligns with your experience or career goals, we’d encourage you to apply.

  • Experience applying machine learning or statistical methods in a practical or production‑adjacent setting
  • An interest in marketing‑focused data science or machine learning problems (e.g. causal inference, incrementality, MMM)
  • Experience or interest in areas such as causal inference, Bayesian methods, or experimentation
  • Proficiency in at least one programming language commonly used in machine learning, and familiarity with relevant frameworks
  • A solid understanding of statistical concepts and software development best practices
  • Ability to manage your work, collaborate with others, and deliver models or prototypes aligned with business needs
  • Comfortable working with both technical and non‑technical stakeholders
  • An interest in research and innovation; publications or conference contributions are welcome but not required

Additional Information

BeneFITS’

  • Employee discount (hello ASOS discount!)
  • Employee sample sales
  • 25 days paid annual leave + an extra celebration day for a special moment
  • Private medical care scheme
  • Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
  • Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.

Company benefits

25 days annual leave + bank holidays
401K
Accrued annual leave – Max 5 days to carry over
Adoption leave – 26 weeks enhanced pay
Annual bonus
Annual pay rises
Bike parking
Birthday off
Buy or sell annual leave
Cinema discounts
Coffee discounts
Company freebies
Compassionate leave
Critical Illness Insurance
Dental coverage
Early finish Fridays
Emergency leave
Employee assistance programme
Employee discounts
Enhanced maternity leave – 26 weeks enhanced pay
Enhanced paternity leave – 8 weeks enhanced pay
Enhanced pension match/contribution
Enhanced sick days
Enhanced sick pay
Eye Care Support
Faith rooms
Family health insurance
Fertility benefits
Financial coaching
Further education support
Gym membership
Hackathons
Health insurance
Hertility subscription
In house training
On-site catering
On-site massages
On-site workout classes
On-site yoga classes
Learning platform
Life assurance
Mental health first aiders
Mental health platform access – Access to EAP (Unum)
Mentoring
Neo-natal leave – 16 weeks leave
On-site gym
On-site wellness room
Open to compressed hours
Open to part time work for some roles
Open to part-time employees
Personal development days
Pregnancy loss leave – 10 days paid leave
Private GP service
Professional subscriptions
Referral bonus
Religious celebration leave
Restaurant discounts
Sabbaticals
Salary sacrifice
Shared parental leave – 26 weeks enhanced pay
Skilled worker visas
Study support
Teambuilding days
Time off in-lieu
Travel loan
Volunteer days
Summer hours

Working at ASOS

Company employees:

3,000

Gender diversity (m:f):

35:65

Hiring in countries

Türkiye

United Kingdom

Office Locations

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