Job Description
We are seeking an Applied Scientist/Data Scientist to join a collaborative machine learning product team focused on delivering innovative solutions that enhance the customer experience. This role offers the opportunity to work on large-scale, real-world problems and contribute to impactful projects across key business areas.
The position is part of a broader Applied Science function that designs and maintains algorithms supporting various operational and customer-facing domains - with a focus on Marketing focused Data Science/Machine Learning techniques. The team builds machine learning models at scale, drawing on rich data sources to drive meaningful outcomes.
Key Responsibilities
1. Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
2. Lead the implementation and scaling of algorithms with measurable business impact.
3. Design and conduct experiments to validate models and inform product direction.
4. Stay current with developments in the field through research, reading groups, and prototype testing.
5. Contribute to ongoing improvements in code quality, infrastructure, and feature development.
6. Participate in learning opportunities, knowledge-sharing sessions, and technical events.
7. Promote diversity, equity, and inclusion in both team culture and work practices.
Qualifications
About You
8. Demonstrated experience applying machine learning in production environments.
9. An interest in working on marketing specific Data Science/Machine Learning projects - Such as MMM, Incrementality/Causal Inference etc.
10. Depending on the team's focus, relevant experience could include areas such as causal inference, or Bayesian methods.
11. Proficiency in programming languages used in machine learning and familiarity with common frameworks.
12. Solid grasp of statistical methods and software development best practices.
13. Ability to work independently, manage timelines, and deliver prototypes or models aligned with business needs.
14. Strong collaboration skills and comfort working across technical and non-technical roles.
15. An interest in research and innovation, with any publications in reputable machine learning venues considered a plus.
Additional Information
BeneFITS’
16. Employee discount (hello ASOS discount!)
17. Employee sample sales
18. 25 days paid annual leave + an extra celebration day for a special moment
19. Private medical care scheme
20. Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
21. Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role.