We are seeking an Applied 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. The team builds machine learning models at scale drawing on rich data sources to drive meaningful outcomes.
Key Responsibilities
- Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
- Lead the implementation and scaling of algorithms with measurable business impact.
- Design and conduct experiments to validate models and inform product direction.
- Stay current with developments in the field through research reading groups and prototype testing.
- Contribute to ongoing improvements in code quality infrastructure and feature development.
- Participate in learning opportunities knowledge-sharing sessions and technical events.
- Promote diversity equity and inclusion in both team culture and work practices.
Qualifications :
About You
- Demonstrated experience applying machine learning in production environments.
- Depending on the teams focus relevant experience could include areas such as causal inference or Bayesian methods.
- Proficiency in programming languages used in machine learning and familiarity with common frameworks.
- Solid grasp of statistical methods and software development best practices.
- Ability to work independently manage timelines and deliver prototypes or models aligned with business needs.
- Strong collaboration skills and comfort working across technical and non-technical roles.
- An interest in research and innovation with any publications in reputable machine learning venues considered a plus.
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 its 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.
Remote Work :
No
Employment Type :
Full-time
We are seeking an Applied 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 busin...
We are seeking an Applied 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. The team builds machine learning models at scale drawing on rich data sources to drive meaningful outcomes.
Key Responsibilities
- Collaborate within a cross-functional team to develop and deploy large-scale machine learning systems.
- Lead the implementation and scaling of algorithms with measurable business impact.
- Design and conduct experiments to validate models and inform product direction.
- Stay current with developments in the field through research reading groups and prototype testing.
- Contribute to ongoing improvements in code quality infrastructure and feature development.
- Participate in learning opportunities knowledge-sharing sessions and technical events.
- Promote diversity equity and inclusion in both team culture and work practices.
Qualifications :
About You
- Demonstrated experience applying machine learning in production environments.
- Depending on the teams focus relevant experience could include areas such as causal inference or Bayesian methods.
- Proficiency in programming languages used in machine learning and familiarity with common frameworks.
- Solid grasp of statistical methods and software development best practices.
- Ability to work independently manage timelines and deliver prototypes or models aligned with business needs.
- Strong collaboration skills and comfort working across technical and non-technical roles.
- An interest in research and innovation with any publications in reputable machine learning venues considered a plus.
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 its 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.
Remote Work :
No
Employment Type :
Full-time
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