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- Tasks: Join a team to develop and deploy innovative machine learning solutions for enhancing customer experience.
- Company: ASOS, a global fashion retailer committed to inclusivity and creativity.
- Benefits: Enjoy employee discounts, sample sales, 25 days leave, and private medical care.
- Why this job: Make a real impact on customer experience while working with cutting-edge technology.
- Qualifications: Experience in machine learning, programming skills, and strong collaboration abilities.
- Other info: Dynamic environment with a focus on diversity, equity, and inclusion.
The predicted salary is between 28800 - 48000 £ per year.
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.
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.
- Demonstrated experience applying machine learning in production environments.
- Depending on the team's 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.
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.
Applied Scientist (Marketing & Customer) in London employer: ASOS
Contact Detail:
ASOS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist (Marketing & Customer) in London
✨Tip Number 1
Network like a pro! Reach out to current ASOS employees on LinkedIn, join relevant groups, and attend industry events. Building connections can give us the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for those interviews! Research ASOS's latest projects and think about how your skills in machine learning can contribute. We want to see you shine, so practice common interview questions and have your own ready to ask.
✨Tip Number 3
Show off your projects! If you've worked on any cool machine learning models or experiments, make sure to highlight them in your discussions. We love seeing real-world applications of your skills!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the ASOS family.
We think you need these skills to ace Applied Scientist (Marketing & Customer) in London
Some tips for your application 🫡
Show Your True Self: When writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to express your creativity and passion for machine learning. Remember, we value authenticity just as much as skills.
Tailor Your Application: Make sure to customise your application to highlight your relevant experience in machine learning and how it aligns with our goals at ASOS. Use specific examples that demonstrate your impact in previous roles – we love a good story!
Keep It Clear and Concise: While we appreciate detail, clarity is key! Make your application easy to read by using clear language and structured formatting. This helps us quickly grasp your qualifications and understand how you can contribute to our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super straightforward – just follow the prompts!
How to prepare for a job interview at ASOS
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially in production environments. ASOS is looking for someone who can demonstrate their expertise, so prepare examples that showcase your skills.
✨Show Off Your Collaboration Skills
Since this role involves working within a cross-functional team, be prepared to talk about your experiences collaborating with both technical and non-technical colleagues. Highlight specific projects where teamwork led to successful outcomes, as this will show ASOS that you can thrive in their inclusive culture.
✨Experimentation is Key
ASOS values innovation, so come ready to discuss any experiments you've designed or conducted to validate models. Share insights on how these experiments informed product direction and led to measurable business impact. This will demonstrate your proactive approach to problem-solving.
✨Stay Current and Curious
Show your passion for the field by discussing recent developments in machine learning that excite you. Mention any research, reading groups, or technical events you've participated in. This will reflect your commitment to continuous learning and innovation, which aligns perfectly with ASOS's values.