At a Glance
- Tasks: Design and deploy machine learning models to enhance customer experiences at ASOS.
- Company: Join ASOS, a leading fashion retailer known for innovation and creativity.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with a diverse team of experts in a fast-paced, exciting industry.
- Why this job: Make a real impact by translating research into practical solutions in a dynamic environment.
- Qualifications: Experience with Python, ML frameworks, and handling large datasets is essential.
The predicted salary is between 63000 - 77000 £ per year.
ASOS is seeking an Applied Scientist to design, develop and deploy machine learning models that power decisions and customer experiences at scale.
You’ll work with data engineers, ML engineers, analysts and product managers to translate research into production systems.
The role requires hands-on experience with Python and ML frameworks (Py Torch, Tensor Flow), large datasets, distributed processing, and modern software engineering practices.
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Applied Scientist: Scale ML in Production & Drive Impact in England employer: ASOS
ASOS, the parent company of TOPSHOP and TOPMAN, is an exceptional employer that fosters a vibrant and inclusive work culture in the heart of London. With a strong commitment to employee growth, you will benefit from personalised learning opportunities and a supportive environment that encourages creativity and innovation. Enjoy competitive benefits such as generous annual leave, private medical care, and exclusive employee discounts, all while being part of a dynamic team dedicated to shaping the future of fashion.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist: Scale ML in Production & Drive Impact in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ASOS!
✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ASOS.
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We think you need these skills to ace Applied Scientist: Scale ML in Production & Drive Impact in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ASOS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ASOS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at ASOS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ASOS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
