At a Glance
- Tasks: Design and develop machine learning models to enhance marketing strategies and customer experiences.
- Company: Join ASOS, a leading fashion retailer with a focus on innovation and customer satisfaction.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and personalised learning opportunities.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact in marketing through data-driven insights and cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for marketing-focused data science.
The predicted salary is between 60000 - 80000 £ per year.
ASOS is seeking an Applied Scientist to join a Customer & Marketing focused machine learning team. In this role you will design, develop, and deploy models that inform marketing strategy and customer experience, working with large-scale customer and behavioural datasets. You will partner with engineers, product managers, and stakeholders to embed your solutions in production workflows and contribute to a data-driven experimentation culture.
Responsibilities
- Design and develop machine learning and statistical models that drive marketing and customer decision making.
- Lead causal projects such as attribution, incrementality, and marketing effectiveness.
- Build and run experiments to evaluate models and inform product and business strategy.
- Collaborate with engineers to deploy models into scalable, production environments.
- Translate complex analytical outputs into clear, actionable insights for stakeholders.
- Contribute to shared codebases, experimentation frameworks, and best practices.
- Stay current with the latest developments in applied ML and statistics, and bring relevant ideas into the team.
Qualifications
- 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 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.
- Interest in research and innovation; publications or conference contributions are welcome but not required.
Benefits
- Employee discount.
- Employee sample sales.
- 25 days paid annual leave plus an extra celebration day for a special moment.
- Private medical care scheme.
- Fixed annual payment in addition to your salary each year.
- Opportunity for personalised learning and in‑the‑moment experiences that enable you to thrive and excel in your role.
Applied Scientist employer: We're Asos
ASOS is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Applied Scientist role. With a strong emphasis on collaboration and personal growth, employees benefit from tailored learning opportunities, generous annual leave, and a supportive environment that encourages experimentation and creativity in marketing-focused data science. Located in a vibrant setting, ASOS not only offers competitive benefits like private medical care and employee discounts but also promotes a culture of inclusivity and continuous improvement, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist
✨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 We're Asos!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied Scientist at We're Asos.
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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 We're Asos.
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We think you need these skills to ace Applied Scientist
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 We're 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 We're 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 We're 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 We're 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.
