At a Glance
- Tasks: Drive innovations in product catalogue decision-making using Python and SQL.
- Company: Join OnBuy, a dynamic UK-based tech company focused on innovation.
- Benefits: Enjoy a competitive salary, equity, 25 days leave, and remote work options.
- Other info: Be part of a team dedicated to transforming the customer experience.
- Why this job: Make a real impact on data quality and discoverability in a fast-paced environment.
- Qualifications: Experience in applied machine learning and managing complex data systems.
OnBuy is looking for a Senior Applied ML Engineer to drive innovations in product catalogue decision-making. This role focuses on enhancing data quality and discoverability while utilizing Python and SQL to manage complex data systems.
Based in the UK, the position offers a salary of £65,000 to £75,000, alongside equity and various benefits including 25 days of annual leave and the option for remote work. Join our dynamic team and contribute to our mission of making OnBuy the innovative choice for every customer.
Senior ML Engineer for Catalogue Intelligence (Remote) employer: NLP PEOPLE
OnBuy is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior ML Engineer to thrive. With competitive salaries, equity options, and generous benefits such as 25 days of annual leave, employees enjoy a healthy work-life balance while working remotely from anywhere in the UK. The company prioritises professional growth, providing opportunities to enhance skills and contribute meaningfully to the evolution of product catalogue decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer for Catalogue Intelligence (Remote)
✨Get Involved in Data Science Meetups
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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 Senior ML Engineer for Catalogue Intelligence (Remote) at NLP PEOPLE.
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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 NLP PEOPLE.
✨Apply Directly through Our Website
When you find a suitable opening like Senior ML Engineer for Catalogue Intelligence (Remote) at NLP PEOPLE, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior ML Engineer for Catalogue Intelligence (Remote)
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 NLP PEOPLE, 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 NLP PEOPLE. 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 NLP PEOPLE
✨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 NLP PEOPLE!
✨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.
