At a Glance
- Tasks: Own the lifecycle of ML models for vehicle valuation and pricing.
- Company: Brego, a forward-thinking tech company focused on innovation.
- Benefits: Flexible hours, remote work, and opportunities for professional growth.
- Other info: Join a dynamic team and take ownership of your projects.
- Why this job: Make an impact in the exciting field of machine learning and vehicle pricing.
- Qualifications: Strong Python skills and experience with PyTorch or TensorFlow required.
The predicted salary is between 70000 - 90000 £ per year.
Brego is hiring for a remote ML engineer in the UK to own the end-to-end lifecycle of production ML models for vehicle valuation and pricing.
You will design, train and deploy neural networks, monitor performance, and drive improvements with cross-functional teams.
The role emphasizes independent ownership, strong Python data science skills, and experience with Py Torch or Tensor Flow, SQL, and cloud deployment.
Flexible hours and an emphasis on ownership are offered. #J-18808-Ljbffr
Remote Lead Data Scientist - ML in Production & Valuation employer: Brego
Brego is an exceptional employer, offering a fully remote Lead Data Scientist role that combines competitive salary and benefits with a collaborative, low-bureaucracy culture. Employees enjoy high levels of ownership and autonomy, along with opportunities for learning and progression, making it an ideal environment for those looking to make a meaningful impact in the automotive technology sector. With flexible working hours and optional access to the Silverstone office, Brego fosters a work-life balance that supports both personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Lead Data Scientist - ML in Production & Valuation
✨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 Brego!
✨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 Remote Lead Data Scientist - ML in Production & Valuation at Brego.
✨Leverage Professional Networks
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 Brego.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Lead Data Scientist - ML in Production & Valuation at Brego, 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 Remote Lead Data Scientist - ML in Production & Valuation
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 Brego, 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 Brego. 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 Brego
✨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 Brego!
✨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.
