At a Glance
- Tasks: Drive data-driven products from design to deployment using cutting-edge technologies.
- Company: Join Autotrader, a leader in digital retail, based in Manchester.
- Benefits: Collaborative environment with a focus on innovation and personal development.
- Other info: Opportunities for growth in a dynamic and supportive team.
- Why this job: Make an impact in digital retail while working with advanced data science tools.
- Qualifications: Relevant degree and experience in data analysis with Python or R.
The predicted salary is between 40000 - 50000 £ per year.
Autotrader in Manchester is seeking Data Scientists of various experience levels to join the Data Science & Analytics team. The role involves working with technologies such as Databricks, AWS, and Google Cloud to drive data-driven products from design to deployment.
Applicants should have a relevant degree and experience in data analysis with programming languages like Python or R. The position offers a collaborative environment focused on innovation and personal development.
Data Scientist: ML & Personalization for Digital Retail in Manchester employer: Autotrader
Autotrader is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that prioritises collaboration and innovation. Employees benefit from continuous personal development opportunities and the chance to work with cutting-edge technologies like Databricks and AWS, making it an ideal place for those looking to advance their careers in data science within the digital retail sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: ML & Personalization for Digital Retail in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Autotrader on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those using Python or R. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges. We can find plenty of resources online to help us ace those tests.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Data Scientist: ML & Personalization for Digital Retail in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data analysis and programming languages like Python or R. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position at Autotrader and how your background makes you a great fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool data-driven projects, make sure to mention them in your application. We love seeing practical examples of your work, especially if they involve technologies like Databricks or cloud platforms!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Autotrader
✨Know Your Tech Stack
Familiarise yourself with Databricks, AWS, and Google Cloud. Be ready to discuss how you've used these technologies in your previous projects or how you would approach using them in this role.
✨Showcase Your Programming Skills
Prepare to demonstrate your proficiency in Python or R. You might be asked to solve a coding problem or explain your thought process behind a data analysis project you've worked on.
✨Emphasise Collaboration
Since the role is in a collaborative environment, think of examples where you've successfully worked in a team. Highlight how you contributed to group projects and how you handle feedback.
✨Focus on Innovation
Be ready to discuss any innovative solutions you've implemented in your past roles. Autotrader values creativity, so think about how you can bring fresh ideas to their data-driven products.
