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- Tasks: Collaborate to validate data, deploy ML pipelines, and enhance software applications.
- Company: Leading engineering services provider in the UK with an empowering culture.
- Benefits: Entry-level position with opportunities for innovation and growth.
- Why this job: Make a real impact by contributing to cutting-edge data science solutions.
- Qualifications: Experience in data science methods and statistical analysis.
- Other info: Temporary role with a chance to work in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading engineering services provider in the United Kingdom is seeking a Data Science Engineer. The role involves collaboration with teams to validate and interpret data, deploy machine learning pipelines, and enhance customer software applications.
Ideal candidates will have experience in data science methods and statistical analysis. This entry-level, temporary position offers a chance to contribute to innovative solutions within an empowering workplace culture.
Data Science Engineer: Build ML Pipelines & Insights in England employer: Quest Global
Contact Detail:
Quest Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Engineer: Build ML Pipelines & Insights in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can learn so much from their experiences and maybe even get a foot in the door for that Data Science Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning pipelines. This will give us a tangible way to demonstrate our abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We should practice explaining our thought process clearly, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Science Engineer: Build ML Pipelines & Insights in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science methods and statistical analysis. We want to see how your skills align with the role of a Data Science Engineer, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our innovative solutions. We love seeing your personality come through, so keep it engaging!
Showcase Your Technical Skills: Since this role involves deploying machine learning pipelines, make sure to mention any relevant tools or technologies you’ve worked with. We’re keen to know how you can enhance our customer software applications!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Quest Global
✨Know Your Data Science Basics
Brush up on your data science methods and statistical analysis skills. Be ready to discuss how you've applied these concepts in past projects or coursework, as this will show your understanding of the fundamentals.
✨Showcase Your ML Pipeline Experience
If you've worked on machine learning pipelines before, be prepared to explain your process. Discuss the tools you used, the challenges you faced, and how you overcame them. This will demonstrate your practical knowledge and problem-solving abilities.
✨Collaborate Like a Pro
Since the role involves teamwork, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you contributed to group projects, as this will reflect your ability to work well in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data science and their current projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
