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- Tasks: Design and implement monitoring systems for data health using Python and SQL.
- Company: Leading market-research company based in Manchester with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a rapidly growing team and make a real impact on data quality.
- Qualifications: Proficient in Python, SQL, and cloud infrastructure, preferably AWS.
- Other info: Exciting opportunity in a dynamic environment committed to continuous innovation.
The predicted salary is between 36000 - 60000 £ per year.
An industry leading market-research company based in Manchester is seeking a strong Data Scientist to design, develop, and implement monitoring systems for data health. The ideal candidate will be proficient in Python and SQL, with experience in deploying models in production environments and a solid understanding of cloud infrastructure, preferably AWS. This is an exciting opportunity to join a rapidly growing team committed to data quality and continuous innovation.
Data Scientist: Data Quality & ML Monitoring on AWS in Manchester employer: SearchWorks
Contact Detail:
SearchWorks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Data Quality & ML Monitoring on AWS in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and might even get your name in front of the hiring manager.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your expertise in Python, SQL, and AWS. This hands-on demonstration can really set us apart from other candidates.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on common data science problems and algorithms. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have insider tips and updates on new roles that might not be advertised elsewhere.
We think you need these skills to ace Data Scientist: Data Quality & ML Monitoring on AWS in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS. We want to see how your skills align with the role of Data Scientist, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data quality and how you can contribute to our team. We love seeing enthusiasm and a bit of personality in your application.
Showcase Your Projects: If you've worked on any monitoring systems or deployed models in production, make sure to mention them! We’re keen to see real-world examples of your work that demonstrate your expertise and problem-solving skills.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at SearchWorks
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've deployed models in production, especially in AWS environments. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled data quality issues in the past. Think of examples where you designed monitoring systems or improved data health. This will demonstrate your proactive approach and commitment to continuous innovation.
✨Understand the Company’s Mission
Research the market-research company and its focus on data quality. Familiarise yourself with their recent projects or innovations. This knowledge will help you align your answers with their goals and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare a few thoughtful questions about their current data monitoring systems or challenges they face. This not only shows your enthusiasm for the role but also gives you a chance to assess if the company is the right fit for you.
