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- Tasks: Design and deploy monitoring systems to ensure data health and quality.
- Company: Leading market-research company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on data-driven decision-making.
- Qualifications: Proficiency in Python and SQL, with knowledge of AWS infrastructure.
- Other info: Perfect for those passionate about improving analytical outputs in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading market-research company in the UK seeks a Data Scientist to design and deploy monitoring systems for data health. The role involves collaborating on key metrics, maintaining machine learning models in production, and integrating automation tools.
Successful candidates will have strong proficiency in Python and SQL, an understanding of AWS infrastructure, and a methodical approach to problem-solving. Ideal for those eager to innovate and improve analytical outputs within a data-driven environment.
Data Scientist: Data Quality & Monitoring (AWS) in Manchester employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Data Quality & Monitoring (AWS) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the data science field, especially those who have worked with AWS. A friendly chat can give us insider info on the company culture and what they really value in candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python and SQL projects. We want to see how you’ve tackled real-world problems, especially those related to data quality and monitoring. This will set you apart from the crowd!
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, particularly around machine learning models and AWS. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out on your dream job!
We think you need these skills to ace Data Scientist: Data Quality & Monitoring (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, 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 excited about the Data Scientist position and how you can contribute to our mission of improving data health. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data issues in the past. We love candidates who can think methodically and come up with innovative solutions, so let us see your thought process!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Data Inside Out
Make sure you’re well-versed in the data quality metrics relevant to the role. Brush up on your experience with monitoring systems and be ready to discuss how you've maintained machine learning models in production. This will show your potential employer that you understand the importance of data health.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks beforehand. Being able to showcase your coding skills will set you apart from other candidates.
✨Familiarise Yourself with AWS
Since the role involves AWS infrastructure, make sure you have a solid understanding of its services and how they relate to data monitoring. Be prepared to discuss any previous experience you have with AWS tools and how you’ve used them to improve data processes.
✨Emphasise Your Problem-Solving Approach
The job requires a methodical approach to problem-solving, so think of examples from your past work where you tackled complex data issues. Be ready to explain your thought process and the steps you took to arrive at a solution. This will highlight your analytical mindset and innovative spirit.
