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- Tasks: Build and enhance monitoring infrastructure and automation tools for data insights.
- Company: Leading data insights firm in Stretford with a collaborative environment.
- Benefits: Generous benefits, hybrid work model, and flexibility for remote work.
- Why this job: Make a real impact by leading projects from concept to deployment.
- Qualifications: Proficiency in Python and SQL, familiarity with AWS, and strong problem-solving skills.
- Other info: Opportunity to collaborate across teams and ensure data quality and efficiency.
The predicted salary is between 30000 - 50000 £ per year.
A leading data insights firm in Stretford is seeking a Data Scientist to build and enhance monitoring infrastructure and automation tools. This pivotal role requires proficiency in Python and SQL, familiarity with AWS, and strong problem-solving skills. The successful candidate will collaborate across teams, leading projects from concept to deployment, ensuring data quality and efficiency. The position offers generous benefits and a hybrid work model, with 2 days in the office and flexibility for remote work.
Data Scientist, Data Monitoring & Automation in Stretford employer: RealityMine
Contact Detail:
RealityMine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Data Monitoring & Automation in Stretford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the firm on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is a great way to demonstrate your problem-solving abilities and technical know-how to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on AWS and data monitoring concepts. We want to be ready to discuss how we can enhance their infrastructure and tools during the chat!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Data Scientist, Data Monitoring & Automation in Stretford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how you can use these skills to build and enhance monitoring infrastructure and automation tools.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role. Mention any relevant projects where you've led initiatives from concept to deployment, as that’s what we’re looking for.
Problem-Solving Examples: We love a good problem-solver! Include specific examples of challenges you've faced and how you tackled them. This will show us your analytical thinking and ability to ensure data quality and efficiency.
Apply Through Our Website: We encourage you to apply 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!
How to prepare for a job interview at RealityMine
✨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 used these languages, and think about how you can apply them to build monitoring infrastructure and automation tools.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you tackled them. This is crucial for a Data Scientist role, so think about how you can demonstrate your analytical thinking and creativity in solving data-related issues.
✨Familiarise Yourself with AWS
Since familiarity with AWS is a requirement, take some time to understand its services relevant to data monitoring and automation. Being able to discuss how you've used AWS in past projects will show that you're ready to hit the ground running.
✨Emphasise Collaboration
This role involves working across teams, so be prepared to talk about your experience collaborating with others. Share specific instances where you led projects from concept to deployment, highlighting your communication skills and ability to work well in a team.
