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- Tasks: Design and build monitoring systems to ensure data quality and system reliability.
- Company: A growing data and analytics company with a collaborative culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Why this job: Shape the future of data monitoring while solving complex problems.
- Qualifications: Proficient in Python, SQL, and experience with large datasets.
- Other info: Join a forward-thinking team and enjoy continuous improvement opportunities.
The predicted salary is between 28800 - 48000 £ per year.
Data Scientist
(Hybrid – Manchester)
A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products.
The successful candidate will be joining a collaborative and forward-thinking team that combines deep technical knowledge with a focus on practical impact. The role is ideal for someone who enjoys autonomy, thrives on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments.
Key Responsibilities:
- Design and build robust monitoring and alerting systems to maintain data health and accuracy
- Define KPIs and thresholds in collaboration with technical and non-technical stakeholders
- Develop and productionise machine learning and statistical models (Python, PySpark)
- Deploy monitoring solutions on AWS infrastructure
- Create scalable frameworks for future monitoring needs
- Investigate anomalies and ensure quick resolution of issues in the data pipeline
- Advocate for data quality best practices across the business
- Provide mentorship and contribute to a culture of continuous improvement
About You:
- Proficient in Python and SQL
- Experience working with large datasets, preferably using PySpark
- Solid understanding of AWS or similar cloud infrastructure
- Methodical, detail-oriented, and comfortable working independently
- Able to translate business needs into technical solutions
- Previous experience building monitoring or data quality systems is a plus
- Curious, collaborative, and self-motivated
For further details and to apply, please send your CV to jon.brass @ Circlerecruitment.com
Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook – Circle Recruitment , Twitter – @Circle_Rec and LinkedIn – Circle Recruitment.
Data Scientist in Manchester employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Python, SQL, or AWS. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and case studies. Mock interviews with friends or mentors can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your proficiency in Python, SQL, and any experience with AWS or PySpark. We want to see how you can contribute to our monitoring and alerting systems!
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 your previous experiences have prepared you for this role. We love seeing candidates who can connect their background to our mission.
Showcase Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex problems. We’re looking for someone who thrives on challenges, so share those stories that demonstrate your analytical thinking and creativity!
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. Let’s get started on this journey together!
How to prepare for a job interview at Circle Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and PySpark skills. Be ready to discuss how you've used these technologies in past projects, especially in building monitoring systems or working with large datasets.
✨Understand the Role's Impact
Familiarise yourself with the importance of monitoring and alerting systems in maintaining data quality. Think about how you can contribute to safeguarding data health and system reliability, and be prepared to share your ideas during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Prepare examples of complex issues you've tackled in the past, particularly those related to data anomalies or pipeline issues, and how you resolved them.
✨Show Your Collaborative Spirit
This role involves working with both technical and non-technical stakeholders. Be ready to discuss how you've successfully collaborated in previous roles, and highlight your ability to translate business needs into technical solutions.
