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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
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