Data Scientist

Searchworks; Manchester; On-site; GBP 45,000 - 65,000; Full time

Job summary

A market-research company in Manchester is seeking a Data Scientist to design and deploy monitoring systems for data health. The role involves building and maintaining machine learning models, collaborating on key metrics, and promoting data quality best practices. Candidates should have strong skills in Python and SQL, as well as experience with cloud infrastructure, preferably AWS. The company offers opportunities for growth in a rapidly expanding environment.

Qualifications

• Experience in building monitoring or data quality frameworks is highly desirable.
• Able to define and deliver complex solutions independently.
• Comfortable working closely with non-technical stakeholders.

Responsibilities

• Design and implement monitoring and alerting systems.
• Collaborate to define metrics, thresholds, and KPIs.
• Build and productionise machine learning models using Python and PySpark.
• Integrate LLM tooling into automation pipelines.
• Investigate and troubleshoot data pipeline anomalies.
• Promote data quality best practices.

Skills

Proficiency in Python

Proficiency in SQL

Comfortable deploying statistical or ML models

Strong understanding of cloud infrastructure

Methodical problem-solving mindset

Ability to work with non-technical stakeholders

Self-motivated and accountable

Tools

AWS

Python

PySpark

Job description

Our client is an industry leading market-research company who use data-driven insights to provide unique and actionable data for some of the world's most recognised brands. Over the last 12 months they've experienced a period of rapid growth and they are positioned to continue this growth for the foreseeable future so it's an ideal time to join the team.

They need a strong Data Scientist to design, develop and deploy systems to monitor data health.

Key Responsibilities:

• Design and implement monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes.
• Collaborate with teams to define relevant metrics, thresholds, and KPIs.
• Build, maintain, and productionise machine learning and statistical models using Python and PySpark.
• Design and implement automation tools which can help dynamically adapt our products to external changes
• Integrate LLM tooling into pipelines to aid with automation
• Deploy monitoring tools and models using AWS infrastructure.
• Investigate and troubleshoot anomalies in the data pipeline.
• Promote data quality and monitoring best practices across the business.
• Contribute to a culture of curiosity, rigour, and innovation.
• Apply automation and AI-assisted tools where appropriate to improve delivery efficiency and the quality of analytical outputs.

Skills Needed:

• Proficiency in Python and SQL for analysis, model development, and data interrogation.
• Comfortable deploying statistical or ML models into production environments.
• Strong understanding of cloud infrastructure, preferably AWS.
• A methodical, problem-solving mindset with high attention to detail.
• Able to scope, define, and deliver complex solutions independently.
• Comfortable working closely with non-technical stakeholders to define business-critical metrics.
• Self-motivated, accountable, and keen to continuously learn and grow.
• Previous experience building monitoring or data quality frameworks is highly desirable.