Data Scientist

Our client is a pioneering force in the media and market research sector, delivering innovative data solutions to some of the most recognisable brands worldwide. Their mission is to provide actionable insights that empower strategic decision-making and transform business performance.

With over a decade of industry leadership, they’re now investing heavily in their monitoring and alerting capabilities and they need a talented Data Scientist to take ownership of this critical function, designing scalable systems that safeguard the reliability and integrity of their data.

In this hands-on role, you’ll design, build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You’ll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units. You’ll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into AWS-based environments, and embedding best practices in data quality and monitoring.

• Design, build, and deploy monitoring and alerting systems to ensure data accuracy and reliability across core datasets.
• Collaborate with multiple teams to define metrics, thresholds, and data quality metrics.
• Productionise ML/statistical models and create scalable frameworks across products and business units.
• Deploy solutions into AWS-based environments and embed data quality and monitoring best practices.

• Proficient in Python & SQL for analysis, modelling, and interrogation
• Experience with large datasets and distributed data processing (PySpark)
• Skilled in deploying ML/statistical models into production
• Knowledge of AWS cloud infrastructure
• Strong analytical, problem-solving, and troubleshooting skills
• Ability to work with technical and non-technical stakeholders
• Previous experience in monitoring/data quality frameworks highly desirable

• Salary up to £70,000 p/a plus bonus & excellent benefits
• 25 days’ annual leave + bank holidays (option to buy/sell after 2 years)
• Bonus scheme recognising high performance
• Life assurance and employer pension contributions
• Choice of tech setup to suit your working style
• Learning & development budget + 1:1 coaching
• Hybrid working – 2-3 days in the office
• £100 annual home office allowance

Please either apply by clicking online or emailing . By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Science
• Industries: Technology, Information and Media