Data Scientist

DATA SCIENTIST OPPORTUNITY IN MANCHESTER – HYBRID WORKING Salary up to £70,000 p/a plus bonus & excellent benefitsShape the future of monitoring & alerting infrastructure for a global data insights providerWe’re looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systemsHybrid working – 2-3 days in the office ABOUT THE CLIENT: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. A GLIMPSE AT THE BENEFITS / CULTURE:25 days’ annual leave + bank holidays (option to buy/sell after 2 years)Bonus scheme recognising high performanceLife assurance and employer pension contributionsChoice of tech setup to suit your working styleLearning & development budget + 1:1 coachingCycle-to-work scheme & free parkingHybrid working model with flexible start/finish times£100 annual home office allowance DATA SCIENTIST ROLE: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. KEY SKILLS / EXPERIENCE:Proficient in Python & SQL for analysis, modelling, and interrogationExperience with large datasets and distributed data processing (PySpark)Skilled in deploying ML/statistical models into productionKnowledge of AWS cloud infrastructureStrong analytical, problem-solving, and troubleshooting skillsAbility to work with technical and non-technical stakeholdersPrevious experience in monitoring/data quality frameworks highly desirable TO BE CONSIDERED:Please either apply by clicking online or emailing chelsea.hackett@. 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. KEY SKILLS:Data Scientist / Python / PySpark / AWS / SQL / Monitoring & Alerting / Data Quality / Machine Learning / Statistical Modelling

Created: 2025-08-24