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BRAND NEW DATA SCIENTIST OPPORTUNITY IN MANCHESTER - HYBRID WORKING
- Salary up to £70,000 p/a plus bonus & excellent benefits
- Shape the future of monitoring & alerting infrastructure for a global data insights provider
- We're looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systems
- Hybrid 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 performance
- Life assurance and employer pension contributions
- Choice of tech setup to suit your working style
- Learning & development budget + 1:1 coaching
- Cycle-to-work scheme & free parking
- Hybrid 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 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
TO BE CONSIDERED:Please either apply by clicking online or emailing . For further information please contact via / . 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 / Manchester / Hybrid Working
