2 of 2 Data Scientist Jobs in Salford

Data Scientist (Hybrid | Manchester) A forward-thinking data company, known for delivering actionable insights across media and market research, is on the lookout for a Data Scientist. This role is ideal for someone who thrives in autonomy, enjoys working across teams, and wants to play a key part in building scalable, standardised systems that ensure data reliability across multiple products. ?? The Opportunity: Join a product and data-driven company that works with top global brands Lead the development of systems to monitor data integrity, health, and performance Own projects end-to-end from defining the problem to deploying production-ready solutions Hybrid role: Split your time between our Manchester office (Trafford Park) and … remote working, with flexibility built in ?? What You'll Be Doing: Design and implement scalable monitoring and alerting solutions across data pipelines Define critical metrics and thresholds in collaboration with technical and non-technical teams Build and deploy models using Python, PySpark, and AWS services Troubleshoot data anomalies and promote best practices in data quality Contribute to More ❯

each other, are proactive and work together to continually progress whilst striving to provide our customers with exceptional service. Job Description We’re looking for a proactive, business-focused Data Scientist to join our team and help us unlock the full value of our video telematics data. You’ll work closely with product, engineering, and commercial teams to … deliver actionable insights, build predictive models, and support data-driven decision-making across the business. This role is ideal for someone who’s curious, self-directed, and thrives on turning data into real-world impact — not just building the models but making sure they’re used. We would love to welcome you to our office, working hours of … insights and opportunities. Build and deploy predictive models to support driver behaviour analysis, fleet performance, and product optimisation. Collaborate with stakeholders to understand business problems and translate them into Data Science solutions. Take ownership of projects from Idea to Delivery — including data exploration, modelling, validation, and communicating results. Develop dashboards, reports, and visualisations to make insights accessible and More ❯