4 of 4 Remote/Hybrid Predictive Analytics Jobs in Manchester

team in its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. The role is very hands ...

data products and solutions Establish proportionate governance covering data quality, security, access and GDPR Structure the data estate to enable future automation, AI and predictive analytics Lay the foundations for a future data team, including its standards, structure and ways of working About you You may currently … multi-entity group or another regulated environment would be particularly valuable. Exposure to Purview, third-party technology partners, automation, AI/ML or advanced analytics would also be advantageous. Why consider this opportunity? Few roles offer this combination of technical ownership, strategic access and greenfield scope. You will become ...

evaluating product changes and identifying new opportunities for improvement. As a leader in your team, be accountable for its success, champion the use of analytics and support other Data Analysts Plan and prioritise the analytical components of projects and ensure clear communication with Analytics leadership and adjacent teams … experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used for tracking and analysing user behaviour, such as Google Analytics ...

traces and telemetry. Establish operational insight models that support proactive decision-making and enable advanced capabilities including anomaly detection, event intelligence, noise reduction and predictive operational analytics.• AI Operations & Service Reliability: Apply reliability engineering principles to AI-enabled services, monitoring AI-specific failure modes such as data quality degradation … engineering. • Strong understanding of AI governance, responsible AI, regulatory requirements and model risk management. • Experience implementing observability strategies using modern monitoring, telemetry and operational analytics platforms. • Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. • Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. ...