Sheffield, South Yorkshire, United Kingdom Hybrid / WFH Options
Experis
and strategic planning. Service Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives. Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and … reporting. PredictiveModelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create data visualisations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine … with the service management team to understand their data needs and deliver solutions that meet these needs. Continuous Improvement: Continually improve data analysis and modelling processes, using feedback and performance metrics to identify areas for improvement. Data Governance: Ensure that all data science activities comply with data governance policies more »
Senior Data Scientist - Inside IR35 (3 month contract) - Hybrid Responsibilities Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors. Analyse data using predictive/prescriptive techniques to discover hidden trends and … Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks more »
of Client's Ireland target Data & A.I. Architecture to Azure. Encompassing data ingestion, storage, operational consumption, Datamodelling, data warehousing BI/analytics, advanced analytics & predictive model life cycle management & integration. Collaborates effectively with key stakeholders to ensure alignment with strategy, and engages effectively to ensure data and solutions are … Azure SQL Database o Azure ML and Cognitive Services o OpenShift o PowerBI * Practical hands on experience designing and developing MLOps automation capability, and predictive model integration and life cycle management. * Networking, gateway & security infrastructure for on-premise integration and hybrid cloud * Knowledge of analytical programming languages and environments more »
