We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required a Data Scientist for one of their public sector Clients based in the UK.

Role Title: Data Scientist
Location: Hybrid/Sheffield
Duration: Until 30/11/24
Rate £554 inside of IR35

Role Description:

Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning.
Service Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.
Datamodelling: Develop and implement data models to support the organization's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting.
Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery.
Data Visualization: Create data visualizations and dashboards to communicate complex data insights in a clear and concise manner to stakeholders at all levels.
Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy.
ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service management activities and trends. Leverage expertise in the ServiceNow platform to extract, analyze, and visualize data, providing comprehensive insights into service management activities and trends.
Collaboration: Work closely 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 and regulations, including data privacy and security requirements.
Team Development: Provide training and mentoring to other team members, sharing expertise in data science, service management, Datamodelling, and ServiceNow.
Problem Management: Utilize knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.