Data Scientist

Full Job Description

Role Title: Data Scientist
Duration: 6 Months
Location: Sheffield (Hybrid 2 days a week in the office)
Rate 580- Umbrella only

Would you like to join a global leader in consulting, technology services and digital transformation?

Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms.

Role purpose / summary

• Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making 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.
• Predictive Modelling: 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 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, analyse, and visualise 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, data modelling, and ServiceNow.
• Problem Management: Utilise knowledge of ITIL service management principles to align data science initiatives with service management goals and objectives.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!