Data Scientist, Sheffield, UK

North Yorkshire  ‐ Onsite
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Keywords

Service Management Data Science Servicenow Data Analysis Data Governance Data Visualization Forecasting Information Technology Infrastructure Libraries (ITIL) Machine Learning Predictive Modelling Automation Big Data Business Process Improvement Strategic Management Servicio al Cliente Data Infrastructure Data Mining Data Modeling Performance Management Security Requirements Analysis Service Delivery Stakeholder Management Statistics Modelling Skills Team Building Data Protection Coaching and Mentoring

Description

Role Title: Data Scientist
Location: Hybrid/Sheffield
Duration: Until 30/11/24
MUST BE PAYE THROUGH UMBRELLA
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.

Start date
n.a
Duration
06 months
From
eTeam Inc.
Published at
19.04.2024
Project ID:
2741845
Contract type
Freelance
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