Digital & AI Excellence Awards
AI & Data Science Apprentice of the Year
Award Criteria
This award is for the Level 7 AI and Data Science Apprentice who is trailblazing data science, machine learning and AI in their organisation. Strong contenders will be making a material impact on the advanced data capabilities of their employer and championing data and AI across their team and the organisation.
Who can be nominated for this award?
Nominated individuals must be apprentices who are currently undertaking the L7 AI & Data Science apprenticeship with Cambridge Spark or completed the above apprenticeship in the past 12 months (at the time of submitting the nomination) and who have contributed to the development of impactful and innovative data solutions within their team and organisation.
Nominations now closed
This award will be judged against the following criteria:
The nomination summary should explain in up to 500 words (maximum) how the nominated individuals meet the below criteria, including quantifiable metrics where possible, and why they believe they should win the award.
- Professionalism - tell us how the apprentice has consistently met or exceeded their objectives and shown a quality approach in both their work and learning, demonstrating professional values and best practices.
- Demonstrated impact and Measurable success - tell us how the apprentice has delivered at least one qualifiable benefit to their organisation in the past 12 months. Examples of possible measures of impact: reduced processing time for critical business operation through data analysis and automations, increased customer satisfaction through data-driven insights and faster machine learning training, improved lead generation efficiency through data analysis methods
- Innovation - tell us how the apprentice has used innovative approaches at work.
- Role Model - tell us what actions the apprentice has taken that stand out and positively influenced those they are working with? The apprentice has gone above and beyond to be a role model for their profession and digital apprenticeships.