This award is for a Level 3 Data Citizen Apprentice who has developed data fluency skills enabling them to become more productive, use data in their daily work and make an impact on their organisation. This could range from finding efficiencies for themselves and for colleagues, being able to tell stories with data to help inform data-driven decision-making, to understanding the positive impacts of data for their employer. This award includes those on our standard Data Citizen programme as well as on the specialist Data-Driven Journalism and NHS Data Citizen programmes.
This award will be judged against the following criteria:
- Nominated individuals must be apprentices who are currently undertaking the L3 Data Citizen or L3 Data-Driven Journalism apprenticeship with Cambridge Spark or completed the above apprenticeships 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.
- 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:
- Demonstrated impact with data - tell us about the quantifiable benefits/impact the individual has delivered to their organisation through applying data skills in the past year. Examples of possible measures of impact: Hours of their time saved through automation and efficiencies; Hours of their team’s time saved through automation and efficiencies; Cost reductions through identifying efficiencies; Increased revenue through insight delivered
- Professionalism and Gold Standard - tell us how the individual has demonstrated a quality approach through personal values and working practices to ensure the successful use of data in their organisation. Examples of professionalism and gold standard: Following best practices; Working collaboratively with colleagues; Identifying innovative applications of data to benefit them and their employers.
This award is for the Level 4 Data Analyst Apprentice who has taken key skills taught in the apprenticeship (for instance Python, SQL and Power BI) and applied them to a positive impact in their organisation. Strong nominees will champion data analysis in their organisation and show innovative applications of data to benefit themselves and their team.
This award will be judged against the following criteria:
- Nominated individuals must be apprentices who are currently undertaking the L4 Data Analyst apprenticeship with Cambridge Spark or have 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.
- 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:
- Demonstrated impact with data - tell us about the quantifiable benefits/impact the individual has delivered to their organisation through applying data skills in the past year. Examples of possible measures of impact: Hours of their time saved through automation and efficiencies; Hours of their team’s time saved through automation and efficiencies; Cost reductions through identifying efficiencies; Increased revenue through insight delivered
- Professionalism and Gold Standard - tell us how the individual has demonstrated a quality approach through personal values and working practices to ensure the successful use of data in their organisation. Examples of professionalism and gold standard: Following best practices; Working collaboratively with colleagues; Identifying innovative applications of data to benefit them and their employers.
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 organisation.
This award will be judged against the following criteria:
- Nominated individuals must be apprentices who are currently undertaking the L7 AI & Data Science apprenticeship with Cambridge Spark or have 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.
- 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:
- Demonstrated impact with data - tell us about the quantifiable benefits/impact the individual has delivered to their organisation through applying data skills in the past year. Examples of possible measures of impact: Hours of their time saved through automation and efficiencies; Hours of their team’s time saved through automation and efficiencies; Cost reductions through identifying efficiencies; Increased revenue through insight delivered
- Professionalism and Gold Standard - tell us how the individual has demonstrated a quality approach through personal values and working practices to ensure the successful use of data in their organisation. Examples of professionalism and gold standard: Following best practices; Working collaboratively with colleagues; Identifying innovative applications of data to benefit them and their employers.
- Demonstrated impact with data - tell us about the quantifiable benefits/impact the individual has delivered to their organisation through applying data skills in the past year. Examples of possible measures of impact: Hours of their time saved through automation and efficiencies; Hours of their team’s time saved through automation and efficiencies; Cost reductions through identifying efficiencies; Increased revenue through insight delivered
Note: Entries for this award can be submitted by line managers nominating themselves, apprentices nominating their line managers or Cambridge Spark data mentors and coaches wishing to recognise a line manager’s efforts.
This award is for an outstanding line manager who demonstrated leadership qualities in supporting their apprentice to successfully complete a Cambridge Spark apprenticeship and helped them to become a successful data professional.
The nomination summary should explain in up to 500 words (maximum) how the nominated individuals meet the below criteria and why they believe they should win the award:
- Demonstrated leadership qualities - tell us how the individual supported their apprentice in developing skills, knowledge and behaviours required to successfully complete the apprenticeship and apply new skills at the workplace
- Championing apprenticeship programmes - tell us how the individual has championed apprenticeship programmes within their organisation.
Note: This award is for Cambridge Spark learners undertaking an apprenticeship or those who have completed an apprenticeship with Cambridge Spark (alumni/achievers).
This award is for an outstanding individual whose employer has identified them as a future leader through the impact they are making with data. The award will be given to an individual who has demonstrated outstanding commitment and achievement in their work, and through their quality and professionalism stands out in their organisation as a high performer in data & AI and shows strong standards expected of a future data leader professional.
The nomination summary should explain in up to 500 words (maximum) how the nominated individuals meet the below criteria and why they believe they should win the award:
- Commitment and achievements - tell us about the individual's commitment and achievements
- Demonstrated impact - tell us about the impact, including quantifiable metrics where possible, the individual and their work is having on the organisation and their team
- Professionalism - tell us how the individual has provided an example to colleagues of the importance of the role of data in their organisation and the standards expected of data professionals.
Note: This award is for Cambridge Spark learners undertaking an apprenticeship or those who have completed an apprenticeship with Cambridge Spark (alumni/achievers).
This award is for an individual who has made outstanding contributions and led voluntary data initiatives either inside or outside of their work, such as community events, talks, hosting networking meetups, telling their story online, volunteering etc.
The nomination summary should explain in up to 500 words (maximum) how the nominated individuals meet the below criteria and why they believe they should win the award:
- Initiatives and achievements - tell us about the individual's data initiatives they delivered and what achievements they accomplished
- Future impact - tell us about the data initiatives the individual is currently working on that will create future impact within data communities
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- Demonstrated leadership qualities via their peer network alongside their progress across the wider components of their programme
- Regularly responded on Knowledge Base, Cambridge Spark's peer learning community, and whose answers were accepted by their peers because they've demonstrated understanding and completeness in their answers
Note: The nomination for this award will be submitted by Cambridge Spark Data Mentors & Coaches only. This award is not open to public nomination.