Developing data science capability
Training and capability improvement involves identifying and advocating ways to develop the skills, knowledge and performance of individuals or organisations.
수준
- 1. 인지
You can:
- show an awareness of various sources of training and self-directed learning for data science
- create a CPD (continuous professional development) plan with support from your manager
- demonstrate a basic understanding of key data science techniques, such as machine learning, and how they can be used
- 2. 실무
You can:
- manage your CPD (continuous professional development) and can link your learning to objectives and organisational goals
- confidently talk about the benefits of data science approaches to existing and potential customers
- demonstrate a good understanding of key data science techniques, such as machine learning, and you can use them to build data science solutions, including reports, models and dashboards
- 3. 실천가
You can:
- manage your CPD (continuous professional development) and can link your learning to objectives and organisational goals
- support data science capability building across the team and wider organisation
- confidently talk about the benefits of data science approaches to existing and potential customers
- demonstrate a good understanding of a range of data science techniques, such as machine learning and natural language processing, and you can use them to build data science solutions, including reports, models and dashboards
- 4. 전문가
You can:
- act as a leader or technical specialist, providing detailed support and guidance within the organisation and helping colleagues to develop skills
- set the direction of CPD (continuous professional development) within your team
- keep up to date with new developments in data science and can match those to opportunities in your organisation
- talk confidently about the benefits of data science approaches to existing and potential customers
- demonstrate an in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and detailed knowledge of at least one specialism
- use these techniques to build data science solutions, including reports, models and dashboards
Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.
가장 가까운 ESCO 스킬
Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.
이 스킬을 기대하는 역할 수준
| 역할 수준 | 역할 | 밴드 | 기대 수준 |
|---|---|---|---|
| 트레이니 데이터 사이언티스트 | 데이터 사이언티스트 | 4 | 인지 |
| 어소시에이트 데이터 사이언티스트 | 데이터 사이언티스트 | 5 | 실무 |
| 데이터 사이언티스트 | 데이터 사이언티스트 | 6 | 실천가 |
| 프린시펄 데이터 사이언티스트 | 데이터 사이언티스트 | 7 | 실천가 |
| 리드 데이터 사이언티스트 | 데이터 사이언티스트 | 8a | 전문가 |
| 데이터 사이언스 책임자 | 데이터 사이언티스트 | 8b | 전문가 |