Иллюстрация Справочные профили для типовой организации цифрового здравоохранения, а не официальные должностные инструкции. Об этом справочнике.

Developing data science capability

Training and capability improvement involves identifying and advocating ways to develop the skills, knowledge and performance of individuals or organisations.

Цитата из UK GDaD PCF.

Уровни

1. Осведомлённость

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. Рабочий

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. Практик

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. Эксперт

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.

Ближайшие навыки ESCO

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Уровни ролей, ожидающие этот навык

Уровень ролиРольДиапазонОжидаемый уровень
Стажёр специалиста по data scienceСпециалист по data science4Осведомлённость
Младший специалист по data scienceСпециалист по data science5Рабочий
Специалист по data scienceСпециалист по data science6Практик
Главный специалист по data scienceСпециалист по data science7Практик
Ведущий специалист по data scienceСпециалист по data science8aЭксперт
Руководитель направления data scienceСпециалист по data science8bЭксперт