role	role_level	band	skill	skill_source	pcf_reference	esco_reference	expected_level	expected_level_number	expected_level_description	self_rating	manager_rating	gap	evidence	development_action
Data scientist	Principal data scientist	7	Applied maths, statistics and scientific practices	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/382c11ed-20d5-4ae7-b60e-15fec527fa6c; http://data.europa.eu/esco/skill/7ee4c2ea-b349-4bd2-81a3-ec31475d4833; http://data.europa.eu/esco/skill/7a34b3d9-bd3b-4f4e-a0f6-f97439901cb7	expert	4	You can: - identify opportunities to develop statistical insight, reports and models to support organisational objectives, while collaborating across the organisation effectively - critique statistical analyses - use a variety of data analytics techniques (such as data mining and prescriptive and predictive analytics) for complex data analysis through the whole data life cycle - use model outputs to produce evidence and help design services and policies - understand a broad range of statistical tools, particularly those deployed within the organisation, and can use these appropriately and help others to use them					
Data scientist	Principal data scientist	7	Data engineering	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/48db96bf-3314-45c6-bad8-fdb6e20e5639; http://data.europa.eu/esco/skill/2daec0e6-f0c1-43e8-8178-aedba99130ec	expert	4	You can: - help to identify the data engineering requirements for any data science product, while working with data engineers and data scientists to design and deliver those products into the organisation effectively - understand the need to cleanse and prepare data before including it in data science products and can put reusable processes and checks in place - understand a broad range of architectures, including cloud and on-premise, and data manipulation and transformation tools deployed within the organisation, and can use these tools appropriately and help others use them					
Data scientist	Principal data scientist	7	Data ethics and privacy	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/e9575f7f-053a-439e-8074-f93df3334e92; http://data.europa.eu/esco/skill/33a82b83-c838-4889-ae62-fae1317481eb; http://data.europa.eu/esco/skill/71717c33-dd63-4acf-b052-a5fd5d9fc490	practitioner	3	You can: - work with stakeholders to identify and address ethical and privacy concerns - demonstrate and communicate how data ethical issues fit into the wider organisational context - research developments in data ethics and privacy to improve compliance and processes - assess and constructively challenge proposed data ethics policies					
Data scientist	Principal data scientist	7	Data science innovation	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/edebd83d-35f6-4ed5-a940-6c203d178c01; http://data.europa.eu/esco/skill/4216e465-7baa-4884-a241-54b197bb9278; http://data.europa.eu/esco/skill/8327754d-3990-4056-b07e-4faa49cfcd26	expert	4	You can: - be a leader in the data science space - demonstrate in-depth knowledge of data science tools and techniques, which you can use to solve problems creatively and to create opportunities for your team - act as a coach, inspiring curiosity and creativity in others - demonstrate in-depth knowledge of your chosen profession and keep up to date with changes in the industry - challenge the status quo and always look for ways to improve data science					
Data scientist	Principal data scientist	7	Delivering business impact	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/be20d05c-f6b4-4580-9fcf-f00f4baab562; http://data.europa.eu/esco/skill/ee7f90cc-922e-4da7-a7ae-83c2688fed10	practitioner	3	You can: - lead and support your organisation area by using data science to create change - identify opportunities to develop data science products to support organisational objectives, while collaborating across the organisation to fulfil goals - show an understanding of the role of user research, and can design and manage processes to gather and establish user needs - communicate relevant and compelling stories effectively and present analysis and data visualisations clearly to get across complex messages - work with colleagues to implement scalable data science products, and to understand maintenance requirements					
Data scientist	Principal data scientist	7	Developing data science capability	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/517f678e-001b-4985-acb4-9edc3500d74c; http://data.europa.eu/esco/skill/a584a638-a2c0-4b3c-bdf3-a64f87225be9; http://data.europa.eu/esco/skill/988f4ac3-a37c-4b0a-a40f-4e0e56b5919e	practitioner	3	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					
Data scientist	Principal data scientist	7	Programming and build (data science)	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/21d2f96d-35f7-4e3f-9745-c533d2dd6e97; http://data.europa.eu/esco/skill/ccd0a1d9-afda-43d9-b901-96344886e14d; http://data.europa.eu/esco/skill/8369c2d6-c100-4cf6-bd83-9668d8678433	expert	4	You can: - write complex programs and scripts - seek to make code open source where appropriate - supervise junior analysts and set coding standards for your team - understand software architecture and how to write efficient, optimised code - perform user testing on products prior to launch					
Data scientist	Principal data scientist	7	Understanding product delivery	UK GDaD PCF	https://understand-digital-data-roles-skills.service.gov.uk/skills/	http://data.europa.eu/esco/skill/cd5efa8c-e44d-4cbc-91c6-796018dbed68; http://data.europa.eu/esco/skill/0a9acb6b-1139-4be9-b431-3a80a959f2f4	practitioner	3	You can: - understand the differences between delivery methods, such as Agile and waterfall, and can choose the most appropriate method to deliver each product - define the minimum viable product (MVP) and support decisions about priorities - work with specialists in multidisciplinary teams to smoothly deliver data science products into the organisation					
Data scientist	Principal data scientist	7	Understanding health and care services	this reference		http://data.europa.eu/esco/skill/9b63d92b-5a3a-46b0-b2ba-c98b39ea5aaf; http://data.europa.eu/esco/skill/6c252ea9-e7df-4f82-8035-7d7ee742ff0e	practitioner	3	You can: - analyse how a service fits into care pathways across organisations - work with clinicians, care staff, and patients to shape digital services - explain the effect of digital decisions on care, safety, and staff workload 					
Data scientist	Principal data scientist	7	Information governance and data protection	this reference		http://data.europa.eu/esco/skill/a4346013-a967-4a58-a533-6b32ad1364c5; http://data.europa.eu/esco/skill/51ece34f-c24e-4183-9bf4-9b6f28748aec; http://data.europa.eu/esco/skill/097c6a36-f031-4d3e-b5c1-62d6ffcb430b	practitioner	3	You can: - lead data protection impact assessments and information sharing agreements - advise teams on lawful basis, consent, confidentiality, and retention - investigate incidents and recommend improvements 					
Data scientist	Principal data scientist	7	Pseudonymisation and disclosure control	this reference		http://data.europa.eu/esco/skill/71717c33-dd63-4acf-b052-a5fd5d9fc490; http://data.europa.eu/esco/skill/33a82b83-c838-4889-ae62-fae1317481eb	practitioner	3	You can: - design pseudonymisation and linkage methods that keep identifiers separate from analysis data - assess the re-identification risk of a data set or publication and choose suitable controls - advise teams on safe settings, such as trusted research environments 					
Data scientist	Principal data scientist	7	Safe and fair AI in health care	this reference		http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2; http://data.europa.eu/esco/skill/e9575f7f-053a-439e-8074-f93df3334e92	practitioner	3	You can: - plan the validation, bias assessment, and live monitoring of a model with clinical colleagues - decide when a model needs retraining, restricting, or withdrawing - advise teams on when a model may be regulated as a medical device and what evidence it needs 					
Data scientist	Principal data scientist	7	Clinical risk management	this reference		http://data.europa.eu/esco/skill/47d491a9-f7c0-4b13-a10f-983d3aa0113e; http://data.europa.eu/esco/skill/4913d0c0-133a-4c46-aac3-f5d4989a982e	working	2	You can: - take part in hazard workshops and contribute to a hazard log - follow the clinical risk management process for your work - provide evidence for a clinical safety case, such as test results 					
Data scientist	Principal data scientist	7	Medical device software regulation	this reference		http://data.europa.eu/esco/skill/f453b1a6-c7db-4d9d-9ba3-47c45159bfe3	working	2	You can: - follow a software life cycle process that meets medical device standards - produce the records that such a process requires 					
Data scientist	Principal data scientist	7	People management	this reference		http://data.europa.eu/esco/skill/339ac029-066a-4985-9f9d-b3d7c8fea0bb; http://data.europa.eu/esco/skill/add39442-b8ca-4412-8156-391db53b0c5d	working	2	You can: - supervise day-to-day work and give feedback - take part in recruitment and induction - hold regular one-to-one conversations