Pennaeth gwyddor data

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

You can:

• work with data engineers and data scientists to design and provide products for the organisation

You can:

• oversee compliance with data ethics standards and legislation across the organisation
• develop, manage and continuously improve an ethical framework within your area
• develop a data ethics culture, influencing others to act on it
• ensure data ethics is applied appropriately when formulating, implementing and evaluating organisational policies and programmes

You can:

• demonstrate practical knowledge of data science tools and techniques
• develop data science solutions that maximise insight
• identify opportunities for how data science can improve data practices

You can:

• champion the role of data science within the organisation
• understand and champion user research, and can design and manage processes to gather and establish user needs
• identify and create opportunities to develop and deliver data science products to support organisational objectives, while collaborating across the organisation to fulfil meaningful goals
• take responsibility for delivering scalable data science products into the organisation, and establishing maintenance support

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

You can:

• write and test scripts and create basic models in one or more languages
• collaborate on shared codebases, using a variety of methodologies

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

Gallwch:

• llunio strategaeth y sefydliad gan ddefnyddio dealltwriaeth ddofn o'r system iechyd a gofal
• cynrychioli'r sefydliad gyda phartneriaid ac arweinwyr iechyd a gofal
• rhagweld sut bydd newidiadau polisi a gwasanaeth yn effeithio ar wasanaethau digidol a gofal

Gallwch:

• arwain asesiadau o'r effaith ar ddiogelu data a chytundebau rhannu gwybodaeth
• cynghori timau ar sail gyfreithlon, cydsyniad, cyfrinachedd, a chadw
• ymchwilio i ddigwyddiadau ac argymell gwelliannau

Gallwch:

• gosod safonau'r sefydliad ar gyfer sicrhau a monitro deallusrwydd artiffisial mewn gofal
• arwain y gwaith o sicrhau modelau risg uchel cyn ac ar ôl eu defnyddio
• cynrychioli'r sefydliad gyda rheoleiddwyr a phartneriaid ar ddeallusrwydd artiffisial diogel a theg

Gallwch:

• arwain y gwaith o adnabod peryglon ac asesu risg ar gyfer cynnyrch neu newid
• ysgrifennu a chynnal logiau peryglon ac adroddiadau achos diogelwch clinigol
• cytuno ar fesurau rheoli risg gyda thimau cynnyrch a gwirio eu bod yn gweithio
• cynghori timau ar gymhwyso safonau rheoli risg glinigol

Gallwch:

• asesu a yw cynnyrch yn ddyfais feddygol, a'i ddosbarth tebygol
• cynllunio'r gwaith rheoleiddio ar gyfer cynnyrch gyda chydweithwyr ansawdd a chlinigol

Gallwch:

• rheoli tîm yn llinell, gan osod amcanion a chynnal arfarniadau
• cefnogi llesiant a rheoli presenoldeb, perfformiad, ac ymddygiad
• cynllunio datblygiad y tîm a chynllunio olyniaeth

Gallwch:

• dal a rheoli cyllideb, gan ragweld ac egluro amrywiannau
• llunio achos busnes gyda chostau a buddion