Kielelezo Wasifu wa marejeleo wa taasisi ya kawaida ya huduma za afya za kidijitali, si maelezo rasmi ya kazi. Kuhusu marejeleo haya.

Mwanasayansi mkuu wa data

Daraja la 7 · Mwanasayansi wa data · Alama 507 za tathmini ya kazi

Tafsiri hii ilifanywa kutoka Kiingereza na msaidizi wa akili bandia na bado haijakaguliwa na mzungumzaji asilia. Nukuu kutoka UK GDaD PCF (Mfumo wa Uwezo wa Taaluma ya Kidijitali na Data wa Serikali ya Uingereza) na ESCO zinabaki kwa Kiingereza.

Kiwango cha UK GDaD PCF: Principal data scientist

Mara nyingi hufanywa katika daraja la Utumishi wa Umma SEO au G7.

A principal data scientist is a leader of data science, quite often with responsibility for managing and developing teams.

At this role level, you will:

  • have a broad knowledge of data science techniques, use cases and potential impact, as well as the tools and technologies
  • have extensive experience in scoping, designing and delivering data science outputs and products
  • work collaboratively with a range of experts in support of organisational objectives
  • communicate effectively and challenge delivery plans and priorities
  • appreciate and understand data ethics, data preparation and manipulation
  • appreciate and understand delivery methods, and how to deliver supported solutions at scale
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.

Wajibu

Ujuzi

UjuziKiwango kinachotarajiwaKiwango hiki kinamaanisha nini
Applied maths, statistics and scientific practicesUK GDaD PCFBingwa (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 engineeringUK GDaD PCFBingwa (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 ethics and privacyUK GDaD PCFMtaalamu (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 science innovationUK GDaD PCFBingwa (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
Delivering business impactUK GDaD PCFMtaalamu (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
Developing data science capabilityUK GDaD PCFMtaalamu (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
Programming and build (data science)UK GDaD PCFBingwa (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
Understanding product deliveryUK GDaD PCFMtaalamu (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
Kuelewa huduma za afya na matunzoMarejeleo hayaMtaalamu (3)

Unaweza:

  • kuchambua jinsi huduma inavyolingana na njia za matunzo katika taasisi mbalimbali
  • kufanya kazi na madaktari, wafanyakazi wa matunzo na wagonjwa kuunda huduma za kidijitali
  • kueleza athari za maamuzi ya kidijitali kwa matunzo, usalama na mzigo wa kazi wa wafanyakazi
Usimamizi wa taarifa na ulinzi wa dataMarejeleo hayaMtaalamu (3)

Unaweza:

  • kuongoza tathmini za athari za ulinzi wa data na makubaliano ya ushirikishaji wa taarifa
  • kushauri timu kuhusu msingi halali, ridhaa, usiri na uhifadhi
  • kuchunguza matukio na kupendekeza maboresho
Kuficha utambulisho na udhibiti wa ufichuziMarejeleo hayaMtaalamu (3)

Unaweza:

  • kubuni mbinu za majina bandia na uunganishaji zinazotenganisha vitambulisho na data ya uchambuzi
  • kutathmini hatari ya kumtambulisha upya mtu katika seti ya data au uchapishaji na kuchagua udhibiti unaofaa
  • kushauri timu kuhusu mazingira salama, kama vile mazingira yanayoaminika ya utafiti
AI salama na ya haki katika huduma za afyaMarejeleo hayaMtaalamu (3)

Unaweza:

  • kupanga uthibitishaji, tathmini ya upendeleo na ufuatiliaji wa moja kwa moja wa muundo pamoja na wenzako wa kitabibu
  • kuamua lini muundo unahitaji kufunzwa upya, kudhibitiwa au kuondolewa
  • kushauri timu ni lini muundo unaweza kudhibitiwa kama kifaa tiba na ushahidi gani unahitaji
Usimamizi wa hatari za kitabibuMarejeleo hayaUtendaji (2)

Unaweza:

  • kushiriki katika warsha za hatari na kuchangia kumbukumbu ya hatari
  • kufuata mchakato wa usimamizi wa hatari za kitabibu kwa kazi yako
  • kutoa ushahidi kwa hoja ya usalama wa kitabibu, kama vile matokeo ya majaribio
Udhibiti wa programu za vifaa tibaMarejeleo hayaUtendaji (2)

Unaweza:

  • kufuata mchakato wa mzunguko wa maisha wa programu unaotimiza viwango vya vifaa tiba
  • kutengeneza kumbukumbu ambazo mchakato kama huo unahitaji
Usimamizi wa watuMarejeleo hayaUtendaji (2)

Unaweza:

  • kusimamia kazi za kila siku na kutoa maoni
  • kushiriki katika uajiri na utambulisho wa wafanyakazi wapya
  • kufanya mazungumzo ya mara kwa mara ya mmoja kwa mmoja

Sifa na uzoefu wa kawaida

Muhtasari wa Daraja la 7

Maarifa
Ujuzi maalumu uliokuzwa sana, kwa kawaida hadi kiwango cha shahada ya uzamili au uzoefu unaolingana.
Uhuru wa kutenda
Hufanya kazi kwa sera ya taasisi; huamua jinsi matokeo yanavyofikiwa; ndiye mtaalamu wanayemshauriana naye wengine.
Wigo
Bidhaa au huduma kadhaa, au kitengo maalumu.
Uongozi
Huongoza timu au eneo la mazoezi ya kitaaluma.
Uwajibikaji
Utoaji wa huduma au kitengo maalumu, na bajeti yake ikiwa anaisimamia.

Tathmini ya kazi (ya kielelezo)

KigezoKiwangoMuhtasari wa kiwangoAlama
Ujuzi wa mawasiliano na kujenga mahusiano5Hutoa taarifa tata sana au zenye utata zinazohitaji ujuzi uliokuzwa wa ushawishi na majadiliano, hutoa mawasilisho kwa makundi makubwa, au huwasiliana palipo na vikwazo vikubwa vya ukubalifu.45
Maarifa, mafunzo na uzoefu7Maarifa maalumu yaliyokuzwa sana katika upana wa fani hiyo (kiwango cha shahada ya uzamili au kinacholingana).196
Ujuzi wa uchambuzi na uamuzi5Hufanya maamuzi kuhusu ukweli au hali tata sana zinazohitaji uchambuzi, ufasiri na ulinganisho wa chaguzi.60
Ujuzi wa kupanga na kuratibu3Hupanga shughuli kadhaa tata, akirekebisha mipango inapohitajika.27
Ujuzi wa kimwili3Ujuzi uliokuzwa unaohitaji kasi au usahihi, kama vile matumizi ya hali ya juu ya kibodi.27
Wajibu wa huduma kwa wagonjwa na wateja1Huwasaidia wagonjwa, wateja au ndugu wakati wa mawasiliano ya bahati.4
Wajibu wa sera na uendelezaji wa huduma3Hutekeleza sera za eneo lake na kupendekeza mabadiliko yanayoathiri maeneo mengine.21
Wajibu wa rasilimali za fedha na mali1Hutunza binafsi vifaa na rasilimali zinazotumika katika kazi yake.5
Wajibu kwa watu2Husimamia au huratibu wafanyakazi kila siku, hufunza wengine mara kwa mara, au hutoa ushauri wa msingi wa rasilimali watu.12
Wajibu wa rasilimali za taarifa4Hurekebisha au hubuni mifumo ya taarifa kwa vigezo vya wengine, au huendesha mifumo ya taarifa ya idara kama jukumu kuu.24
Wajibu wa utafiti na maendeleo3Hufanya utafiti au maendeleo ndani ya programu rasmi kama jukumu kuu.21
Uhuru wa kutenda4Matokeo yamebainishwa, lakini mwenye nafasi huamua jinsi ya kuyafikia, ndani ya sera pana.32
Juhudi za kimwili1Kukaa, kusimama na kutembea, kwa juhudi ndogo ya kimwili.3
Juhudi za kiakili4Umakini wa muda mrefu mara kwa mara, au umakini mkali mara chache.18
Juhudi za kihisia1Kukumbana mara chache, au kukumbana kwa njia isiyo ya moja kwa moja mara chache, na hali zenye kusikitisha.5
Mazingira ya kazi2Mazingira yasiyopendeza mara chache, safari za mara kwa mara au kazi za nje, au matumizi ya skrini karibu bila kikomo siku nyingi.7
Jumla (Daraja la 7: 466 hadi 539)507

Tathmini binafsi

Pima unachofanya mara kwa mara sasa, ongeza mfano mfupi kama ushahidi, na upange hatua kwa mapengo yako muhimu zaidi. Majibu yako yanahifadhiwa kwenye kivinjari hiki tu.

Umepima ujuzi 0 kati ya 15: 0 unatimiza kiwango kinachotarajiwa, 0 uko chini, 0 uko juu.

Applied maths, statistics and scientific practices Kinachotarajiwa: Bingwa
Data engineering Kinachotarajiwa: Bingwa
Data ethics and privacy Kinachotarajiwa: Mtaalamu
Data science innovation Kinachotarajiwa: Bingwa
Delivering business impact Kinachotarajiwa: Mtaalamu
Developing data science capability Kinachotarajiwa: Mtaalamu
Programming and build (data science) Kinachotarajiwa: Bingwa
Understanding product delivery Kinachotarajiwa: Mtaalamu
Kuelewa huduma za afya na matunzo Kinachotarajiwa: Mtaalamu
Usimamizi wa taarifa na ulinzi wa data Kinachotarajiwa: Mtaalamu
Kuficha utambulisho na udhibiti wa ufichuzi Kinachotarajiwa: Mtaalamu
AI salama na ya haki katika huduma za afya Kinachotarajiwa: Mtaalamu
Usimamizi wa hatari za kitabibu Kinachotarajiwa: Utendaji
Udhibiti wa programu za vifaa tiba Kinachotarajiwa: Utendaji
Usimamizi wa watu Kinachotarajiwa: Utendaji
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