Mwanasayansi wa data mwanafunzi

Daraja la 4 · Mwanasayansi wa data · Alama 276 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: Trainee data scientist

Mara nyingi hufanywa katika daraja la Utumishi wa Umma AO au EO.

A trainee data scientist is inquisitive, curious about data and keen to learn and develop.
At this role level, you will:
have a basic understanding of software development and analytical methods
interpret statistical outputs effectively
be aware of how data science techniques can be used, and have a basic knowledge of those key techniques, such as machine learning
work as part of a multidisciplinary team to develop data science solutions and outputs
prepare and manipulate data
present effectively
be aware of ethical considerations
be aware of the technologies used

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

Kujifunza mbinu za takwimu na kujifunza kwa mashine za timu, zana na njia salama za kufanya kazi kupitia mafunzo yaliyopangwa.
Kuandaa na kuchunguza seti za data za afya zenye majina bandia chini ya usimamizi.
Kuendesha na kufasiri uchambuzi rahisi wa takwimu, akikagua matokeo na mwanasayansi wa data mwenye uzoefu zaidi.
Kufuata taratibu za usimamizi wa taarifa, udhibiti wa ufichuzi na maadili.
Kujitahidi kupata uanagenzi wa sayansi ya data au sifa inayolingana.

Ujuzi

Ujuzi	Kiwango kinachotarajiwa	Kiwango hiki kinamaanisha nini
Applied maths, statistics and scientific practicesUK GDaD PCF	Uelewa (1)	You can: show an understanding of the benefits of applied mathematics and statistics, and can use this knowledge to carry out data science tasks carry out general analysis techniques for data inspection, exploration and visualisation interpret statistical output effectively and accurately show an awareness of different performance and accuracy metrics for statistical assessment and validation
Data engineeringUK GDaD PCF	Uelewa (1)	You can: explain why you need engineering support to design and provide products for the organisation explain why you need to cleanse and prepare data for use in data science products explain different architectures, including cloud and on-premise, and data manipulation and transformation tools
Data ethics and privacyUK GDaD PCF	Uelewa (1)	You can: explain the importance of using data ethics and privacy in your work identify appropriate channels to discuss ethical issues, with support
Data science innovationUK GDaD PCF	Uelewa (1)	You can: adopt an inquisitive and curious approach to data be receptive to learning about data science and its techniques be unafraid to ask questions and discover what there is to learn
Delivering business impactUK GDaD PCF	Uelewa (1)	You can: show an understanding of the organisation and the benefits of data science develop data science products as part of a team create basic visuals and presentations to communicate data science effectively show knowledge of data and analysis and can discuss how to align them to meet user needs
Developing data science capabilityUK GDaD PCF	Uelewa (1)	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
Programming and build (data science)UK GDaD PCF	Uelewa (1)	You can: show a basic understanding of software development principles and can write simple scripts under supervision
Understanding product deliveryUK GDaD PCF	Uelewa (1)	You can: manage your contribution to tasks to fit in with the work of your wider team
Kuelewa huduma za afya na matunzoMarejeleo haya	Uelewa (1)	Unaweza: kuelezea sehemu kuu za mfumo wa afya na matunzo na huduma ambazo taasisi inaziunga mkono kueleza kwa nini usalama wa mgonjwa na usiri ni muhimu katika kazi yako
Usimamizi wa taarifa na ulinzi wa dataMarejeleo haya	Uelewa (1)	Unaweza: kufuata kanuni za taasisi za kushughulikia taarifa binafsi na za afya kutambua na kuripoti ukiukaji wa data au tukio lililokaribia kutokea
Kuficha utambulisho na udhibiti wa ufichuziMarejeleo haya	Uelewa (1)	Unaweza: kueleza tofauti kati ya data inayotambulisha, data yenye majina bandia na data isiyotambulisha kabisa kufuata kanuni za taasisi za kukandamiza nambari ndogo katika matokeo
AI salama na ya haki katika huduma za afyaMarejeleo haya	Uelewa (1)	Unaweza: kueleza jinsi muundo unavyoweza kuwadhuru wagonjwa, kwa mfano kupitia upendeleo, mabadiliko ya utendaji kadiri muda unavyopita, au kutegemea sana matokeo yake kueleza kwa nini miundo inahitaji kuthibitishwa kwa watu watakaoitumia

Sifa na uzoefu wa kawaida

Amesajiliwa katika, au anaelekea kukamilisha, uanagenzi wa sayansi ya data au unaolingana nao.

Muhtasari wa Daraja la 4

Maarifa: Ujuzi wa kina wa eneo la kazi, kwa kawaida kutokana na stashahada, uanagenzi, au uzoefu unaolingana.
Uhuru wa kutenda: Hufanya kazi ndani ya miongozo; hutatua matatizo mengi ya kila siku; meneja anapatikana kwa ushauri.
Wigo: Kazi yake na huduma au mchakato uliobainishwa.
Uongozi: Anaweza kusimamia timu ndogo au kuratibu kazi za wengine.
Uwajibikaji: Utoaji wa huduma au mchakato uliobainishwa.

Tathmini ya kazi (ya kielelezo)

Kigezo	Kiwango	Muhtasari wa kiwango	Alama
Ujuzi wa mawasiliano na kujenga mahusiano	3	Hutoa taarifa za kawaida zinazohitaji busara au ushawishi, au taarifa tata au nyeti, au mafunzo rahisi kwa makundi.	21
Maarifa, mafunzo na uzoefu	4	Taratibu mbalimbali, nyingi zikiwa si za kawaida, zinazohitaji nadharia ya kati (kwa mfano stashahada au uzoefu unaolingana).	88
Ujuzi wa uchambuzi na uamuzi	3	Hufanya maamuzi kuhusu ukweli au hali mbalimbali zinazohitaji uchambuzi au ulinganisho wa chaguzi.	27
Ujuzi wa kupanga na kuratibu	2	Hupanga kazi au shughuli rahisi, baadhi zikiendelea.	15
Ujuzi wa kimwili	3	Ujuzi uliokuzwa unaohitaji kasi au usahihi, kama vile matumizi ya hali ya juu ya kibodi.	27
Wajibu wa huduma kwa wagonjwa na wateja	1	Huwasaidia wagonjwa, wateja au ndugu wakati wa mawasiliano ya bahati.	4
Wajibu wa sera na uendelezaji wa huduma	1	Hufuata sera zilizowekwa na wengine; anaweza kutoa maoni kuhusu mabadiliko.	5
Wajibu wa rasilimali za fedha na mali	1	Hutunza binafsi vifaa na rasilimali zinazotumika katika kazi yake.	5
Wajibu kwa watu	1	Huonyesha taratibu zake za kazi kwa wenzake wapya au wenye uzoefu mdogo.	5
Wajibu wa rasilimali za taarifa	4	Hurekebisha au hubuni mifumo ya taarifa kwa vigezo vya wengine, au huendesha mifumo ya taarifa ya idara kama jukumu kuu.	24
Wajibu wa utafiti na maendeleo	2	Mara kwa mara hufanya utafiti, maendeleo, majaribio ya kitaalamu, au majaribio ya vifaa na mifumo kama sehemu ya kazi.	12
Uhuru wa kutenda	2	Hufuata taratibu za kawaida na mifano ya awali; kwa kawaida kuna mtu wa kuuliza; kazi inaweza kukaguliwa.	12
Juhudi za kimwili	2	Kukaa au kusimama mara kwa mara katika nafasi finyu, au juhudi nyepesi hadi za wastani mara chache.	7
Juhudi za kiakili	3	Umakini wa mara kwa mara kwenye kazi isiyotabirika, au umakini wa muda mrefu mara chache.	12
Juhudi za kihisia	1	Kukumbana mara chache, au kukumbana kwa njia isiyo ya moja kwa moja mara chache, na hali zenye kusikitisha.	5
Mazingira ya kazi	2	Mazingira 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 4: 271 hadi 325)			276

Maarifa yamepewa alama ya kiwango ambacho kazi inahitaji mara mafunzo yanapokuwa yamekamilika vya kutosha kufanya kazi.