CDU Data Science Team

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# CDU Data Science Team &mdash; HDR-UK
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## **What does an analyst career in the NHS look like**
### Zoë Turner | June 2022

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# Not a typical journey

???

A nice contrast to Sammi and perhaps many people watching this is that many analysts in the NHS don't have data science degrees or masters, or even numerate degrees.

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# My background

I studied Philosophy as an undergraduate degree

My first job after university was on an IT helpdesk

My first job in the NHS was as a secretary

I was an analyst for about 10 years and I've worked in 2 NHS organisations that no longer exist

???

None of this is to dissuade anyone from doing a degree or a masters, in fact, I've been interested in doing one myself but need to find the time! This is to illustrate how there isn't a typical analyst/data scientist route into the NHS.

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# Benefits of working for the NHS

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# Data  
  
.center2[
![Picture of a desk with papers with charts, glasses and pens. The paper has a magnifing glass on it over one of the charts](data:image/png;base64,#img/pexels-anna-nekrashevich-6801648.jpg)
]

???
*Data* - I love transforming data and the complexity of healthcare data. I'm pretty sure my analytical skills are transferable but there is nothing quite like healthcare data in all its messy glory!

Image: Photo by Anna Nekrashevich: https://www.pexels.com/photo/magnifying-glass-on-top-of-document-6801648/

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# People

.center2[
![Photo of a street scene with a lots of people.](data:image/png;base64,#img/pexels-davi-pimentel-2064826.jpg)
]

???
*People* - finding the right team matters and working to make the lives of the people around me matters too. I feel strongly that I am a patient, my family and friends are patients and I want these services to be the best they can be.

Image: Photo by Davi Pimentel: https://www.pexels.com/photo/man-wearing-brown-hoodie-2064826/

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# Change

.center2[
![Picture of letters cut out of a newspaper spelling out "Use your voice"](data:image/png;base64,#img/pexels-polina-kovaleva-6185245.jpg)
]

???

*Changes* - We are not exactly start ups in the NHS and things can go exceedingly slowly but working with analysts who have been using R for the best part of 15 years, I hear from them how hard things were then compared to now (thanks to NHS-R Community and PyCom).

It's easy to not to see how far things have changed and how close we are to the cusp of, I hope, momentous change for the analyst profession as a whole.

Image: Photo by Polina Kovaleva: https://www.pexels.com/photo/use-your-voice-inscription-on-gray-background-6185245/

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# Acknowledgments

Acknowledgements: the professional look of this presentation, using NHS and Nottinghamshire Healthcare NHS Foundation Trust colour branding, exists because of the amazing work of Silvia Canelón, details of the workshops she ran at the [NHS-R Community conference](https://spcanelon.github.io/xaringan-basics-and-beyond/index.html), Milan Wiedemann who created the CDU Data Science logo with the help of the team and Zoë Turner for putting together the slides.

[<svg viewBox="0 0 512 512" style="height:1em;position:relative;display:inline-block;top:.1em;" xmlns="http://www.w3.org/2000/svg">  <path d="M459.37 151.716c.325 4.548.325 9.097.325 13.645 0 138.72-105.583 298.558-298.558 298.558-59.452 0-114.68-17.219-161.137-47.106 8.447.974 16.568 1.299 25.34 1.299 49.055 0 94.213-16.568 130.274-44.832-46.132-.975-84.792-31.188-98.112-72.772 6.498.974 12.995 1.624 19.818 1.624 9.421 0 18.843-1.3 27.614-3.573-48.081-9.747-84.143-51.98-84.143-102.985v-1.299c13.969 7.797 30.214 12.67 47.431 13.319-28.264-18.843-46.781-51.005-46.781-87.391 0-19.492 5.197-37.36 14.294-52.954 51.655 63.675 129.3 105.258 216.365 109.807-1.624-7.797-2.599-15.918-2.599-24.04 0-57.828 46.782-104.934 104.934-104.934 30.213 0 57.502 12.67 76.67 33.137 23.715-4.548 46.456-13.32 66.599-25.34-7.798 24.366-24.366 44.833-46.132 57.827 21.117-2.273 41.584-8.122 60.426-16.243-14.292 20.791-32.161 39.308-52.628 54.253z"></path></svg> @DataScienceNott](https://twitter.com/DataScienceNott)  
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