Position: Entry level

Job type: Full-time

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Job content

Somerset NHS Foundation Trust is seeking to appoint an experienced Data Scientist to work within the Trust’s ’Improvement Team’ and as part of the ‘Somerset Collaboration Hub’ supporting change programmes across the Somerset Integrated Care System.

The purpose of the role will be to support the progression of evidence based, data led transformation and evaluation.

Our Improvement Team has been recognised both nationally and internationally as a centre for best practice in Quality Improvement and as the successful candidate you’ll contribute by using advanced analytical tools and statistical techniques (such as statistical forecasting, machine leaning, modelling / simulations etc.) to provide insight that supports strategic decision making on the targeting and evaluation of benefits from transformation programmes.

Duties

Working closely with the Trust’s Information Team and with other Information Teams across the Somerset system the main duties will be
  • To provide statistical based insights and visualisations on the functioning of the system and the patient flows within it;
  • To lead projects to design, develop, test and validate intelligent modelling, simulations and predictive analytics to support service change and evaluation;
  • As subject matter expert support the development of training and raising of capability of other members of the Trust interested in analytics;
  • Make recommendations and determine impact of proposed strategic and operational changes using data-driven approaches;
  • Be able to clearly present information in a way that’s accessible and engaging to a wide and diverse audience;
  • Support the development of an evidence based data driven culture within the organisation by acting as an ambassador for the approach.
Please note: If you are successful for interview, you will be required to bring the following with you: Proof of any essential qualifications stated on the Job Description, proof of NHS payslip if coming from another NHS Organisation and all ID to prove your identity and Right to Work (More details will follow for successful applicants invited to interview)

Our values are simple: Outstanding Care, Working Together, Listening and Leading.

Benefits

With this in mind, we offer a range of staff benefits including

We recognise that our staff are our most valuable resource, we are proud of the excellent levels of service our Trust provides to our service users and the dedication and conscientious of our staff.

Excellent annual leave entitlement

Relocation package – up to £8,000 (Subject to eligibility)

Enhanced rates of pay

NHS Pension Scheme

Free parking on most of our sites

NHS discounts

Training and development

Flexible working

Paid registration fees for the 1st year for newly qualified staff

For more information please contact the recruitment team via email: SomersetNHSJobs@SomersetFT.nhs.uk

By submitting your application to NHS Jobs/Trac, you are giving your consent for elements of your application data to be transferred to the NHS Electronic Staff Record (ESR) and other secure, internal NHS Workforce systems in order to support and manage your recruitment and employment within your employing organisation; to be used by Recruitment for purposes of checking your Professional Registration online (where applicable), any previous NHS service details including all electronically held sickness information, via the Inter Authority Transfer process on the national Electronic Staff Record (ESR).

These processes are in line with Fair and Lawful processing and with the Data Protection Act (2018) principles especially those in relation to your personal or sensitive personal data (sensitive personal data is defined as any declared physical or mental health conditions, racial or ethnic origin, sexual orientation, trade union membership, political opinion, religious beliefs). Other principles under Data Protection will be observed such as use of data for specific, defined purposes, and use of data that is relevant and not excessive whilst practicing data accuracy and security of all held personal identifiable information (PII).
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Deadline: 21-06-2024

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