Main area: Informatics
Grade: NHS AfC: Band 7
Contract: Permanent (on successful completion of the Apprenticeship programme will be Senior Data Scientist Band 7)
Hours: Full time - 37.5 hours per week
Job ref: 411-COR-25-6934072
Employer: Alder Hey Children's NHS Foundation Trust
Employer type: NHS
Site: Alder Hey Children's NHS Foundation Trust
Town: LIVERPOOL
Salary: £46,148 - £52,809
Salary period: Yearly
Closing: 01/02/2025 23:59
Interview date: 14/02/2025
Apprentice Senior Data Scientist - Infection Prevention and Control (IPC)
NHS AfC: Band 7
Alder Hey Children’s NHS Foundation Trust is a provider of specialist health care and has a presence in community outreach sites. The Trust provides inpatient care for children with complex mental health needs. You can expect a warm welcome at Alder Hey Children’s NHS Foundation Trust. Our staff are friendly and welcoming. We listen to each other and work together to embed our Trust values and behaviours. We appreciate our staff and reward them with an outstanding benefits package including: Great flexible working opportunities Lease car scheme and Home Electronics Scheme Generous annual leave and pension scheme Extensive staff health and well-being programmes Job overview
An exciting opportunity has arisen to join Alder Hey Children’s NHS Foundation Trust as an Apprentice Senior Data Scientist in Infection Prevention and Control (IPC). The post holder will lead and manage multiple data science projects in IPC related population health, public health, and epidemiology, promoting a data-driven culture throughout the organisation. The post holder will develop, maintain, and optimise advanced analytical and predictive models for IPC. This is a 22-month training post of 37.5 hours per week with Annexe 21 applied; 70% of the top of band 7 for the first year and 75% of the top of band 7 for the second year. On successful completion of the Apprenticeship programme, you will become Senior Data Scientist IPC on Band 7. Main duties of the job
Design and implement data visualisations and reports using PowerBI to effectively communicate insights in population health, public health, and epidemiology to IPC stakeholders. Drive innovation in data science solutions in population health, public health, and epidemiology and promote a data-driven culture throughout the organisation. Ensure that systems, processes, and methodologies are followed to deliver effective monitoring, control, and support of service delivery. Provide reports on agreed schedules, including management and performance reports. Work closely with clinicians and service managers in producing models that fit the problem. Communicate highly complex information and analyses to a wide range of internal and external stakeholders. Person specification
Education and Training
Level 2 Maths and English or equivalent qualifications (i.e. GCSEs grades A*- C/9 – 4, A-levels, Level 2 Maths and English Functional Skills). Required Mathematics Qualifications or Experience (at least one of the following):
STEM undergraduate degree Social Sciences undergraduate degree with Research Methods and/or Statistics Level 4 or higher qualification in STEM or a related field Professional registration with FEDIP through the Association of Healthcare Analysts Equivalent analytical work experience
Experience of
Leading data science projects and delivering impactful solutions. Working knowledge of machine learning techniques. Identifying and solving problems through data-driven insights. Experience working in the NHS in applying data science. Knowledge of
The NHS or healthcare environment. Machine learning algorithms. Relevant programming languages and statistical concepts. Skills
Ability to automate data science pipelines using relevant technologies. Excellent communication skills, both written and verbal. Analytical and problem-solving skills. Personal Attributes
Good organisational skills with the ability to prioritise workload. Commitment to continuous learning. Strong attention to detail and delivery of high-quality work. We reserve the right to close vacancies without notice when we have received a sufficient number of applications. Please ensure you apply without delay if you wish to be considered for this role. Alder Hey Children’s NHS Foundation Trust is committed to safeguarding and promoting the welfare of children and young people.
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NHS AfC: Band 7
Alder Hey Children’s NHS Foundation Trust is a provider of specialist health care and has a presence in community outreach sites. The Trust provides inpatient care for children with complex mental health needs. You can expect a warm welcome at Alder Hey Children’s NHS Foundation Trust. Our staff are friendly and welcoming. We listen to each other and work together to embed our Trust values and behaviours. We appreciate our staff and reward them with an outstanding benefits package including: Great flexible working opportunities Lease car scheme and Home Electronics Scheme Generous annual leave and pension scheme Extensive staff health and well-being programmes Job overview
An exciting opportunity has arisen to join Alder Hey Children’s NHS Foundation Trust as an Apprentice Senior Data Scientist in Infection Prevention and Control (IPC). The post holder will lead and manage multiple data science projects in IPC related population health, public health, and epidemiology, promoting a data-driven culture throughout the organisation. The post holder will develop, maintain, and optimise advanced analytical and predictive models for IPC. This is a 22-month training post of 37.5 hours per week with Annexe 21 applied; 70% of the top of band 7 for the first year and 75% of the top of band 7 for the second year. On successful completion of the Apprenticeship programme, you will become Senior Data Scientist IPC on Band 7. Main duties of the job
Design and implement data visualisations and reports using PowerBI to effectively communicate insights in population health, public health, and epidemiology to IPC stakeholders. Drive innovation in data science solutions in population health, public health, and epidemiology and promote a data-driven culture throughout the organisation. Ensure that systems, processes, and methodologies are followed to deliver effective monitoring, control, and support of service delivery. Provide reports on agreed schedules, including management and performance reports. Work closely with clinicians and service managers in producing models that fit the problem. Communicate highly complex information and analyses to a wide range of internal and external stakeholders. Person specification
Education and Training
Level 2 Maths and English or equivalent qualifications (i.e. GCSEs grades A*- C/9 – 4, A-levels, Level 2 Maths and English Functional Skills). Required Mathematics Qualifications or Experience (at least one of the following):
STEM undergraduate degree Social Sciences undergraduate degree with Research Methods and/or Statistics Level 4 or higher qualification in STEM or a related field Professional registration with FEDIP through the Association of Healthcare Analysts Equivalent analytical work experience
Experience of
Leading data science projects and delivering impactful solutions. Working knowledge of machine learning techniques. Identifying and solving problems through data-driven insights. Experience working in the NHS in applying data science. Knowledge of
The NHS or healthcare environment. Machine learning algorithms. Relevant programming languages and statistical concepts. Skills
Ability to automate data science pipelines using relevant technologies. Excellent communication skills, both written and verbal. Analytical and problem-solving skills. Personal Attributes
Good organisational skills with the ability to prioritise workload. Commitment to continuous learning. Strong attention to detail and delivery of high-quality work. We reserve the right to close vacancies without notice when we have received a sufficient number of applications. Please ensure you apply without delay if you wish to be considered for this role. Alder Hey Children’s NHS Foundation Trust is committed to safeguarding and promoting the welfare of children and young people.
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