Clinical Engineering Apprentice (Data Scientist, Clinical Engineering)

Career Choices Dewis Gyrfa Ltd
Wolverhampton
2 weeks ago
Create job alert
Clinical Engineering Apprentice (Data Scientist, Clinical Engineering)

Employer:

NHS Jobs

Location:

Pay:

£24,465.00 per year, £24465.00 a year

Contract Type:

Hours:

Full time

Disability Confident:

No

Closing Date:

03/04/2026

About this job

We have created an exciting opportunity for an enthusiastic Clinical Engineering Apprentice to work as part of the Clinical Information Systems (CIS) team in the Clinical Engineering section of the Medical Physics & Clinical Engineering Department within the Royal Wolverhampton NHS Trust and Walsall Healthcare NHS Trust.

The recruitment process will involve a tabletop/practical assessment and interview.

Main Duties & Responsibilities To be managerially and technically responsible to the Professional Technical Development Manager.

To be committed to making full use of the academic and practical opportunities the post offers, to gain the qualifications and skills needed to become a Clinical Technologist.

To observe, learn and assist, under supervision, in the full range of work of the Clinical Engineering Department, for the purpose of becoming competent in electronic and engineering activities.

This work will include medical device safety for patients and staff, planned preventative/corrective maintenance, inventory management, medical device lifecycle management, acceptance and safety testing, medical device decommissioning, assistance in maintenance of records, equipment evaluation, development, and audit.

To progress towards acquiring the academic knowledge and practical skills necessary to complete medical device maintenance work with reducing supervision, completing the Clinical Apprentice Logbook, feedback and reflective forms as required, to support CPD evidence and RCT registration.

To ensure that any cleaning, calibration, safety checks and maintenance of medical devices and test equipment is carried out as instructed and in strict compliance with agreed instructions, maintaining accurate records of work undertaken.

To follow department technical procedures and safety standards applicable to medical devices and immediately report any matters which may affect staff or patient safety to a qualified Clinical Technologist.

Work-based learning will consist of spending time in all the 9 Clinical Engineering Sections at the Royal Wolverhampton NHS Trust (including West Park Hospital and Cannock Chase Hospital) and at Walsall Healthcare Trust, where they will gain experience and training, working alongside our experienced Clinical Technologists.

To participate, as appropriate to AFC banding/job role, in relevant training given by manufacturers and technical staff.

To understand the need to respond quickly and efficiently to all requests regarding medical devices, exercising own judgment in escalating to the appropriate clinical technologist.

To conform to all Medical Physics and Clinical Engineering (MPCE) safe working practices, and departmental policies and procedures.

This includes working to the departmental Quality Management Systems (QMS). To establish good working relationships with all technical, clinical and support staff that the apprentice will interact with.

This Job Description is a guide to the tasks involved with the post and is not exhaustive.

Interviews are scheduled for the 16th April 2026 and practical assessements 17th April 2026.

Jobs are provided by the Find a Job Service from the Department for Work and Pensions (DWP).


#J-18808-Ljbffr

Related Jobs

View all jobs

Clinical Engineering Apprentice (Data Scientist, Clinical Engineering)

Clinical Engineering Apprentice: Data Scientist Track

Clinical Engineering Data Scientist Apprentice

Data Science Intern

Data Science Intern

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.