Data Analytics Trainer (Healthcare)

London
6 months ago
Applications closed

Related Jobs

View all jobs

Trainee Data Analyst Excel, SQL & Power BI)

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analytics Trainer (Healthcare)
Remote - Part-Time, up to 3 days per week
Up to £47,500 (Pro Rata) + Pension + Flexible Hours

Do you have a background in Data Analytics and Healthcare?

Are you open to making a career change and step into a role where you will help to train the next generation of Healthcare Data professionals and play an important part in peoples' lives?

On offer is a unique opportunity to step into a first-of-its-kind role and take ownership for the delivery of a highly important training programme.

This well-established organisation has an excellent reputation within their industry and are known for having a culture that focuses on helping people, a team that is diverse and for looking after their staff. With excellent prospects on offer, they have a structured progression pathway for all members of staff and provide plenty of training & qualification opportunities to their staff.

In this role, you will deliver virtual/video seminars to groups of apprentices and provide 1 to 1 coaching & mentoring. You will also facilitate small round tables, teaching & providing guidance to groups of 5, and take responsibility for assessing student progress and providing them with feedback.

The ideal candidate for this role will have an understanding of experience of Data Analytics & Data analysis relating to Health and/or Social Care. This will include excellent mathematics & statistics knowledge, as well as knowledge of population health and epidemiology.

If you are a Data Analytics professional with experience in the Healthcare or Social care industries and are looking for an opportunity that offers training & progression and a chance to make an impact & help other people, then this role is for you.

The Role:

Delivering virtual seminars
Coaching students 1 to 1
Conducting round table sessions with small groups of students
Assessing apprentices' progressThe Person:

Data Analytics, Data Science or Data Engineering professional
Experience of the healthcare or social care sectors
Strong mathematical, statistical and analytical skills
Knowledge of population health & epidemiology

Reference Number: BH-(phone number removed)

To apply for this role or to be considered for further roles, please click "Apply Now" or contact Ilyas Shirwani at Rise Technical Recruitment.

We are an equal opportunities employer and welcome applications from all suitable candidates

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

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.