Health Data Scientist

Harnham
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Postdoctoral Research Assistant in Health Data Sciences

Data Scientist: Data Quality & Monitoring (AWS)

Data Scientist: Data Quality & ML Monitoring on AWS

Data Scientist - SearchWorks

Senior Data Scientist – Health Transformation (Hybrid)

Health Senior Data Scientist

Remote

IMMEDIATE START DATE

We are working with a health care company looking to add a Senior Data Scientist to their team to work on a modern contraception project across Western Africa. The data will look into drivers and barriers of people using contraception in these areas and will require a senior data scientist to analyse the data and create actionable models from the findings.

Requirements:

  • Strong R experience
  • Regression, Segmentation and Causal Modeling experience
  • Experience working with large, unstructured data sets
  • Experience working with health data
  • PhD

Desired Skills and Experience

R, Regression, Segmentation, Data Analysis, Health Data, Data Science

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.