Senior Research Scientist

Harnham
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior RF Data Scientist - Applied AI & DSP (Onsite)

Senior RF AI/ML Data Scientist — DSP & SDR Onsite

Senior Machine Learning Scientist

Senior Research Scientist London

£80,000-£90,000This AI Health-tech start-up are looking for a Senior Research Scientist to join their R&D team specialising in family planning in LMIC.THE COMPANYData & AI are at the core of this company and they're looking to continue growing their R&D team. This global start-up work with clients in the pharmaceutical industry to help solve their business problems by using behavioural data. The project you'll be working on in the immediate future will focus on using data from various sources to understand users when it comes to family planning, specifically in lower-income countries.THE ROLEAs a Senior Research Scientist for the business, you will:Work solely with user behaviour data to understand the drivers for using or not using contraception when it comes to family planningAnalyse the data and build classical machine learning modelsWork with Data Engineers to put the ML models into productionSKILLS AND EXPERIENCEPhD in a relevant subjectSeveral years commercial experience as a Research / Data Scientist working with Behavioural data ideally within family planning or contraceptivesExperience working with data specifically from middle or lower-income countriesExperience building ML models in Python or RExperience in the healthcare/ pharma space industrySALARY AND BENEFITS£80,000-£90,000 depending on experienceBonus based on individual and company performanceBenefits such as pension, healthcare, unlimited holidaysFlexible working - They have an office based in London where you will need to come in for necessary meetings.Can't sponsor visasINTERVIEW PROCESS3 stage interview process speaking with various stakeholders from the R&D team including a case study / technical assessmentHOW TO APPLYPlease register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page

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.