National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

PEP Health
Nottingham
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - £80,000 - Hybrid - London

Data Scientist - Biomarkers - Remote - Outside IR35

PEP Health

UK (remote)

Contract: Permanent, full-time

Salary: £50,000 - £52,000 + annual bonuses (company and performance)

 

About Us

We're PEP Health, an AI-enabled platform transforming the way healthcare providers understand patient experience, and we're looking for top talent to join our ambitious team. We’re virtually headquartered in London and operate across the UK and USA.

As a SaaS company, we deliver real-time analytics via our web platform that helps improve healthcare services and patient outcomes.

You should be self-motivated, eager to learn, and willing to take on new responsibilities, while managing your workload. If you thrive in an agile environment and wish to join an innovative team that’s pioneering positive change in healthcare services, we'd love to hear from you.

We’re looking for a dynamicData Scientistto join our growing team. You’ll be responsible for developing our ML/NLP models, analysing in-house and external data sources, and working closely with internal stakeholders and customers to explain the findings in a clear, concise, and actionable manner.

We're committed to creating an exceptional working environment for our employees. Our culture is open and empowering, and we're looking for a passionate, driven individual to join us on our mission.

What You’ll Be Doing:

  • Training machine learning models to automatically categorise text
  • Investigating new approaches to problems, exploring the literature, and actively following the cutting-edge of research
  • Identifying and using new data sources from around the web, in combination with our proprietary patient experience data
  • Communicating with clients to gather requirements, provide updates, and ensure successful project outcomes.
  • Delivering products in the form of reports, presentations, and academic publications
  • Ensuring projects follow agile methodologies and best practices.

So, what's in it for you?

  • A fast-paced, friendly, collaborative and flexible working environment
  • Ample opportunities for career development and growth
  • Opportunities to tackle challenging technical problems while gaining hands-on experience with cutting-edge data science techniques
  • A diverse and inclusive workplace
  • Monthly wellbeing allowance
  • Unlimited leave


What We’re Looking For:
Must have

  • 3+ years experience as a Data Scientist in a commercial setting
  • Extensive experience usingPythonto analyse text and implement machine learning models - including packages likespaCyandTensorflow
  • Familiarity withMLOpsand experience usingAWSto develop, deploy and monitor models
  • A scientific mindset with strong problem-solving, data analytical, and exploratory skills
  • Experience working directly with commercial clients to present and evolve data science solutions.
  • Excellent communication and stakeholder management skills, with the ability to communicate technical concepts to a non-technical audience
  • Experience with project management and knowledge base tools such asJiraandConfluence
  • Comfortable working remotely
  • Right to work in the UK

Nice to have

  • Experience working intech, healthcare,orSaaSenvironments
  • A track record of academic publications
  • Postgraduate degree in a quantitative field
  • Strong knowledge ofAgile methodologies(Scrum, Kanban, etc.)


This is a remote role for UK-based individuals.

National AI Awards 2025

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.