Lead Data Science Researcher

Top Remote Talent
Manchester
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Science and Machine Learning Researcher

Principal Data Scientist and Machine Learning Researcher

Principal Data Scientist and Machine Learning Researcher

Principal Data Scientist and Machine Learning Researcher

Principal Data Scientist and Machine Learning Researcher

Principal Data Scientist & Machine Learning Researcher


A software development company is looking for a talented, long-term Lead DS Researcher. 

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services. 

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we’re looking for:


  • Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

  • Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

  • Solid experience with deep learning frameworks like PyTorch or TensorFlow;

  • Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

  • Familiarity with medical or life science data is a strong plus;

  • Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

  • Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with:


  • State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

  • Experience with pipeline orchestration tools like Airflow, Argo, etc.;

  • Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

  • Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits: 


  • Join a mission-driven team working at the intersection of data, medicine, and impact;

  • Work on meaningful challenges with long-term value for public health and healthcare quality;

  • Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

  • Fully remote-friendly setup with flexibility and trust at the core.

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 AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.