Lead Data Science Researcher

Top Remote Talent
Bristol
4 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Lead Optimisation Data Scientist

Manager, Data Science

Data Scientist

Data Scientist

Data Scientist, United Kingdom - BCG X

Overview

A software development company is looking for a talented, long-term Lead DS Researcher. The company provides analytical services to healthcare clients and is an international team of professionals who create products to improve quality of medical services. We’re seeking 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 involves 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.

Responsibilities
  • Lead a compact team of two data scientists on high-impact research initiatives and experimental projects.
  • Push the boundaries of applied machine learning in medical and clinical data contexts and translate complex problems into innovative solutions.
  • Collaborate with an international team of professionals to develop products that improve quality of medical services.
Qualifications
  • Exceptional analytical and statistical skills — comfortable with uncertainty, inference, and experimentation.
  • Strong background in different areas of ML (traditional classification and regression, recommender systems, text data, clustering, etc.).
  • Solid experience with deep learning frameworks like PyTorch or TensorFlow.
  • Excellent Python skills (beyond Jupyter Notebooks) with the 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: 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.; anomaly detection and forecasting with explainability for temporal and mixed data; intermediate+ English for 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.


#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.