Data Scientist (Artificial Intelligence & Digital Health)

Imperial College London
London
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist- Consumer Behaviour

This is an exciting opportunity for a motivated and experienced Data Scientist to join our team at Imperial College London to support the delivery of a portfolio of projects within the theme and initiative, spanning translational clinical analytics, Artificial Intelligence and Real-World Evidence.

The Imperial BRC’s Secure Data Environment, iCARE, provides a unique platform enabling routinely collected healthcare data to be used for research, evaluation, and direct care returns. The post-holder will work with richly detailed, de-identified health and social care data to deliver new insights, developments and interventions that make a genuine contribution to improving health at person and population level.


You will be leading on data analytics and visualisation projects, including the development of predictive and advanced analytics models using AI, machine learning and natural language processing (NLP), to solve the most pressing real-world problems facing the NHS.

You will work closely and collaboratively in a multi-disciplinary team of clinicians, allied healthcare professionals, data scientists, programme managers, and data engineers from Imperial College London, Imperial College healthcare NHS Trust, Whole Systems Integrated Care, and other NHS, research, and policy.

You will also provide expertise in evaluating digital technologies and innovations (. computerised clinical decision support interventions) to generate robust evidence of patient and health service benefit. 


As our ideal candidate, you will have:

A postgraduate degree in data science, health informatics, computer science or a related subject and experience in data engineering. Strong SQL, Python, or R skills and very comfortable with natural language processing, machine learning, statistics and modelling. Previously used structured and unstructured healthcare data and healthcare standards to curate data and create pipelines to answer an analytical question. An excellent eye for detail, enjoy problem-solving, and be able to drive work forward independently and as a team. Excellent verbal and written communication skills with both technical and non-technical stakeholders.


The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity Benefit from sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes) Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work schemeInterest-free season ticket loan schemes for travel Be part of a diverse, inclusive, and collaborative work culture with various and resources designed to support your personal and professional .

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.