Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Statistics & Data Science Innovation Hub Principal Data Scientist

GlaxoSmithKline
Stevenage
5 days ago
Create job alert
About the Role

We are building something exciting! Our new Data Science Innovation for R&D Operations pillar is transforming how GSK makes decisions across its R&D operations. We have already delivered high-impact solutions in Clinical Operations, Finance, and Resource Management—and we are just getting started.


As a Principal Data Scientist, you will be at the forefront of this transformation, using cutting‑edge ML, statistical modelling, and GenAI to solve complex operational challenges that directly improve how we deliver medicines to patients. This is a unique opportunity to apply your technical expertise to problems that matter, working in a fast‑paced, collaborative environment with some of the brightest minds in the industry.


In this role you will:

  • Build predictive models and AI solutions that solve impactful business problems focusing on clinical operations.
  • Deliver impactful data science solutions from concept to implementation.
  • Collaborate in cross‑functional technical and business teams.
  • Communicate complex findings clearly through compelling visualisations.
  • Set high standards for code quality and technical innovation.

Basic Qualifications & Skills

  • PhD (or equivalent) in statistics, data science, computer science, mathematics, engineering, or a related quantitative field.
  • Advanced R/Python programming with expertise in OOP, data structures, data science libraries, and production deployment.
  • Strong statistical modelling and machine learning skills, backed by a postgraduate degree.
  • Pharmaceutical industry experience, particularly in clinical operations.
  • Expertise in translating business challenges into actionable insights through data‑driven approaches.

Preferred Qualifications & Skills

  • Technical consulting experience: understand business context, frame scientific problems, provide actionable insights and deliver business‑facing solutions.
  • Experience working in matrixed teams, especially with clinicians, researchers and technical contributors.
  • A highly analytical problem‑solver with a commitment to continuous learning and professional growth.

Additional information

Closing Date for Applications: 10th December 2025 EOD. The job description will not be available after the advert closes.


Please take a copy of the Job Description, as this will not be available post closure of the advert.


Equal Opportunity Employer

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under federal, state or local law.


Contact for Adjustments

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on or . The helpline is available from 8.30am to 12.00pm Monday to Friday, during bank holidays these times and days may vary.


#J-18808-Ljbffr

Related Jobs

View all jobs

Statistics & Data Science Innovation Hub Principal Data Scientist

Statistics & Data Science Innovation Hub Principal Data Scientist

Statistics & Data Science Innovation Hub Principal Data Scientist

Principal Data Scientist (UK)

Principal Data Scientist (UK)

Statistics & Data Science Innovation Hub - Data Science Leader

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.