Statistics & Data Science Innovation Hub Principal Data Scientist

GlaxoSmithKline
Stevenage
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Placement

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

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

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 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.

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.

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.