Principal Data Scientist Full-time

Data Scientist

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

You will lead data science work that delivers measurable impact across teams. You will design and build advanced machine learning and AI solutions. You will work closely with product owners, engineers and business partners to turn data into clear decisions. We value curiosity, technical depth, collaboration and ethical thinking. This role offers strong growth, visible impact and the chance to help GSK unite science, technology and talent to get ahead of disease together.

Responsibilities

• Lead end-to-end development of machine learning and AI solutions, from problem definition to production deployment.
• Translate business questions into technical approaches and clear, actionable insights for stakeholders.
• Build and validate models using modern techniques in supervised, unsupervised and deep learning.
• Work with engineers to deploy models reliably using cloud platforms and production standards.
• Mentor and coach other data scientists to grow skills and strengthen the team's practices.
• Champion responsible and reproducible AI practices, including model validation, documentation and bias awareness.

Why You?

We are looking for people who want to solve important problems with data. This role is offered as a hybrid position based in India, with a mix of office and remote work depending on team needs.

Basic Qualification

• Bachelor's or Master's degree in data science, computer science, statistics, mathematics, engineering or a related quantitative field.
• 7+ years of professional experience in data science, machine learning or related roles.
• Strong programming skills in Python and experience with relevant libraries (for example scikit-learn, PyTorch, TensorFlow).
• Practical experience with data engineering tools and databases, including SQL and at least one cloud platform (AWS, Azure or GCP).
• Proven track record deploying models to production and working with software engineering teams.
• Clear communicator who can explain technical work to non-technical partners and present insights with concise visualisations.

What we offer

You will join a collaborative team focused on meaningful outcomes. You will get the chance to grow your technical and leadership skills. You will work on problems that matter to patients and health systems. We encourage people from all backgrounds to apply. If you need adjustments during recruitment, please share your needs and we will work with you.