Principal Data Scientist Engineer Full-time NEW

Data Science And AI Solutions Leader

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 the design and delivery of high-impact data science and AI solutions across teams in India. You will work closely with product owners, engineers and business stakeholders to turn complex data into clear decisions. We value technical depth, curiosity, collaboration and ethical thinking. This role offers visible impact, clear career growth and the chance to help GSK unite science, technology and talent to get ahead of disease together. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:

• Lead end-to-end development of machine learning and AI solutions, from problem definition to validation and production deployment.
• Translate business questions into technical approaches and clear, actionable insights for non-technical partners.
• Build, evaluate and validate models using supervised, unsupervised and deep learning techniques.
• Partner with engineering and data platform teams to deploy, monitor and maintain models on cloud infrastructure.
• Mentor and coach data scientists and analysts to grow skills and strengthen team practices.
• Promote responsible, reproducible and well-documented AI practices, including model validation and bias awareness.

You want to solve meaningful problems with data and see your work make a measurable difference. This role is offered as a hybrid position based in India, with a mix of office and remote work depending on team needs. You will own technical initiatives, shape cross-functional decisions, and grow into visible leadership opportunities. If learning, impact and collaboration motivate you, we encourage you to apply.

We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Bachelor's or Master's degree in data science, computer science, statistics, mathematics, engineering or a related quantitative field.
• Minimum seven years of professional experience in data science, machine learning or a related role.
• Strong programming skills in Python and experience with libraries such as scikit-learn, PyTorch or TensorFlow.
• Practical experience with SQL and at least one cloud platform (AWS, Azure or GCP).
• Proven track record deploying models to production and collaborating with software engineering teams.
• Clear communicator who can explain technical work to non-technical stakeholders and present results with concise visualisations.

If you have the following characteristics, it would be a plus:

• Hands-on experience with large language models or other generative AI techniques.
• Familiarity with MLOps or LLMops tooling for model monitoring, CI/CD and lifecycle management.
• Experience with retrieval-augmented generation, vector databases, or semantic search systems.
• Exposure to multi-modal models (text, image, audio) or computer vision workflows.
• Advanced degree (Master's or PhD) in a quantitative subject or demonstrable equivalent experience.
• Previous experience in healthcare, life sciences or other regulated industries.

If this opportunity excites you, please apply. Share your CV and a short note about a data science project you led and the impact it delivered. We welcome applicants from all backgrounds and encourage people who value inclusion to apply. If you need adjustments during recruitment, tell us and we will work with you.