Principal Data Scientist Engineer

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. Why You? 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. Basic Qualification 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. Preferred Qualification 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. How to apply 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., Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis Techniques, Statistical Significance Testing

Business Introduction 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., 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. Position Summary 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, Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.