Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering an exciting new chapter – one filled with bold ambitions and enormous opportunity.
Our trusted portfolio of brands – including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® – lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.
Now it’s time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose – to deliver better everyday health with humanity – at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.
About the role
The Senior Data Scientist plays a critical role in delivering advanced Data Science and AI solutions across Haleon, contributing to use cases that improve performance, resilience and decision‑making.
This is an exciting opportunity to join the Global Data Science team, a critical part of Haleon’s strategy, with continued investment to build best‑in‑class data science capabilities that deliver measurable impact and meet Responsible AI requirements.
The role is hands‑on and delivery‑focused, responsible for designing, building and deploying machine‑learning and advanced analytical models across the organisation. The Senior Data Scientist works closely with Product Owners, Data Engineers and Machine Learning Engineers to translate business problems into production‑ready data products, ensuring solutions are robust, scalable and compliant with Haleon’s Responsible AI standards.
This is an opportunity for a technically strong, commercially minded Data Scientist who enjoys working at the intersection of science, operations and innovation, and who wants to deepen their impact in a complex, global enterprise environment.
The role is part of the Data Science team in the Data & AI Office and will report to the Principal Data Science Lead. The job holder will be based in Bangalore.
Key responsibilities
Data Science Delivery:
Lead the design, development and application of advanced data science and machine‑learning models.
Lead the development and evolution of models within specific business domains.
Translate complex business and operational problems into well‑structured analytical approaches, selecting appropriate modelling techniques and success measures.
Perform advanced exploratory data analysis to identify drivers, trends and improvement opportunities that inform solution design and business decisions.
Prepare, transform and validate large and complex datasets, partnering closely with Data Engineers to ensure data readiness and quality.
Model Performance & Operationalisation:
Define, implement and interpret robust model performance metrics, ensuring solutions are accurate, stable and fit for purpose.
Work with Machine Learning Engineers to ensure models are deployable, monitored and maintainable in production environments.
Support the full model lifecycle, including testing, validation, documentation and continuous improvement.
Contribute to building scalable data science pipelines and production-ready software components.
Innovation & Applied Experimentation:
Explore and prototype new approaches, ensuring learning is captured and viable solutions progress to scaled delivery.
Apply emerging Data Science and AI techniques pragmatically, in line with Haleon’s standards, governance and enterprise priorities.
Collaboration & Ways of Working:
Work closely with Product Owners and cross‑functional delivery teams to co‑create effective AIML products.
Contribute actively to agile delivery, including sprint planning, design reviews and documentation of models and analytical outcomes.
Enable reuse by contributing to shared Data Science assets, patterns and…