Senior Data Scientist

Job Summary

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 accelerators.
• Contribute to development of reusable AI foundations and assets (e.g. forecasting, optimisation, segmentation, attribution, experimentation frameworks).

Governance, Quality Responsible AI

• Ensure all Data Science work adheres to agreed standards for coding, experimentation, data governance, security and Responsible AI.
• Participate in code reviews and enforce high standards of code quality, documentation and reproducibility.
• Actively contribute to building a culture of Responsible AI, strong governance, and ethical AI practices.

People Capability Development

• Provide technical guidance, mentorship and coaching to Data Scientists and junior team members.
• Support the development of Data Science capability across the team through knowledge sharing and collaboration.
• Contribute to a culture of ownership, quality, learning and ethical AI use.

Teamwork

• Contribute to a highly collaborative team culture with openness, ownership, and accountability.
• Work closely with key business stakeholders to align analytical solutions to business objectives.

Domain Platform Expertise

You will bring:

• Strong experience in machine learning, time-series modelling and optimisation techniques.
• Proficiency in Python and SQL for data science and analytics.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.