Senior Data Scientist

Overview

Senior Data Scientist in the Global Data Science team at Haleon, delivering advanced data science and AI solutions for performance, resilience and decision-making. Hands-on and delivery-focused, based in Bangalore and reporting to the Principal Data Science Lead.

What you'll do

• 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.
• Prepare, transform and validate large and complex datasets, partnering closely with Data Engineers to ensure data readiness and quality.
• 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.
• Support the full model lifecycle, including testing, validation, documentation and continuous improvement.
• Contribute to building scalable data science pipelines and production-ready software components.
• Explore and prototype new approaches, progressing viable solutions to scaled delivery.
• Apply emerging Data Science and AI techniques pragmatically, in line with Haleon's standards, governance and enterprise priorities.
• Work closely with Product Owners and cross-functional delivery teams to co-create AIML products.
• Contribute 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, including reusable AI foundations (e.g. forecasting, optimisation, segmentation, attribution, experimentation frameworks).
• 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.
• Provide technical guidance, mentorship and coaching to Data Scientists and junior team members.
• Work closely with key business stakeholders to align analytical solutions to business objectives.

What you'll need

• MSc, Engineering or PhD in Data Science, Computer Science, Applied Mathematics, Statistics or a related discipline.
• 6+ years' industry experience developing machine-learning models and analytical solutions.
• Strong experience in machine learning, time-series modelling and optimisation techniques.
• Strong foundation in statistical modelling, probabilistic methods and linear algebra.
• Experience with advanced time-series forecasting (e.g. ARIMA, ETS, Prophet), causal inference or optimisation techniques.
• Strong understanding of machine learning algorithms (e.g. Regression, Segmentation, Bagging, Boosting techniques, LSTM, Markov Chain models etc).
• Experience with intervention analysis, counterfactual estimation, and scenario simulation.
• Proficiency in Python and SQL for data science and analytics.
• Experience working with modern Data Science and ML frameworks (e.g. scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML).
• Practical knowledge of ML at scale, including working in cloud and big-data environments.
• Experience in applying software engineering practices including version control, modular design, automated testing, CI/CD and peer review.
• Proven ability to work independently while collaborating effectively in cross-functional teams.
• Strong communication skills, with the ability to explain analytical outcomes to non-technical audiences.
• Strong attention to detail and critical thinking skills.

Nice to have

• Exposure to Large Language Models (LLMs) and agentic AI approaches, including their practical application in enterprise use cases.

Details

• Location: Bangalore (Bengaluru Campus 31).
• Reports to the Principal Data Science Lead within the Data & AI Office.
• Job posting end date: 2026-10-26.