Haleon→
Senior Data Scientist at Haleon in Karnataka, IN
Skills
Job Description
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 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.
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.
Qualifications and skills
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 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.
Good to have exposure to Large Language Models (LLMs) and agentic AI approaches, including their practical application in enterprise use cases.
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.
Job Posting End Date
2026-10-26
Equal Opportunities
Haleon are committed to mobilising our purpose in a way that represents the diverse consumers and communities who rely on our brands every day. It guides us in creating an inclusive culture, where different backgrounds and views are valued and respected – all in support of understanding and best serving the needs of our consumers and unleashing the full potential of our people. It’s important to us that Haleon is a place where all our employees feel they truly belong.
During the application process, we may ask you to share some personal information, which is entirely voluntary. This information ensures we meet certain regulatory and reporting obligations and supports the development, refinement, and execution of our inclusion and belonging programmes that are open to all Haleon employees.
The personal information you provide will be kept confidential, used only for legitimate business purposes, and will never be used in making any employment decisions, including hiring decisions.
Adjustment or Accommodations Request
If you require a reasonable adjustment or accommodation or other assistance to apply for a job at Haleon at any stage of the application process, please let your recruiter know by providing them with a description of specific adjustments you are requesting. We’ll provide all reasonable adjustments to support you throughout the recruitment process and treat all information you provide us in confidence.
Note to candidates
The Haleon recruitment team will contact you using a Haleon email account (@haleon.com). If you are not sure whether the email you received is from Haleon, please get in touch.