Senior Data Scientist

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

This is an exciting opportunity is to join our Global AI & Data Science team. AI, Data Science and Machine learning are critical elements of our digital strategy. We are investing to build best in class data science capabilities, so our AI solutions deliver impact and meet our Responsible AI requirement

Key Responsibilities

• Participate in creating, evolving, and developing data science models for Marketing, Commercial and Digital

• Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science powered solutions to interesting problems

• Help prepare datasets to train and validate machine learning models

• Define and implement metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance

• Support the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning

• Manage the whole lifecycle of our machine learning models, including monitoring, gathering data for retraining, and redeployments

• Leverage third-party and syndicated data to provide value-added learnings on trade promotions, pricing, distribution, and digital shelving to key stakeholders and specifically for joint business operations

• Drive marketing automation, e.g. audience targeting and profiling, content production, digital marketing campaigns optimization…

• Conceive and implement statistical models and Multi-Variate Tests to measure the impact of business decisions and market disruptions to surface empirical insights
  

Teamwork

• Contribute to a highly collaborative team with a culture of openness and ownership.

• Work closely with key stakeholders and influence them of on business objectives.

• Enable collaboration by contributing to the development of our AI foundations and reusable assets for Forecasting, Optimization, Segmentation, Attribution Models and Experimentation.

• Perform code reviews and ensure exceptional code quality

• Manage & mentor junior data scientists & apprentices

• Build a culture of responsible AI, good governance, and ethics
  

Qualifications & Skills

• MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.

• Extensive industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models

• Strong understanding of machine learning approaches and algorithms

• Deep understanding of Statistical/Probabilistic programming and Linear Algebra

• Be an expert in (Python, R, SQL) programming for Data Science and Time Series analysis

• Have in depth understanding of statistical modelling / ML techniques for time series forecasting (ARIMA, ETS, Prophet, Time Series pattern detection, and ML methods)

• Strong experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation

• Solid experience with Probabilistic Programming and Bayesian Methods

• Experience using machine learning frameworks such as scikit-learn, Pymc, TensorFlow, PyTorch, Databricks ML, Keras etc…, Experience with ML at scale

• Experience coordinating projects across diverse teams.

• Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team

• Strong communication skills including to non-technical audiences
  

Job Posting End Date

2026-11-03

Equal Opportunities

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