Senior Data Scientist

Haleon; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Haleon is seeking a world-class Data Scientist/ML Lead to join the Global AI & Data Science team in a pivotal role. You will build and deploy predictive models that inform marketing, commercial and digital initiatives, collaborating with data engineers and ML engineers to deliver high-impact solutions.

You will design datasets, implement robust metrics, and oversee model lifecycle, from training to redeployment, including responsible AI governance and scalable ML at scale.

Qualifications

• MS or PhD in Data Science or related field with strong modelling background.
• Experience building ML models and software pipelines to make predictions.
• Strong understanding of ML approaches and algorithms.
• Deep understanding of Statistical/Probabilistic programming and Linear Algebra.
• Be an expert in Python, R, SQL for DS and Time Series analysis.
• Understanding of statistical modelling/ML for time series forecasting.
• Experience with causal inference, optimization and scenario simulation.
• Proficiency with probabilistic programming and Bayesian methods.
• Experience with ML frameworks (scikit-learn, Pymc, TensorFlow, PyTorch, Keras).
• Experience coordinating projects across diverse teams.
• Excellent communication for non-technical audiences.

Responsibilities

• Create and evolve data science models for Marketing, Commercial and Digital.
• Work with product owners, data engineers and ML engineers to deliver data science solutions.
• Prepare datasets to train and validate machine learning models.
• Define metrics to evaluate model performance (CPU and memory usage and ML metrics).
• Support deployment of models including containerization and versioning.
• Manage lifecycle of models: monitoring, retraining and redeployments.
• Leverage external data to provide insights on promotions, pricing, distribution and digital shelfing.
• Drive marketing automation, audience targeting and campaign optimization.
• Conceive and implement statistical models and A/B tests to measure impact.

Skills

Python

R

SQL

Time Series

Statistical Modeling

Bayesian Methods

ML Frameworks

Databricks ML

Keras

Communication

Education

MS/PhD in Data Science

Tools

scikit-learn

Pymc

TensorFlow

PyTorch

Databricks ML

Keras

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

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

2026-09-27

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.