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 is a critical part of our strategy and we are investing to build best in class data science capabilities, so our AI solutions deliver impact and meet our Responsible AI requirements.
Key Responsibilities of the role
· Developing, deploying and executing data science models, adapting and applying optimisation algorithms across different business domains (supply chain optimisation, marketing and commercial investment, portfolio optimisation etc).
· Contribute to the creation of foundational enterprise assets for optimisation and scenario simulation.
· Work closely with product owners, data engineers and machine learning engineers to deliver high quality data science solutions for a set of relevant industrial problems.
· Work on a variety of datasets to train and validate mathematical and machine learning models.
· Define and implement metrics to evaluate the functional performance, and the computational resource efficiency of ML and AI components.
· Support the deployment of ML solutions on the enterprise infrastructure, in line with ML engineering standards and best practices (version control, testing, deployment, maintenance).
· Manage the whole lifecycle DS/ML models, monitoring, gathering data for retraining, and update.
· Potentially leverage external data to boost model performance.
· Perform code reviews and ensure excellent code quality.
· Collaborate with colleagues in the Data Science team to develop technical excellence. Collaborate with squad members form different Teams to develop understanding of the broader business and Data context.
Essential Qualifications & Skills
- MSc or PhD degree in mathematics, computer science, statistics, physics, engineering, or another scientific discipline that provides solid foundations on relevant aspects of Data Science.
- 3-5 years of industry experience with developing mathematical and machine learning models and creating software pipelines for their execution.
- Direct experience and deep understanding of optimisation methods and techniques (linear, integer and mixed-integer programming, heuristic search methods for highly constrained optimisation problems)
- Experience and strong understanding of machine learning algorithms, mathematical modelling and industrial applications of AI.
- Professional-level programming experience with (Python, R, SQL)
- Scientific mindset and ability to conceptualise, prototype and implement algorithms to solve complex business problems.
- Good working knowledge of cloud-based and local data science frameworks and environments (Databricks, Azure etc).
- Initiative and ability to work independently and collaboratively within a cross-functional team
- Strong communication skills for technical and non-technical audiences.
Desirable Qualifications & Skills
- Experience with supply chain modelling and optimisation.
- Experience with process mining, process optimisation, optimal control, reinforcement learning, multi-objective optimisation, deep learning.
- Experience with leading data science projects.
- Experience with the Microsoft Azure tech stack, AzureML, BigQuery and Scala.
- Exposure to Agile.
People and Team management
- Contribute to a highly collaborative team with a culture of ownership, initiative and responsibility.
- Work closely with key stakeholders to determine business objectives.
- Contribute to the development of our Team’s data science toolbox of reusable DS, ML, and AI assets.
- Motivate, coach, mentor colleagues within the Data Science Team to develop technical excellence.
- Proactive engagement in personal development and development of the direct reports.
Job Posting End Date
2025-12-09
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.
