Hello. We’re Haleon. A new world-leading consumer health company. Shaped by all who join us. Together, we’re improving everyday health for billions of people. By growing and innovating our global portfolio of category-leading brands – including Sensodyne, Panadol, Advil, Voltaren, Theraflu, Otrivin, and Centrum – through a unique combination of deep human understanding and trusted science. What’s more, we’re achieving it in a company that we’re in control of. In an environment that we’re co-creating. And a culture that’s uniquely ours. Care to join us. It isn’t a question.
With category leading brands such as Sensodyne, Voltaren and Centrum, built on trusted science and human understanding, and combined with our passion, knowledge and expertise, we’re uniquely placed to do this and to grow a strong, successful business.
This is a unique opportunity to join our high performing Data science team.
Hybrid working- min 2 days a week + onsite at London Bankside
Key Responsibilities
Participate in creating, evolving, and developing data science models for Marketing and Consumer Insights teams (Marketing Mix Modelling, Attribution Models, Personalisation, Digital and non-Digital marketing measurement etc)
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
Support the deployment of machine learning models on our infrastructure
Leverage third-party, syndicated and media data to provide insights on media effectiveness, creative effectiveness, promotions and pricing 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 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
Help building 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.
At least 2-5 years of 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 (e.g. LSTM, Markov-Chain Models etc)
Advanced understanding of Statistical/Probabilistic programming and Linear Algebra
Be proficient in (Python, 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)
Experience with Causal inference, Intervention analysis, Counterfactuals Estimation, Optimization and Scenarios simulation
Good 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
Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
Good communication skills including to non-technical audiences
Care to join us. Find out what life at Haleon is really like www.haleon.com/careers/
At Haleon we embrace our diverse workforce by creating an inclusive environment that celebrates our unique perspectives, generates curiosity to create unmatched understanding of each other, and promotes fair and equitable outcomes for everyone. We're striving to create a climate where we celebrate our diversity in all forms by treating each other with respect, listening to different viewpoints, supporting our communities, and creating a workplace where your authentic self belongs and thrives. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Haleon is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Accommodation Requests
If you require a reasonable 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 accommodations you are requesting. We’ll provide all reasonable accommodations to support you throughout the recruitment process and treat all information you provide us in confidence.
