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Haleon

Global consumer health care products company

Principal Data Scientist

Applied Machine LearningUpdated on Nov 4
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A master's 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 developing machine learning models and creating software pipelines to build those models and make predictions.
  • Strong understanding of machine learning approaches and algorithms.
  • Deep understanding of statistical and probabilistic programming and linear algebra.
  • Expertise in Python, R, and SQL programming for data science and time series analysis.
  • In-depth understanding of statistical modelling and machine learning techniques for time series forecasting, including ARIMA, ETS, Prophet, time series pattern detection, and machine learning methods.
  • Strong experience with causal inference, intervention analysis, counterfactual estimation, optimization, and scenario simulation.
  • Solid experience with probabilistic programming and Bayesian methods.
  • Experience using machine learning frameworks such as scikit-learn, PyMC, TensorFlow, PyTorch, Databricks ML, and Keras, and experience with machine learning at scale.
  • Experience coordinating projects across diverse teams.
  • Ability to work independently and collaboratively within a cross-functional team.

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 data-science-powered solutions.
  • Help prepare datasets to train and validate machine learning models.
  • Define and implement metrics to evaluate model performance, including computing performance such as CPU and memory usage and machine learning performance.
  • Support the deployment of machine learning models on the organization’s infrastructure, including containerization, instrumentation, and versioning.
  • Manage the full lifecycle of machine learning models, including monitoring, gathering data for retraining, and redeployment.
  • Leverage third-party and syndicated data to develop insights on trade promotions, pricing, distribution, and digital shelving for key stakeholders and joint business operations.
  • Drive marketing automation, including audience targeting and profiling, content production, and digital marketing campaign optimization.
  • Conceive and implement statistical models and multivariate tests to measure the impact of business decisions and market disruptions and surface empirical insights.
  • Contribute to the development of AI foundations and reusable assets for forecasting, optimization, segmentation, attribution models, and experimentation.
  • Perform code reviews and ensure high code quality.
  • Manage and mentor junior data scientists and apprentices.
  • Build a culture of responsible AI, good governance, and ethics.

About the Company

Haleon

Global consumer health care products company

Haleon is a global consumer health company that develops and sells everyday health products under brands such as Sensodyne, Advil, and Centrum. Its products address oral care, pain relief, immunity, and general well-being, working through science-backed formulations people use daily. Haleon differentiates itself by being a focused, standalone consumer health business formed from GSK’s spin-off and built from leading brands through major acquisitions, operating at scale with a portfolio of category leaders and competing with peers like Kenvue and Procter & Gamble. Its goal is to help people take control of their daily health with trusted products, while expanding its global reach and investing in manufacturing capacity and brand development.

Company size
10,001+
Company stage
IPO
Headquarters
Weybridge, United Kingdom
Founded
2022

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