Senior Data Scientist

This is an exciting opportunity 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.

• Developing, optimising and executing data science models in the space of integrated business planning (forecasting, scenario modelling and simulation, quantitative assessment, optimisation).
• 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 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 from different Teams to develop understanding of the broader business and Data context.

• 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 machine learning models and creating software pipelines for their execution.
• Experience with supply chain modelling and optimisation.
• Experience and strong understanding of machine learning algorithms, mathematical modelling and industrial applications of AI.
• Scientific mindset and ability to conceptualize, prototype and implement algorithms to solve complex business problems.
• Professional-level programming experience with (Python, R, SQL)
• Good working knowledge of cloud-based and local data science frameworks and environments.
• Strong experience with time series analysis, modelling and forecasting, hierarchical reconciliation.
• Initiative and ability to work independently and collaboratively within a cross-functional team
• Strong communication skills for technical and non-technical audiences.

• 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.

• 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.

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.

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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.

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