Senior Data Scientist
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Key skills for this role
Role Overview
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
Job Posting End Date
Key Skills for This Role
Full Job Posting
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
Job Posting End Date
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.
About Haleon
Haleon is a global consumer health company whose portfolio includes Sensodyne, Advil, Centrum, Panadol and Voltaren. Formed as an independent company in 2022 following its demerger from GSK, it develops products across oral health, vitamins and supplements, pain relief, respiratory health, digestive health and therapeutic skin health.
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