Senior Data Scientist
Haleon · London
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