Data Scientist at Haleon – London Bankside, United Kingdom
About the role
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 as, and we are investing to build best in class data science capabilities so our AI solutions deliver impact and meet our Responsible AI requirements.
Key Responsibilities
- Contribute to all aspects of the Data Science Project Lifecycle, from scoping to research to development to scalable operation.
- Coordinate and manage competing priorities across Haleon’s portfolio of Commercial AI projects with focus on Net Revenue Management.
- Work with Senior Data Scientists and product teams on the development of data science products to solve business problems.
- Deliver Responsible AI at scale with best-in-class implementation of model explainability, reliability, security, documentation and bias mitigation in line with Haleon’s Responsible AI policy and standards.
- Research cutting-edge techniques and tools to ensure Haleon’s data science solutions are competitive.
- Motivate & coach colleagues, including apprentices and early talent within the Data Science team to help them develop technical excellence.
Qualifications and Skills
- 4-5 years’ experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems.
- Can coordinate and manage competing priorities across a portfolio of projects.
- Compile, integrate, and analyse data from multiple sources to answer business questions.
- Experience communicating advanced data science concepts to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption.
- Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms.
- Proficient in Python.
- Deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.).
- Good knowledge in mining large & complex data sets using SQL and Spark.
Preferred
- Will be curious, enjoy problem solving and have empathy for the problems you are challenged with.
- Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.).
- Experience with Git, Databricks and Microsoft Azure technical stack.
- Prior exposure to Agile methodologies.
- Experience building large scale machine learning systems.
- Master’s Degree in Computer Science, Data Science, Mathematics, Physics or equivalent.
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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