About the role
This is an exciting opportunity is 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
Essential
Will have 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
Have a 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
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.
As you apply, we will ask you to share some personal information, which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
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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