Senior data scientistrole purpose:the data science & engineering teams in the wholesale chief data and analytics office is working to deliver an ecosystem of curated, enriched and protected sets of data – created from global, raw, structured and unstructured sources. Our wholesale big data lake is the largest aggregation of data ever within hsbc. We have over 300 sources which equate to more than 20ptb of data, with a use case portfolio of over 110 projects that span all the business lines within wholesale.we are utilising the latest machine learning tools and technologies to solve these hypotheses and deliver value and truly unique insights. Our data analytics ecosystem solves complex problems using cutting-edge technologies; helping to rapidly implement insights from data that can help drive more informed decision making. We deploy smart machines to process complex and large sets of data, impossible in the legacy manual mining methods. Data underpins everything we do; from risk & regulatory management, through monetisation, to predicting client behaviour. Role purpose reporting to the analytics head based in london/hk which falls under the wider remit of the chief data and analytics office (cdao) framework, this is a position responsible for delivery of quality analytics and machine learning based models that will help drive insights and lay the foundation for a data driven culture that promotes decision intelligence.main activities:delivering machine learning, generative ai or advanced analytics-based use cases that contribute to the business kpis and help empower the frontline.build re-usable & robust infrastructures that help reduce overall technical debt and promote engineering and scientific best practices across the team.work with the leadership team to ensure that the existing models are in line with the business identified strategic deliverables.understand and collect project requirements, present analysis and/or results. Make recommendations based on them about strategy formulation and solicit project feedback.advocate and promote the use of data science to drive fact-based activity and in cib.experienceexperience running an end-to-end solution and mentoring/managing junior data scientists.proficiency with python and its machine learning toolkit along with data science frameworks (i.e. scikit learn, tensorflow, pytorch, pytorch geometric, etc.).proficiency/experience with machine learning deployment strategies and infrastructure.relevant academic qualifications in mathematics, statistics, physics or computer science (phd)significant experience in presenting complex data science techniques to wide-ranging audiences.advance english.competencies:committed researchers. Our markets and client needs are constantly changing. Analytical thinker. You’ll gain a deep understanding of the theoretical grounds of machine learning and mathematical framework.team player. You will learn to collaborate, share and coordinate with others using agile and other frameworks.leader. You might become the technical leader of a small pod within the team which focuses on a particular area of cib.data enthusiast. This role will develop your statistical knowledge, passion for data or any programming skills you may already hold.