Senior data scientist
role purpose:
the data science & engineering teams in the wholesale chief data and analytics office are working to deliver an ecosystem of curated, enriched, and protected data sets—created from global, raw, structured, and unstructured sources. Our wholesale big data lake is the largest aggregation of data within hsbc, with over 300 sources and more than 20ptb of data, supporting over 110 projects across all wholesale business lines.
we utilize the latest machine learning tools and technologies to solve hypotheses, deliver value, and generate unique insights. Our data analytics ecosystem addresses complex problems with cutting-edge technologies, enabling rapid implementation of data-driven insights to support informed decision-making. We deploy intelligent machines to process large and complex data sets, surpassing traditional manual methods. Data underpins our activities, from risk and regulatory management to monetization and client behavior prediction.
role purpose:
reporting to the analytics head based in london or hong kong and falling under the wider chief data and analytics office (cdao) framework, this position is responsible for delivering high-quality analytics and machine learning models that drive insights and foster a data-driven culture emphasizing decision intelligence.
main activities:
* deliver machine learning, generative ai, or advanced analytics use cases that contribute to business kpis and empower the frontline.
* build reusable and robust infrastructure to reduce technical debt and promote engineering and scientific best practices.
* collaborate with leadership to ensure models align with strategic business goals.
* understand and gather project requirements, present analyses/results, and make strategic recommendations.
* promote the use of data science to support fact-based decision-making within cib.
experience:
* experience managing end-to-end solutions and mentoring or managing junior data scientists.
* proficiency with python and machine learning libraries such as scikit-learn, tensorflow, pytorch, and pytorch geometric.
* experience with deploying machine learning models and related infrastructure.
* relevant academic qualifications (phd) in mathematics, statistics, physics, or computer science.
* experience presenting complex data science techniques to diverse audiences.
* fluent in english.
* strong research orientation, with a deep understanding of machine learning theory and mathematical frameworks.
* team-oriented with experience working in agile environments.
* potential to lead technical aspects within a specialized team segment.
* passionate about data, with strong statistical knowledge and programming skills.
seniority level
* executive
employment type
* full-time
job function
* quality assurance
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