{"id":3860615,"url":"https://alion.io/job/hsbc-data-engineering-intern","title":"Data Engineering Intern","company":{"id":19779,"name":"HSBC","domain":"hsbc.com","url":"https://alion.io/company/hsbc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":100,"open_postings":56,"ghost_share":0,"stale_share":0.054,"repost_share":0.143,"time_to_fill_p50_days":14,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guangzhou, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-05T06:06:01Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T17:51:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Some careers have more impact than others.\nIf you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.\nWe are currently seeking an experienced professional to join our team in the role of Data Engineering Intern .\nBusiness: Chief AI Office\nPrincipal responsibilities\nReview relevant literature and emerging approaches in event extraction, knowledge graphs, and event-enhanced financial analytics;\nSupport prototype development for event representation, event-to-product exposure scoring, and reverse lookup from events to potentially affected customers;\nExplore methods for connecting events to financial products and customer portfolios;\nDesign and run experiments using synthetic customer profiles, event references, and consistency checks to validate proposed methods;\nDocument findings, technical approaches, and evaluation results for project review;\nCollaborate closely with researchers, engineers, and business stakeholders to iterate on methods and prototypes.\nRequirements\nCurrent student or recent graduate in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Financial Engineering, Economics, or related fields;\nStrong interest in NLP, machine learning, knowledge graphs, event analytics, or financial intelligence;\nFamiliarity with Python and common data analysis libraries; SQL experience preferred;\nExperience with one or more of the following is a plus:Event extraction / topic detection / text mining\nKnowledge graph construction and querying\nGraph analytics / graph neural networks\nFinancial text analysis / product exposure analysis\nML model development and evaluation\n\nGood analytical thinking, research capability, and communication skills;\nAbility to work in a team and contribute to project execution.\nYou’ll achieve more when you join HSBC.\nHSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. 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