Data Scientist

HSBC
Kolkata
Full timeFunction: Data Science & Machine LearningSkills: []

Build and deliver data management services that help global business functions analyse, manipulate, and report data efficiently. Ensure master and meta-data are deployed consistently and devise compliant technical solution strategies. Lead transaction screening analysis and tuning aligned to group sanctions screening policies, manage end-to-end operating models and SOPs, and support initiatives to improve regional and global hit rates through strong data and GenAI/ML engineering capabilities.

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FursaFursa
HSBC
HSBC
2 weeks ago

Data Scientist

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and deliver data management services that help global business functions analyse, manipulate, and report data efficiently. Ensure master and meta-data are deployed consistently and devise compliant technical solution strategies. Lead transaction screening analysis and tuning aligned to group sanctions screening policies, manage end-to-end operating models and SOPs, and support initiatives to improve regional and global hit rates through strong data and GenAI/ML engineering capabilities.
Location: Kolkata
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Deliver data management services to global businesses and functions.
  • •Provide technical capabilities to analyse, manipulate, and report data efficiently.
  • •Ensure master and meta-data used by global businesses and functions is deployed consistently.
  • •Devise strategies for designing and delivering technical solutions compliant with data management regulation.
  • •Lead transaction screening analysis and tuning aligned to group sanctions screening policies.

Key Requirements

  • •Strong fundamentals in GenAI and Large Language Models, including transformers, tokenisation, prompting patterns, function calling, and common failure modes.
  • •Hands-on experience building RAG/agentic workflows with tool use, embeddings, vector databases, re-ranking, and evaluation-driven iteration.
  • •Deep understanding of classical machine learning, including supervised/unsupervised learning, feature engineering, model selection, and bias–variance trade-offs.
  • •Experience with MLOps/LLMOps: CI/CD pipelines, model registry, experiment tracking, automated testing, monitoring (drift, data quality), and safe rollout strategies.
  • •Data engineering competence including SQL, data modelling, ETL/ELT, large datasets with Spark/Databricks (or equivalent), and building reliable training/serving datasets.
Tech Stack:Transformer architecturesTokenisationPrompting patternsFunction callingHallucinationsGroundingRAGAgentic workflowsTool useEmbeddingsVector databasesRe-rankingEvaluationSupervised learningUnsupervised learningBias–variance trade-offsMLOpsLLMOpsCI/CDModel registry

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn