Data Scientist

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Data Scientist

In this role, you will:

• Take measures to provide delivery of Data Management services to the Global Businesses and Functions
• Enable Global Businesses & Functions with technical capabilities to analyse, manipulate and report data efficiently.
• Responsible for ensuring that master and meta-data used by the Global Businesses & Functions is deployed consistently.
• Devise strategies for the design and delivery of technical solutions compliant with data management regulation.
• Lead transaction screening analysis and tuning function in line with group sanctions screening policies.
• Understand the end-to-end operating model, including system interaction maintain SOPs to effectively manage the tuning process across all LOB’s & products (Payments/Trade/Securities).
• Enable and guide the Line management in initiatives for improving Regional & Global hit rates.

To be successful you will:

• GenAI & Larege Language Models fundamentals: strong grasp of transformer architectures, tokenisation, prompting patterns, function calling, and common failure modes (hallucinations, grounding, context limits).
• Larege Language Models app engineering: hands-on building RAG/agentic workflows, tool use, embeddings, vector databases, re-ranking, and evaluation-driven iteration.
• Classical Machine Learning depth: supervised/unsupervised learning, feature engineering, model selection, bias–variance trade-offs, and solid intuition for when simpler models beat deep learning.
• MLOps / LLMOps: reproducible pipelines (CI/CD), model registry, experiment tracking, automated testing, monitoring (drift, data quality), and safe rollout strategies.
• Data engineering competence: SQL mastery, data modelling, ETL/ELT, working with large datasets (Spark/Databricks or equivalent), and building reliable training/serving datasets.
• Python + core libraries: strong Python (clean code, packaging), plus practical experience with PyTorch/TensorFlow, scikit-learn, Hugging Face ecosystem, and API integration.
• Evaluation & metrics: design of offline/online evaluation, A/B testing, LLM-specific evals (factuality/groundedness, toxicity, retrieval quality), and error analysis.

You’ll achieve more at HSBC

Hsbc.Com/Careers

HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

***Issued By HSBC Electronic Data Processing (India) Private LTD***