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Data Scientist

https://www.hsbc.com Logo

HSBC

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Location:
India, Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

HSBC is one of the largest banking and financial services organizations 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 realize their ambitions.

Job Responsibility:

  • Build, test, and deploy machine learning models for predictive and prescriptive analytics
  • Strong proficiency in Python and its data science libraries
  • Hands-on experience with machine learning frameworks
  • Solid understanding of statistical analysis, probability, and hypothesis testing
  • Experience with data visualization tools (e.g., Tableau, Power BI, or Python-based tools)
  • Proficiency in working with databases (SQL and NoSQL) and querying large datasets

Requirements:

  • Bachelor’s degree in computer science engineering or related field
  • 12+ years of experience in IT
  • Build, test, and deploy machine learning models for predictive and prescriptive analytics
  • Proficiency in working with databases (SQL and NoSQL) and querying large datasets
  • Familiarity with data preprocessing techniques, feature engineering, and model evaluation
  • Strong problem-solving skills and the ability to work with unstructured data
  • Excellent communication skills to convey technical concepts to non-technical stakeholders
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their data services
  • Familiarity with APIs and integrating machine learning models into production systems
  • Experience with time-series analysis, natural language processing (NLP), or computer vision
  • Knowledge of DevOps/MLOps practices for deploying and monitoring models
What we offer:
  • Continuous professional development
  • Flexible working
  • Opportunities to grow within an inclusive and diverse environment

Additional Information:

Job Posted:
June 12, 2025

Expiration:
June 15, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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