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Senior Data Scientist @ Bank

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 Senior Data Scientist

Job Description

Role & responsibilities

  • Collaborate with business areas within Asset Management to identify opportunities for enhancing commercial performance and operational efficiency using Analytics and Data Science.
  • Engage with the Data Architecture function to ensure optimal data sources are used in your analytics and data science projects.
  • Design and implement data engineering pipelines for data retrieval and transformation.
  • Create insightful visualisations to share the findings from your analytical work with stakeholders.
  • Develop Artificial Intelligence / Machine Learning models to address different business problems ranging from client retention, risk monitoring, and global portfolio management tasks.

Act as a champion for data science, guiding business users and other analysts on analytical techniques, tools, and technologies.


Preferred candidate profile

  • Proficiency in Python, PySpark, R, and SQL programming languages.
  • Knowledge of visualisation tools like Tableau (preferred), Qlik, or Power BI.
  • Hands-on experience with Machine Learning using platforms like Jupyter Notebooks.
  • Experience with cloud service providers like Google Cloud, AWS, and Microsoft Azure.
  • Strong analytical skills, with an ability to bring structure and clarity to poorly-defined problems.
  • Stellar interpersonal skills, with an ability to develop strong relationships with stakeholders.

Job Classification

Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Bank
Location(s): Bengaluru

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Keyskills:   Python Data Science PySpark

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₹ 6-16 Lacs P.A

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