Senior Data Scientist

Barclays

London, United Kingdom
Statistical analysis and modelling proficiency
Python programming for data science
Sql and pyspark for large dataset querying
The role involves using innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves

Job Summary

  • The role involves using innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves.
  • Candidates will develop and maintain efficient data pipelines while designing statistical models to forecast future outcomes and identify risks.
  • The position requires collaborating with business stakeholders to drive strategic decision-making and operational efficiency across the organization.

Matching Summary

The role involves using innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves.

Skills & Requirements

Must-have

  • Statistical analysis and modelling proficiency
  • Python programming for data science
  • SQL and Pyspark for large dataset querying

Nice-to-have

  • Machine learning and AI algorithm expertise
  • Financial domain knowledge and risk frameworks
  • Data visualization and storytelling skills

Key Requirements

  • Experience with Python coding and codebases
  • Proficiency in SQL or Pyspark for data manipulation
  • Background in statistical modeling and predictive analytics

Work Rights

Not specified

Tailored Resume

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