Data Scientist at Barclays | GB | Rezi

Data Scientist at Barclays

Data Scientist

Barclays · GB

1 months ago

Data Scientist

Barclays · GB

a month ago
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About the Role

Join the Corporate Bank as a Data Scientist to drive innovation and deliver commercial value by leveraging Machine Learning and Generative AI. You will collaborate with business stakeholders to shape projects, prototype solutions using a design-led approach, and extract insights from extensive datasets to deliver tangible business impact.

Responsibilities

  • Identify, collect, and extract data from internal and external sources.
  • Perform data cleaning, wrangling, and transformation to ensure quality.
  • Develop and maintain efficient data pipelines for automated acquisition and processing.
  • Design and conduct statistical and machine learning models to analyze patterns and trends.
  • Implement predictive models to forecast outcomes and identify risks and opportunities.
  • Collaborate with business stakeholders to identify value-add opportunities through Data Science.
  • Lead and supervise a team, guiding professional development and allocating resources.
  • Manage risk and strengthen controls related to assigned work.
  • Escalate policy or procedure breaches appropriately.
  • Advise and influence decision-making within area of expertise.
  • Communicate complex or sensitive information to stakeholders.

Requirements

  • Bachelor’s or Master’s degree in Data Science or equivalent commercial experience.
  • Experience delivering ideas from inception to production with stakeholders.
  • Hands-on experience with Machine Learning techniques including clustering, classification, regression, and NLP.
  • Proficient coding skills in Python and SQL.
  • Ability to write modular, production-ready code following good development practices.
  • Familiarity with AWS data science and AI services such as SageMaker and Bedrock.
  • Understanding of Generative AI, LLMs, and RAG frameworks.
  • Competence in data visualization tools.
  • Knowledge of code management practices.
  • Proactive, self-motivated approach to learning.

Skills

  • Python
  • SQL
  • Machine Learning
  • NLP
  • Clustering
  • Classification
  • Regression
  • AWS SageMaker
  • AWS Bedrock
  • Generative AI
  • LLMs
  • RAG frameworks
  • Tableau
  • QlikView
  • Power BI
  • PySpark
  • Angular
  • React
  • Flask
  • Streamlit
  • MVC architecture
  • Agentic AI
  • Applied statistics
  • Deep learning

Location

  • Glasgow
  • London

Education Level

  • Bachelor’s degree in Data Science or similar
  • Master’s degree in Data Science or similar

About the Company

  • Barclays is a financial institution committed to values of Respect, Integrity, Service, Excellence, and Stewardship.
  • The company culture emphasizes empowerment, challenge, and drive.