Data Scientist, PBWM: AI & Analytics, Hybrid

RBS

Greater London

Híbrido

GBP 70.000 - 110.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

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Benefícios oferecidos por esta vaga

Hybrid work model
Office in London/Edinburgh

Resumo da vaga

RBS in London/Edinburgh is seeking a Data Scientist for PBWM to design and implement data science tools that unlock customer solutions.

You will work with business stakeholders, develop analytics solutions, and lead multi-disciplinary teams in an Agile environment, applying ML models end-to-end with governance and ethics considerations. Hybrid work with in-office days is offered. You’ll translate business questions into data-driven decisions and help scale AI products across the organization.

Qualificações

  • Bachelor's or master's in a quantitative field or equivalent practical experience.
  • Experience with statistical software, databases, big data and cloud environments.
  • Experience with ML/AI product life cycle from concept to production.
  • Ability to lead, teach others and communicate with non-technical stakeholders.

Responsabilidades

  • Understand business needs and translate into analytics solutions.
  • Develop and deploy data science tools and methods.
  • Work in Agile multi-disciplinary teams.
  • Collaborate with stakeholders to define questions and opportunities.
  • Develop and test complex ML models with governance and ethics.

Conhecimentos

Python
SQL
ML
Machine Learning
Cloud AWS
CI/CD
Statistical Modeling
Leadership
Data Visualization
Stakeholder mgmt

Formação

Quantitative degree (BSc/MSc)

Ferramentas

GenAI tools

Descrição da vaga

RBS in London/Edinburgh is seeking a Data Scientist for PBWM to design and implement data science tools that unlock customer solutions.

You will work with business stakeholders, develop analytics solutions, and lead multi-disciplinary teams in an Agile environment, applying ML models end-to-end with governance and ethics considerations. Hybrid work with in-office days is offered. You’ll translate business questions into data-driven decisions and help scale AI products across the organization.

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