Hybrid Data Scientist: Private Banking & Wealth Management

NatWest Group; Greater London; Hybrid; GBP 70.000 - 110.000; Vollzeit

Zusammenfassung

NatWest Group invites applications for a Data Scientist in PBWM to design and deploy data science tools that unlock customer-centric solutions at scale. You will partner with stakeholders to translate business needs into analytics and build end-to-end models and dashboards.

In a hybrid setup, you’ll work from home part of the week and visit London or Edinburgh offices at least twice weekly, employing Python, SQL and cloud technologies to deliver robust ML solutions while upholding governance and

Qualifikationen

• Evidence of project implementation in a data-analysis field within a multi-disciplinary team.
• Undergraduate or master’s degree in a quantitative discipline or equivalent practical experience.

Aufgaben

• Understand stakeholder requirements, build relationships, form hypotheses, and identify analytics solutions.
• Maintain and develop awareness of new data science trends, share updates within and beyond the team.
• Combine statistics, math, ML, and software engineering to compare solutions and algorithms.
• Implement ethically sound models end-to-end with a product development lens.
• Lead direct reports and wider teams in an Agile environment within multi-disciplinary data contexts.
• Translate business questions into analytics opportunities and define measurable questions.
• Select, build and test complex ML models with governance and ethics in mind.

Kenntnisse

Python

SQL

Machine Learning

Data Visualization

Statistics

Leadership

Communication

Cloud Computing

Gen AI

Self-management

Ausbildung

Bachelor's or Master's in a quantitative discipline

Tools

AWS

CI/CD

DevOps

Jobbeschreibung

NatWest Group invites applications for a Data Scientist in PBWM to design and deploy data science tools that unlock customer-centric solutions at scale. You will partner with stakeholders to translate business needs into analytics and build end-to-end models and dashboards.

In a hybrid setup, you’ll work from home part of the week and visit London or Edinburgh offices at least twice weekly, employing Python, SQL and cloud technologies to deliver robust ML solutions while upholding governance and