Senior Data Scientist & Automation Lead - AI in Compliance

State Street Corporation; England; On-site; GBP 90,000 - 130,000; Full time

Job summary

State Street Corporation is hiring a Senior Data Scientist to drive vulnerability remediation governance using AI and cloud-based solutions. You will develop data-centric modelling, production-grade data science products, and scalable decision-support tools across global teams.

You will work with cross-functional stakeholders to translate business needs into analytic solutions, leveraging Python, ML, and data engineering with modern cloud tooling.

Qualifications

• 4-6 years working on production ML or optimisation software at scale (required)
• Experience in customer-facing environments is desirable
• Experience in developing industrialized software, especially data science or ML software products
• Experience in the finance and banking sector is preferred

Responsibilities

• Acquire data for vulnerability remediation and build usable data sets for modelling
• Evaluate models, drive best practices, and develop scalable operational models
• Write extensible code spanning multiple features and debugging techniques
• Define strategy goals and partner with teams to explore opportunities
• Act as technical owner of production-grade data science product codebases
• Lead end-to-end delivery of decision-support software across the product lifecycle
• Communicate modelling approaches and results clearly to technical and business audiences
• Mentor junior team members and support agile practices

Skills

Machine Learning

Python

SQL

Data Engineering

Cloud platforms

CI/CD

Education

Bachelor's or Master's in a quantitative field

Tools

Power BI

Tableau

Git

Job description

State Street Corporation is hiring a Senior Data Scientist to drive vulnerability remediation governance using AI and cloud-based solutions. You will develop data-centric modelling, production-grade data science products, and scalable decision-support tools across global teams.

You will work with cross-functional stakeholders to translate business needs into analytic solutions, leveraging Python, ML, and data engineering with modern cloud tooling.