​Job title:Senior Data Scientist (Trading)

Location:London (Canary Wharf) – 3 days onsite per week (non-negotiable)

Rate:£700 per day (Inside IR35)

Length:Initial 6 months (strong likelihood of extension)

Summary

An immediate requirement for multiple Senior Data Scientists to support a large-scale trading environment within a complex, data-driven organisation. The role focuses on building and deploying scalable data science and machine learning solutions that deliver tangible business value. This is a hands-on position suited to experienced practitioners with strong engineering, statistical, and communication skills.

Responsibilities

• Design, develop, and productionise scalable data science and machine learning products

• Collaborate closely with data engineers, software engineers, and business stakeholders

• Apply strong statistical and machine learning foundations to solve real-world trading problems

• Perform in-depth data analysis to generate actionable business insights

• Work across the full data lifecycle, from discovery and prototyping through to deployment and maintenance

• Contribute to GenAI / LLM-based use cases, explaining solutions to both technical and non-technical audiences

• Write clean, well-documented, and testable code in complex environments

• Engage in technical discussions and reviews, maintaining a pragmatic and value-focused mindset

Desired Skills

• Strong development experience in Python and/or other object-oriented languages (e.g. Java)

• Excellent grounding in statistics, machine learning, and mathematical concepts

• Proven experience delivering production-grade data science solutions

• Hands-on experience with modern data science tooling, including LLMs / RAG approaches

• Advanced SQL skills

• Experience working in complex, enterprise-scale environments

• Strong written and verbal communication skills

• Ability to perform under technical interviews including live coding, OOP design, and SQL