Data Scientist
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
Contact
Email: Harry@paritasrecruitment.com
Mobile (WhatsApp message):+44 7702 946 250