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CRU International Logo CRU International · IT - Software Development

Senior Data Scientist - GenAI & ML

United Kingdom, London · Job Posted June 09, 2026
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Job Description

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions.

Job Responsibility

  • Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI
  • Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies
  • Develop robust, scalable, production-grade Python code
  • Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes
  • Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration
  • Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions
  • Mentor team members and contribute to raising standards for technical execution and delivery discipline
  • Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services

Requirements

  • MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar
  • Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy
  • 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field
  • Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring
  • Strong exposure to time-series forecasting or commodity data
  • Creative thinker with a robust approach to data and modelling
  • Hands-on experience working with machine learning and LLMs
  • Hands-on experience building AI applications beyond simple chatbot interfaces
  • Goal-oriented, with a high level of energy and enthusiasm
  • able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment
  • Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data
  • Creative application of first principles to problems, with an awareness of business time constraints
  • Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry
  • Lead by example in work ethic and commitment to exceeding client expectations
  • Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent
  • Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change
  • Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure
  • Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools

What we offer

  • Competitive salary and flexible benefits package
  • Opportunities for professional growth and development as part of a global company
  • A collaborative and supportive work environment
  • The chance to work with industry-leading experts and over a diverse range of topics and projects
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