Senior Data Scientist - GenAI ML, London

Role overview

Responsibilities

• check_circle Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI.
• check_circle Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies.
• check_circle Develop robust, scalable, production-grade Python code.
• check_circle Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes.
• check_circle Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration.
• check_circle Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions.
• check_circle Mentor team members and contribute to raising standards for technical execution and delivery discipline.
• check_circle 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.
• check_circle MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar.
• check_circle Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy.
• check_circle 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field.
• check_circle Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring.
• check_circle Strong exposure to time-series forecasting or commodity data.
• check_circle Creative thinker with a robust approach to data and modelling.
• check_circle Hands-on experience working with machine learning and LLMs.
• check_circle Hands-on experience building AI applications beyond simple chatbot interfaces.
• check_circle 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.
• check_circle Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data.
• check_circle Creative application of first principles to problems, with an awareness of business time constraints.
• check_circle Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry.
• check_circle Lead by example in work ethic and commitment to exceeding client expectations.
• check_circle Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent.
• check_circle Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change.
• check_circle Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure.
• check_circle Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools.

Benefits

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

About the company