Data Scientist

We're looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning models that power advanced analytics. You'll work across a multidisciplinary team to deliver scalable, interpretable solutions using Python and robust modelling techniques. Client Details Our client is a globally recognised provider of independent market intelligence, delivering data-driven insights and forecasts across countries, industries, and risk domains. They partner with leading organisations worldwide to support strategic decision-making in complex and evolving markets. Description • Develop and deploy production-level code and scalable data pipelines • Build and optimise statistical and machine learning models for risk and analytics use cases • Work extensively in Python to analyse large, complex datasets • Extract insights from both structured and unstructured data, including NLP applications • Collaborate with economists, analysts, and engineers to translate research into technical solutions • Clearly communicate model outputs and methodologies to non-technical stakeholders • Contribute to the evolution of modelling frameworks, including advanced analytics and AI approaches Profile • Proven experience writing production-quality code (not just prototyping) • Strong proficiency in Python and relevant data science libraries • Solid background in statistical modelling and machine learning • Experience working with large datasets (data wrangling, analysis, and validation) • Understanding of software engineering best practices (version control, testing, maintainability) • Ability to translate business or research problems into scalable analytical solutions • Strong communication skills, with the ability to engage cross-functional stakeholders • Exposure to NLP, text analytics, or risk modelling is advantageous Job Offer • 6-month contract with strong potential for extension • 2-3 days per week in the London office (hybrid working) • Competitive day rate (outside IR35) • Opportunity to work on high-impact, real-world problems • Collaborative, intellectually stimulating environment with strong learning opportunities