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