3 of 3 Decision Science Jobs in Central London

North London (2 days per week) Company: Join the UK’s leading provider of family seaside breaks, with over 40 award-winning holiday locations. You will join a Data Science team that’s helping shape the future of holidays, from optimising guest experiences and pricing strategies to streamlining operations and personalising marketing. Responsibilities: Apply traditional statistical techniques and mathematical … concepts to business problems. Build and maintain advanced decision science algorithms and tools. Present data insights to stakeholders in a clear and concise manner. Stay up to date with the latest industry trends and technologies. Contribute to analytics innovation and integration within the organisation. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics … or related fields. Strong coding skills in Python and SQL Experience in automation and optimisation/pricing-related projects A generalist data science background, comfortable working across different domains and problem types Strong commercial acumen **Please note that this role does not offer visa sponsorship** How to Apply: Please register your interest by sending your CV to Emily Burgess More ❯

Lead Decision/Data Scientist – Credit London, UK – Hybrid Up to £100,000 + Benefits About the Company We are working with a fast-growing fintech scaleup, who are on a mission to reshape access to financial services across underserved markets. With a strong focus on innovation, collaboration, and data-driven decision-making, the company is … a Lead Decision Scientist, to lead the development, deployment, and ongoing optimisation of credit risk models. This is a high-impact position at the intersection of data science, risk, and business strategy. You’ll drive lending strategy, own the end-to-end modeling lifecycle, and guide a growing team of analysts as we scale. This role is … for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation More ❯

key stakeholders to align data-driven decisions with business goals. YOUR SKILLS AND EXPERIENCE 5–7 years of experience in a consumer credit environment, particularly in decision science or data science. Strong technical skills in Python (including libraries like scikit-learn, XGBoost, LightGBM). Experience working with transactional data and credit bureau sources. Familiarity with model monitoring More ❯