London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratoryanalysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯
Solihull, England, United Kingdom Hybrid / WFH Options
BNP Paribas Personal Finance
compliance. Key Responsibilities: Develop, implement and continuously enhance credit risk strategies across scorecards, policy rules, pricing, limits management and affordability models to optimise risk-reward outcomes. Conduct in-depth exploratoryanalysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through advanced analytics and statistical … Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate data insights into actionable business More ❯
Egham, Surrey, England, United Kingdom Hybrid / WFH Options
Cedar
learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratoryanalysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and … scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree More ❯
bradford, yorkshire and the humber, united kingdom
Harnham
optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science More ❯
world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratoryanalysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for: 3-5+ years More ❯
world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratoryanalysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for: 3-5+ years More ❯
optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science More ❯