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Data Scientist

Natwest · 16 days ago
Edinburgh
Negotiable
Full-time
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Join us as a Data ScientistIn this role, you\'ll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading customer solutionsDay-to-day, you\'ll provide your specialist expertise alongside predictive and historical financial modelling to inform decisions across pricing, price elasticity, credit cut off and risk appetiteIf you\'re ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for youWhat you\'ll doWe\'re looking for someone to understand the requirements and needs of our business stakeholders. You\'ll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy.Your daily responsibilities will include you using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics. You\'ll also build financial models to support pricing decisions.You\'ll also be responsible for:Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithmsImplementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problemsWorking with the wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomesUsing your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analyticsSelecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale modelsThe skills you\'ll needTo be successful in this role, you\'ll need knowledge and experience of using cashflow, behavioural valuation, and cost allocation modelling. We\'ll also expect you to have an undergraduate or a master\'s degree in a quantitative discipline, or evidence of equivalent practical experience.You\'ll also need experience of ETL technical design, automated quality testing, QA and documentation, data warehousing and data modelling. We\'ll also look to you to have a good understanding of modern code development practices and good problem-solving skills.Additionally, you\'ll need:Evidence of previous project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary teamExperience with statistical software, database languages, big data technologies, cloud environments, machine learning on large data sets and deploying machine learning modelsExperience articulating and translating business questions and using statistical techniques to arrive at an answer using available dataEffective verbal and written communication skills and the ability to adapt communication style to a specific audienceExtensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods
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