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Data Scientist, NatWest Rooster Money

eFinancialCareers
Job LocationBirmingham
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Additional Job Description Join us as a Data Scientist, NatWest Rooster Money

  • In this role, youll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions
  • Day-to-day, youll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation
  • If youre 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 you
What youll doWere looking for someone to understand the requirements and needs of our business stakeholders. Youll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our businessstrategy. Youll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team. Youll also be responsible for:
  • Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms
  • Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems
  • Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes
  • 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
  • Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models
The skills youll needTo be successful in this role, youll need evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. Well also expect you to hold an undergraduate or a masters degree in a quantitativediscipline, or evidence of equivalent practical experience. Youll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets. And well look to you to bring the ability to demonstrate leadership, self-direction and a willingnessto both teach others and learn new techniques. Additionally, youll need:
  • Experience of deploying machine learning models into a production environment
  • Experience of articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • Effective verbal and written communication skills and the ability to adapt communication style to a specific audience
  • Extensive work experience, including expertise with statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods

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