Data Science Associate

3 weeks ago

Swindon, Swindon, United Kingdom Nationwide Full time

Predictive analytics plays a central role in shaping our customer engagement strategy, enabling us to deliver targeted financial support at the moments that matter most. As an Associate Data Scientist at Nationwide Building Society, you will be part of the Customer, Brand and Engagement function, utilising advanced analytics to develop machine learning models that provide a unique and personalised experience for every customer.

We are embracing a data-led approach, leveraging AI, automation, and transformation to revolutionise the way we operate. This involves using new and innovative techniques to drive marketing effectiveness.

Nationwide offers a hybrid working model, allowing colleagues to balance office and home-based work. This flexible approach supports more rewarding relationships, bringing teams together across our UK-wide estate while also providing generous access to home working.

For this role, you will spend at least two days per week, or 40% of your working time, based at either our London or Swindon office.

As a key member of the Data Science team, you will report to the Data Science Manager, Advanced Analytics. Your responsibilities will include:

  • Participating in data development, including data extraction, cleansing, and feature engineering;
  • Developing and validating advanced machine learning models to predict customer outcomes;
  • Providing innovative solutions using available tools and techniques to contribute to a suite of analytics solutions that increase the usage of data and draw out meaningful insights.

You will be expected to have good knowledge of mathematical modelling and advanced analytics techniques to deliver solutions to business problems. A passion for data science, resourcefulness, and innovative problem-solving skills are essential. Your fresh ideas and thinking will underpin Nationwide's approach to tackling value-driving initiatives by leveraging the latest approaches in advanced analytics techniques.

Requirements include:

  • A bachelor's degree in data science, mathematics, statistics, computer science, or a related field, or equivalent relevant qualification/work experience;
  • Good working knowledge of developing machine learning models using advanced analytical techniques;
  • Proficiency in programming languages, SAS, and Python preferred;
  • Strong analytical and problem-solving skills to understand and interpret business data in various areas;
  • Good presentation skills to bring data science and analytical findings to life.

Nationwide values honesty, directness, and clarity in communication. We aim to be clear, precise, and use language that our customers and members can understand. We prioritise what will have the greatest impact, being decisive and taking accountability for delivering on the end-to-end outcome. Benefits include a personal pension, life assurance, additional benefits through our salary sacrifice scheme, access to an annual performance-related bonus, and access to training to help you develop and progress your career.

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