Data Scientist, Associate

2 weeks ago

United Kingdom Nationwide Full time

Predictive analytics is central to how we decide the right messages to send to our customers that will help them with their financial needs at the moments that matter most. As an Associate Data Scientist at Nationwide Building Society, you’ll be supporting the Customer, Brand and Engagement function by utilising advanced analytics to help us develop machine learning models that will provide a uniquely personalised experience for every customer.
With the proliferation of data, and the increased use of AI, automation and transformation is changing the way that marketing operates. We do this by being more data led and using new and innovative techniques.
Our hybrid ways of working mean we support flexible working wherever we can, with an inclusive approach to how we work. We recognise that some activities are more beneficial face-to-face, and our colleagues enjoy a mix of office based and home working arrangements, depending on the nature of the activity. There will be occasions when you’ll need to attend your local office, or other UK sites. You’ll have contracted hours, but we’re always happy to support flexible working wherever we can. That might mean working from home or different Nationwide offices or agreeing a working pattern to help you balance work and life. Reporting to the Data Science Manager, Advanced Analytics, you will:
be involved with data development, including data extraction, data cleansing and feature engineering;
develop and validate advanced machine learning models to predict customer outcomes;
provide innovation, using tools and techniques available to you to contribute to a suite of analytics solutions that will increase the usage of data and draw out meaningful insight.
As an Associate Data Scientist, you will have good knowledge of mathematical modelling and advanced analytics techniques to deliver solutions to business problems. In addition to having a passion for data science, you are resourceful and innovative in your approaches to solving problems. a bachelor’s degree in data science, mathematics, statistics, computer science or 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 a variety of areas;
good presentation skills to bring data science and analytical findings to life.
It’s also about being clear, precise, and using language that we and, importantly, our customers and members can understand.
Push for better - This is about aiming high and constantly looking for better in how we work together and serve our customers and members.
So, it’s a good idea to call out your most relevant experience on your application to give yourself the best chance.
A personal pension – if you put in 7% of your salary, we’ll top up by a further 16%
~ Life assurance worth 8x your salary
~ A great selection of additional benefits through our salary sacrifice scheme
~ Access to an annual performance related bonus
~ Access to training to help you develop and progress your career.
~ 25 days holiday, pro rata

Nationwide is the world’s largest building society. As a building society, we’re owned by our members – that’s our customers who have their current account, mortgage or savings with us.

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