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Marketing Statistician/ Econometrician

Dublin

Marketing Statistician/ Econometrician

Dublin | Ireland

As customer expectations grown and there is an increasing demand for a personalised customer experience, there is a growing demand on the Analytics team to enable this personalised experience. The Analytics department is a growing area within Bank of Ireland and is responsible for customer insights, modelling and performance analytics. The team focuses on providing customer and marketing insights, predictive analytics and robust performance analytics to key stakeholders across the Group. There is an insatiable demand from the organization to integrate and analyze more data to deliver deeper customer understanding.

The Opportunity

The successful candidate will be responsible for acquiring, analysing and leveraging data to support growth and innovation within Bank of Ireland. This is an exciting time to join the team as the importance of data and analytics continues to grow and the team expands. This is a high visibility role within the team and a great opportunity to make a difference to our customers.

The Person

  • Bring a passion for acquiring data and using data to improve the performance of the organisation and the experience our customers receive.
  • Have a strong analytical background coupled with an ability to relate results to the business and form recommendations which add value.
  • Have experience in supporting the development of key strategic analytics projects and delivering continuous enhancements to the analytics processes (Next Best Action, Propensity Modelling, Customer Segmentation and other applications of Machine Learning).
  • Leverage exceptional attention to detail and statistical knowledge to build accurate and scalable datasets and analysis as well as deliver impactful results and insights.
  • An individual who is excited to learn and test new toolsets and someone who keeps in touch with emerging trends in data and analytics.

MSc or PhD in Statistics, Computer Science, Economics, Analytics or equivalent quantitative field.

Use your advanced analytics skills to join complicated datasets (structured, semi-structured and unstructured) to build up a deep understanding of customer behaviour.

Using the vast amounts of data available develop predictive models and recommendation engines that support our customers and deliver on commercial objectives.

Manage the building of machine learning models from development through testing and validation to our 2+ million customers in production

Become a subject matter expert on next best action and recommendation systems.

Analyse data using statistical tools and techniques to improve business processes, better serve our customers, design new products and support better decision making.

Solve business problems using data analysis and present back meaningful and actionable information to relevant stakeholders.

Be an advocate for high quality and impactful output throughout the Group.

Manage and mentor Junior Data Analysts.

  • MSc or PhD in Statistics, Computer Science, Economics, Analytics or equivalent quantitative field.

  • You are able to manage and analyse large data sets with analytic rigour by using the usual data retrieval and manipulation methods.
  • Experience wrangling structured data in relational databases as well other file formats such as JSON.
  • You have understanding of supervised and unsupervised learning methods and have experience implementing these algorithms in a business context.
  • Experience with models predicting customer behaviour and next best action frameworks.
  • Knowledge of marketing analytics, financial services or predicting customer behaviour an advantage
  • You are familiar with the standard data science stacks such as Python, R or similar.
  • Proven ability to work effectively with colleagues from different disciplines across business and technical functions. Exceptional communication skills.
  • A drive to succeed and make a major contribution to the success of analytics within the BOI group.
Closing date: May 31, 2018
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