Led by the recently appointed Chief Marketing Officer, we are creating Group a Marketing function which will develop a strong brand for Bank of Ireland, shaping and delivering a differentiated position for the Bank in the markets in which we operate. This will enable us to shape and deliver on our purpose to enable customers, colleagues and communities to thrive and to build the National Champion Bank in Ireland. The Group Marketing function will be underpinned by the following strategic imperatives designed to transform the Bank of Ireland brand: Customer planning across business under one group brand strategy and agreed brand pillar priorities, Deep brand & customer insight, Consistent & compelling customer communication across all touchpoints, Data driven marketing, Customer experience insight & innovation design, Integrated Technology transformation, Robust Marketing spend effectiveness & governance.
Description of business unit
As customer expectations grow 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, predictive 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 primary vision for the Customer Engagement Engine team is to enable personalisation at every customer touch point. This involves developing a deep customer understanding through data and developing best in class predictive models and Nest Best Action engines to serve our customers brilliantly. The team also need to measure at every step the value the models are contribution to key metrics underpinning the Bank’s strategic objectives. The types of projects involved in achieving this vision include propensity models, recommender systems, customer graph analysis, next best action and many more exciting and challenging projects.
Purpose of the Role
The purpose of this role is to lead the development of analytical solutions to deliver enhanced customer experiences. The role is responsible for creating personalised data driven experiences for our customers at customer interaction.
Lead the development of complex analytical models that feed into the Bank’s next best action framework.
Be the Data science lead for predictive modelling at scale and in real time where applicable.
Manage the building of machine learning models from development through testing and validation.
Create processes to measure the value of modelling to the organisations with clear targets, KPIs and measurement in place.
Integrate all the vast amount of data the bank has across internal structured data, semi-structured web data, unstructured text data.
Integrating with external data sources and APIs to discover interesting trends.
Develop and mentor less experienced Data Scientists.
What is the opportunity
This is really exciting opportunity to join a team with a big ambition to create data driven customer experiences.
At least 5 years relevant analytics experience.
Experience in delivering measurable value from advanced analytics.
Experience in Marketing Analytics and specifically propensity modelling, Next Best Action, Retention, Acquisition and Cross sell modelling.
Proven experience in the statistical analysis and modelling of this data to derive insights. Knowledge of clustering, predictive analytics, machine learning, hypothesis testing etc.
Data retrieval and manipulation experience: SQL as well as R, Python or SAS for analysis.
Experience in wrangling data from internal and external sources
Proven track record in designing and implementing successful production grade models
Proven ability to work effectively with colleagues from different disciplines across business and technical functions. Exceptional communication skills.
Essential Skills & Experience
Bring a passion for acquiring, manipulating and modelling 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 models that underpin data driven customer engagement (Propensity Modelling, Next Best Action Modelling, A/B Testing).
Leverage exceptional attention to detail and statistical knowledge to build accurate and scalable datasets and analysis as well as deliver impactful results and insights.
A very commercially minded individual who is constantly measuring the impact they have on the organisations key metrics.
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, Machine Learning, Analytics or equivalent quantitative field.
Experience with Big Data technologies or with Digital/Web analytics a distinct advantage.
People management and coaching experience.