People, Person, Clinic, Doctor, Lab Coat, Scientist

Data Scientist

Dublin

Data Scientist

Dublin | Ireland

Division Description

Led by the recently appointed Chief Marketing Officer, we are creating Group 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

The Customer Analytics team sits within the Group Marketing function and supports our customers and colleagues across Ireland, the UK and internationally. The Customer Analytics team is a growing area within Bank of Ireland and is responsible for Commercial Insights, Predictive Modelling and Performance Analytics. The insatiable demand across the organisation to interrogate and analyse larger data sets to deliver deeper and richer customer insights ensures the Customer Analytics team is a key stakeholder in major decisions across the Bank.

Also, as customer expectations grow, there is an increasing demand for a personalised customer experience. Customer Analytics is leading the initiative to enable and drive this personalised experience. This continued growth results in substantial opportunities for team members to grow and develop both their technical and non-technical skills to achieve their full potential within the Bank of Ireland.

Purpose of the Role

In this role you will use advanced analytics and modelling to enable personalized customer experiences at every customer touch point. The successful candidate will join the Predictive Modelling team within the Group Customer Analytics function. This involves developing a deep customer understanding through data and developing best in class predictive models and Next Best Action engines. The individual will also have to take these models and productionise them into live environments that provide enhanced customer outcomes. It is an incredibly exciting and challenging opportunity to take on. The types of projects involved in achieving this vision include predictive models, recommender systems, customer graph analysis and next best action.

Key Accountabilities

  • Develop complex analytical models that feed into the Bank's next best action framework.
  • Deliver 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 organisation 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 to improve model accuracy.
  • Integrating with external data sources and APIs to discover interesting trends.

What is the opportunity?

This is an exciting opportunity to workwith atalented data science team to solve complex problemsfocused on delivering an enhanced customer experience for our customers.

Essential Qualifications

  • 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 delivering continuous enhancements to the analytics processes (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.
  • An individual who is excited to learn and test new toolsets and someone who keeps in touch with emerging trends in data and analytics.
  • Third Level qualification, in Computer Science, Statistics, Machine Learning, Analytics or an equivalent quantitative field

Essential Skills & Experience

  • At least 2 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.

Desirable Qualifications, Skills & Experience

Experience with Big Data technologies or with Digital/Web analytics a distinct advantage.

Knowledge of the Cloudera Hadoop platform, and associated analytical tools (i.e. pySpark)

KeyCompetencies

  • Amplify Capability: Self
  • Accountable: Self
  • Champion Transformation: Self
  • One Group One Team: Self
  • Agile: Self

Where Agency assistance is required Bank of Ireland Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Bank of Ireland by Recruitment Agencies will not be accepted for this role.

Bank of Ireland Group is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of our workforce.

Closing date: Aug 23, 2019
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