What is the Role
The role reports to the Customer Base Management team which sits within the Chief Customer Office (CCO). It requires a strong understanding of statistical techniques and experimental methods to ensure the success of customer base management initiatives (e.g., personalisation, lifecycle, and promotional campaigns). As a senior data scientist, you will lead designing experiments (A/B tests, online and field experiments) to measure campaign performance in the best possible way; deliver pre/post-campaign analysis; and support the development of monitoring tools to track key performance indicators (KPIs).
Key accountabilities
* Work closely with the CRM and Data Science teams to design, implement, and analyse experiments (A/B tests, online and field experiments). Provide subject matter expertise on causal inference, especially issues surrounding internal and external validity.
* Define key performance indicators (KPIs), including ROI, uplift, conversion, and churn metrics and track them through the production and maintenance of dashboards.
* Contribute to pre/post-campaign analysis with clear commentary and recommendations. Ensure statistical rigor is applied to business recommendations.
* Support and contribute to the development of robust measurement frameworks to evaluate performance of CRM, lifecycle, and promotional campaigns.
* Extract, transform, and clean the data required for modelling and analysis purposes.
* Support the team in enhancing the efficiency of data pre-processing, analysis, and reporting (e.g., increased automation).
What you Will Bring
* A master’s degree in Statistics, Computer Science, Economics, Data Science, Behavioural Science, or Experimental Psychology. The applicant must demonstrate experience in designing experiments in either commercial or academic setting and a good understanding of microeconometrics.
* 3+ years’ experience in a quantitative analytics role.
* Advanced level of proficiency in statistical software such as SAS, R, or Python.
* Familiarity with data visualisation tools such as Power BI, SAS Visual Analytics, QlikView, or Tableau.
* Strong ability to communicate analytical insights into clear business recommendations for all levels in the organization.
* Inclination to innovate and proactively keep abreast of the latest techniques. Knowledge of machine learning methods for estimating heterogeneous treatment effects would be a bonus.
Why Work for AIB
We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements.
Some of our benefits include;
* Variable Pay
* Employee Assistance Programme
* Family leave options
Key Capabilities
* A/B Testing and Experimentation
* Drives Progress
* Eliminates Complexity
If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Emma, at careers@aib.ie for a conversation.
AIB is an equal opportunities employer, and we pride ourselves on being the first bank in Ireland to receive the Investors in Diversity Gold Standard accreditation from the Irish Centre for Diversity. We are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request please email the Talent Acquisition team at careers@aib.ie
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