AIB

Data Scientist , Analytics , CTO

7 June 2024
Full Time
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Deadline date:
£110000 - £185000 / year

Job Description

Role Title: Data Scientist , Analytics , CTO

 

Location: AIB, Central Park, Leopardstown, Dublin 18

 

The Role:

The Analytics function within the Data & Analytics Centre of Excellence are responsible for leading and driving value from AIB’s data, leveraging a diverse and advanced analytics toolset, to deliver business benefit and inform decision making across the group.  We comprise of a diverse mix of skills, from Data Scientists, Data Engineers, Data Analysts, Reporting Analysts and Advanced Analytics Specialists, supporting and enabling internal and external stakeholders.

 

The Advanced Analytics function supports all areas across the business who are passionate about developing innovative and sustainable AI and Machine Learning products that deliver measurably high value for the business, and better and fairer outcomes for our customers, colleagues and communities

 

This is an exciting and challenging opportunity for the successful candidate to join a highly skilled and passionate team of Data Scientists and Engineers. This role will suit someone early in their Data Science career, with a strong foundation in programming and statistical modelling, with a passion for solving complex problems. We will challenge you with real business problems and tool you with the best technologies to deliver innovative solutions across many aspects of Data & Analytics and you will be supported with necessary coaching and technical development. 

 

Key Responsibilities:

  • Working with the Business,  design and develop innovative machine learning solutions which create real business value
  • Perform exploratory analysis to identify patterns, trends and insights
  • Collaborate with teams to identify and understand business requirements.
  • Manage data extraction, pre-processing, and analysis using Teradata.
  • Create and optimize models using Python and SAS Viya.
  • Maintain code quality and version control with Git.
  • Monitor, manage and maintain deployed models.
  • Evaluate models and iterate to improve performance
  • Operate in an Agile environment, utilizing Jira for project management
  • Deliver results and insights clearly to a non-technical audience
  • Contribute to solution identification for initiatives undertaken across the team

 

Qualifications:

  • Bachelor’s or Master’s in Data Science, Computer Science, Statistics or related field.
  • Minimum 2 years’ experience in machine learning
  • Proficient in Python, with knowledge of SAS Viya a bonus
  • Demonstrated understanding of statistical methods and machine learning algorithms
  • Experienced in using Teradata for data extraction, manipulation and feature engineering.
  • Skilled in Git for version control.
  • Familiar with Agile methodologies and Jira.
  • Strong analytical and problem-solving abilities.
  • Effective communication and teamwork skills.

 

Life at AIB

 

At AIB, we have a clear purpose – to back our customers to achieve their dreams and ambitions. We want to be at the heart of our customers’ financial lives by giving them an exceptional experience. That goes for our employees too.

We are building a culture that breaks the conventions of what our customer and employees expect of a bank.

 

We are committed to offering our colleagues choice and flexibility in how we work and live.  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.  More details on our hybrid working arrangements and expected office attendance for your role will be provided to you during the recruitment process.

 

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 for Diversity and Inclusion. We work to ensure that AIB is a place where diversity is welcome, everyone can thrive, and inclusion is a universal experience.  Our working environment is one in which talented individuals of all backgrounds can realise their full potential, enjoying rewarding careers in the service of our customers.

 

If you feel you have what it takes, click apply and fill in the online application form. If you would like more information or have any special requirements or needs that would support you during the recruitment process then please contact the Talent Acquisition Team at [email protected]

 

 

By when?  Closing date is Wednesday the 15th of May 2024

 

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