Role:
Senior Data Scientist
Location:
Central Park/Hybrid
This role is being offered on a permanent full-time basis.
-Do you enjoy working with data to solve complex challenges?
-Are you skilled in application of machine learning techniques?
-Have you an interest in mentoring and coaching data scientists?
-Are you interested in joining a collaborative skilled team of data scientists and machine learning engineers?
About the Role:
The Advanced Analytics function, sitting within the Data & Analytics, is responsible for leading and driving value from AIB’s data. The central goal of the Advanced Analytics function is to deliver business benefit from data, to inform decision making across the business. 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.
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. We leverage a diverse and advanced analytics toolset to do so.
This is an exciting and challenging opportunity for an experienced data scientist to join a talented team of data scientists and machine learning engineers, delivering on data science initiatives, and supporting strategic development of the department. We will challenge you with real business problems and
will provide you with the tools to deliver innovative solutions
across many aspects of Data & Analytics.
We’re looking for someone who has:
-Delivered a catalogue of machine learning use cases with proven value, utilising a broad spectrum of machine learning techniques.
-The ability to coach and mentor junior data scientists and emerging data scientists coming through AIB’s Data & Analytics Graduate programme.
-The ability to articulate data science concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key stakeholders.
-Significant hands-on experience with applying data mining, statistical analysis, modelling, machine learning, and experimentation across big datasets.
-Future focused mindset
continuously developing data science and AI knowledge, and ways of utilising new tools and techniques to tackle business and organisational challenges
-Has experience working within an MLOps framework, partnering with ML engineers to deploy, embed and scale machine learning models to deliver multiple projects.
-A strong understanding and appreciation of best practises in coding standards, versioning, code reviews, source management, build processes, testing, and operations.
-Effective at working independently and in collaboration with other team members.
-Able to plan work, set clear direction for self and others, and coordinate own tasks and team tasks in a fast-paced multi-disciplinary environment.
What you will bring:
-3rd Level qualification in Computer Science, Engineering, Mathematics, or a related field and 3+ years industry experience as a data science practitioner.
-Track record for delivery, with a
catalogue of machine learning use cases developed with proven value, utilising a broad spectrum of machine learning techniques.
-Strong and demonstrable experience and expertise in statistics, coding, modelling, and experimentation.
-Expertise in Machine Learning libraries in Python such as: Scikit Learn, Keras, TensorFlow.
-Experience in the Pydata stack: Pandas, Numpy, Matplotlib, PySpark is a Plus.
-Experience in applied Data Science (supervised, semi-supervised or unsupervised learning).
-Knowledge of relational database technologies such as Teradata, or MySQL with strong SQL execution and optimisation skills.
-Experience creating visualisations and dashboards in Power BI, Tableau or Qlik.
-Strong working knowledge of SAS would be an advantage.
-Containerisation experience with docker or Kubernetes experience. Would be of benefit.
Life at AIB
At AIB, we have a clear purpose – Empowering people to build a sustainable future. 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 accreditation from the Irish Centre for Diversity. We celebrate diversity and believe in a culture of inclusion where all our employees can succeed. We welcome applications from people of diverse backgrounds and abilities. We are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request Apply the Talent Acquisition team at
careersaib.ie
If you feel you have what it takes, click apply and fill in the online application form. If you would like more information, the Talent Acquisition Team at careersaib.ie
By when? Closing date is 16/08/2024.
Disclaimer:
Unsolicited CV’s sent to AIB by Recruitment Agencies will not be accepted for this position. AIB operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our recruitment partners.
To help us track our recruitment effort, please indicate in your email/cover letter where (vacanciesineu.com) you saw this job posting.
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