Senior Data Scientist - with Great Benefits

We are looking to hire a resourceful Senior Data Scientist to join our diverse team at Bank of Ireland in Dublin.
Growing your career as a Full Time Senior Data Scientist is a terrific opportunity to develop competitive skills.
If you are strong in planning, decision-making and have the right mindset for the job, then apply for the position of Senior Data Scientist at Bank of Ireland today!

What is the opportunity?

As a Senior Data Scientist on the Customer Analytics Data Science team, you will develop analytical solutions to deliver enhanced customer contact and practical insights based on data analysis. You'll build propensity models, forecasts, and proof of concept models as part of a collaborative and innovative team who strive to support customer contact with the right message for the customer at the right time.

In this Role, you will

• Use advanced data science methods to transform complex problems into compelling marketing and business solutions
• Propose and build innovative proof of concept solutions using pioneering AI capabilities
• Identify and integrate new internal and external data sources to improve model accuracy.
• Use data visualisation tools to explain your results simply and succinctly to business audiences.

What will make you stand out

You are curious and passionate about data and data science!

You have a very strong track record of developing solutions to solve complex business problems using analysis and predictive models. You manage and analyse large data sets with analytic rigour by using the usual toolset of statistical and machine learning methods, you have a good understanding of supervised and unsupervised learning algorithms and strategies for data processing, data/text mining and artificial intelligence and you are able to implement them in business context.

You have a demonstrated ability to translate data analysis into compelling stories and practical insights, and of using data to influence decision making.

You are passionate about using data to create positive interactions with our customers. You are a highly motivated and driven individual looking to make a major contribution to the success of analytics within the Bank of Ireland Group.

You are collaborative, and enjoy working within a team of data scientists, while being able to own a project and drive its delivery. You are self-motivated, innovative and enthusiastic and have exceptional communication skills.

You have experience with the following:

• Python, R, or SAS for analysis and machine learning
• SQL for data extraction
• Tableau, Power BI or similar for data visualisation

Essential Qualifications

• QQI Level 8 Degree in Maths, Computer Science, Statistics, Physics, Economics, Machine Learning, Analytics or an equivalent quantitative field

More about the team

The Customer Analytics Data Science team sits within the Group Marketing function and supports our customers, colleagues and partners across Ireland and the UK.

In a changing market environment, where customer expectations continue to grow and there is an increasing demand for more personalised customer experiences. Our team is leading the charge to enable and deliver this personalised experience through data analytics and the application of machine learning and artificial intelligence.

To deliver on this vision, we use internal and external data and apply data analytics, machine learning and visualisation techniques to maximise the value of this data and deliver positive outcomes for our customers.

The complex challenges the team faces means there is considerable opportunity for team members to grow and develop both their technical and non-technical skills to achieve their full potential at Bank of Ireland.

This is a hybrid role and can be done anywhere in the Republic of Ireland or UK with the primary office location as Dublin. Travel will be required for in-person collaboration - exact frequency to be agreed with manager.

#li-hybrid #ij-hybrid

Why work with us?

The Bank of Ireland company culture prioritises work-life balance with an opportunity for flexible working, along with 23 days annual leave and excellent pension contributions. Family can mean different things to different people; we offer 6 months paidmaternity leave, an innovative fertility and surrogacy policy and working parent supports.

Your wellbeing is important to us; we have an employee assistance program, WebDoctor and financial wellbeing coaches available. We also encourage and support staff to pursue educational and professional qualifications to grow and enhance your career!

Flexible working matching promise

A fear of losing your current working flexibility shouldn't hinder you from applying for new opportunities, which is why we aim to match your existing flexible working arrangements.

At the heart of our purpose is our commitment to Inclusion & Diversity:

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, this is supported by the development of our Employee Support Networks.

We offer reasonable accommodation at every stage of the application and interview process. If you require assistance, please contact View email address on click.appcast.io.

Key Competencies

• One Group, one team - Self
• Accountable - Self
• Customer Focused - Self
• Agile - Self
• Manage Risk - 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. We offer reasonable accommodation at every stage of the application and interview process. If you require assistance, please contact View email address on click.appcast.io.

Benefits of working as a Senior Data Scientist in Dublin:

● Learning opportunities
● Advancement opportunities
● Competitive salary