Job Title: Data Scientist

Type: Permanent

Location: Dublin, Ireland (Hybrid)

Job Description:

A flagship client of ours, a highly respected and forward-thinking organisation within the financial services sector, is seeking a Data Scientist to join its expanding Data & Analytics function. This is a permanent opportunity to play a pivotal role in shaping data-driven decision-making across the business, working alongside a collaborative team of high-performing data and technology professionals. The successful candidate will contribute to the design and delivery of innovative, enterprise-scale data solutions, with a strong focus on advanced analytics, artificial intelligence, and machine learning, helping to transform data into a strategic asset and drive meaningful business impact.

Job Responsibilities

• Develop, implement, and maintain scalable data pipelines using cloud-based data platforms.
• Design and optimise ETL/ELT processes to ensure robust data quality and security.
• Apply advanced analytics, machine learning, and AI methodologies to deliver actionable business insights.
• Work collaboratively with business stakeholders and data architects to translate requirements into technical solutions.
• Monitor and enhance data systems for performance and cost efficiency.
• Support data analysts and business units by delivering clean, well-documented, and accessible data.
• Promote best practices in data engineering, documentation, and solution design.
• Maintain awareness of technological trends to continuously improve data solutions.

Experience Required

• Minimum of 5 years’ experience in data engineering or data science roles.
• Hands-on experience with modern cloud data platforms and data warehousing technologies.
• Proficiency in Python and SQL programming.
• Solid understanding of data modelling, ETL pipelines, and distributed data processing.
• Demonstrated experience applying AI and machine learning frameworks in a business context.

Desirable Skills

• Strong working knowledge of Azure Data Services (e.g. Data Factory, Synapse, Databricks) and Snowflake.
• Familiarity with DevOps and CI/CD pipelines for data workflows.
• Understanding financial services operations and regulatory environments.
• Experience in agile environments and continuous improvement methodologies.

Educational Requirements

• A third-level degree in Computer Science, Data Science, Mathematics, or a related discipline is required.

Working Hours & Benefits

• Monday to Friday, standard office hours.
• Hybrid working model with flexible work-from-home options.
• Competitive salary and benefits package.

HOW TO APPLY:

If you are interested in this role, please apply for this role with your updated CV.