Senior Consultant, Data Science, Data & Analytics, Belfast

at  EY

THE TEAM AND THE OPPORTUNITY

As part of our Data Analytics and AI team, the Data Scientist role is pivotal in enabling our clients to derive significant value from their information assets. Through collaboration and domain expertise, our team embeds innovative data analytics solutions into existing business areas, transforming data into strategic assets. We are looking for a Data Scientist who is passionate about leveraging data to solve complex problems and drive business outcomes.
You will play a key role in driving growth by developing new and existing client relationships and delivering first-class customer experience on high-profile engagements.
The Data Analytics and AI team serve as trusted advisors, both practical and innovative, to embed innovative data analytics solutions into existing business areas and transforming data into strategic assets.
Working across all industries, you’ll develop your career by communicating creative, strategic goals both internally and externally. As a Senior Consultant, the opportunity to assess and improve our clients’ reporting policies and corporate governance processes will impact these ever-challenging areas during transformational and regulatory changes.

YOUR KEY RESPONSIBILITIES

• Collaboration: The ability to work closely with cross-functional teams to develop, test, and deploy advanced machine learning models, ensuring alignment with business objectives and seamless integration into client operations.
• Data Analysis: The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies.
• Data Pipeline Management: Be able to design, implement, and maintain data pipelines that are critical for model training and deployment. Your expertise will ensure the reliability and efficiency of our data infrastructure.
• Communication: The skill to effectively communicate complex analytical findings and model results to stakeholders, translating data-driven insights into business language that informs decision-making.
• Continuous Learning: The ability to stay informed of the latest advancements in data science, including techniques and tools, to ensure our team remains at the cutting edge of the field.

TO QUALIFY FOR THE ROLE, YOU MUST HAVE.

• Experience: 2-4 years of hands-on experience in building and deploying machine learning or deep learning models in real-world applications.
• Technical Expertise: Proficiency in Python, SQL, and deep learning frameworks such as TensorFlow and PyTorch. Experience with R is a nice-to-have.
• Foundational Knowledge: A strong foundation in statistics, mathematics, and programming is essential for success in this role.