Data Science Specialist (12-month contract)

myGwork - LGBTQ+ Business Community; Longford; On-site; EUR 35,000 - 50,000; Full time

Job summary

A global materials science company is seeking a Data Science Specialist on a temporary contract in Longford, Ireland. This role is ideal for a new graduate looking to apply statistical and machine learning techniques to solve complex business problems. Key responsibilities include data analysis, model development, and effective communication of insights to stakeholders. The ideal candidate should have relevant experience and a Bachelor’s Degree in a quantitative field. Flexible working hours and a supportive team environment are offered.

Benefits

Flexible working hours

Attractive salary package

Workplace & work hours flexibility

Structured learning and development

International environment

Team events

Qualifications

• 0-3 years of relevant experience in data science or analytics.
• Bachelor’s Degree preferred in Computer Science, Engineering, Mathematics, or Statistics.

Responsibilities

• Apply advanced statistical analysis and machine learning to extract valuable insights.
• Design and implement predictive models for business improvement.
• Create clear data visualizations and reports for stakeholders.
• Collaborate with business units to understand data needs.
• Communicate findings effectively to stakeholders.
• Troubleshoot data-related issues.

Skills

Data analysis

Machine learning

Data visualization

Communication

Problem-solving

Education

Bachelor’s Degree in relevant field

Job description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers.

We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion.

We're seeking a Data Science Specialist to join our team on a temporary contract (12 months). This role is ideal for a new graduate or early-career professional who is passionate about using data to solve complex business problems. The ideal candidate will apply statistical, algorithmic, and machine learning techniques to collect, analyze, and interpret large datasets.

Key Responsibilities

• Data Analysis & Modeling: Apply advanced statistical analysis and machine learning to large datasets to extract valuable insights and answer key business questions.
• Model Development: Design and implement predictive and prescriptive models for complex problems, identifying opportunities for business improvement.
• Data Visualization & Reporting: Create clear and compelling data visualizations and reports to present complex results in an easily understandable format for both technical and non-technical audiences.
• Problem-Solving: Collaborate with various business units to understand their functions and interdependencies, anticipating their data-related needs and providing solutions with appropriate supervision.
• Communication: Effectively communicate findings, insights, and model outputs to stakeholders through strong verbal and written communication.
• Troubleshooting: Use strong analytical and problem-solving skills to troubleshoot data-related issues and ensure data quality.

Qualifications

• Experience: 0-3 years of relevant experience in data science, analytics, or a related field.
• Education: Bachelor’s Degree is preferred, ideally in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.

Skills & Competencies

• Technical Skills: Working knowledge of data analysis and modeling techniques, including statistics, data mining, and machine learning.
• Analytical Prowess: Strong analytical, troubleshooting, and problem-solving capabilities with a basic to moderate ability to identify and resolve issues with supervision.
• Communication: Excellent verbal and written communication skills with a focus on delivering exceptional customer service to internal and external stakeholders.
• Business Acumen: Some understanding of applicable system architectures and a familiarity with enterprise business processes, including business unit functions and their interdependencies.
• Proactivity: Ability to anticipate user requirements and proactively identify opportunities for data-driven improvements

Additional Information

Avery Dennison is an equal opportunity employer. Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via [e-mail].

• Flexible working hours
• Attractive salary package
• Workplace & work hours flexibility
• Structured learning and development / Mentoring program
• International environment
• Events like International Women’s Day, Earth Day, etc.
• A growing and welcoming team with a good spirit!