myGwork - LGBTQ+ Business Community
Data Science Specialist
myGwork - LGBTQ+ Business CommunityIreland1 day ago
Full-timeEngineering, Information Technology
This job is with Avery Dennison, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

About Avery Dennison

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. Learn more atwww.averydennison.com.

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 [email protected].

We do not accept unsolicited referrals or resumes from any source other than directly from candidates.

  • We are unable to offer sponsorship or relocation for this role*
  • This role is subject to right-to-work checks as per local employment laws*

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. You'll play a key role in developing predictive models, uncovering actionable insights, and presenting your findings to stakeholders to drive informed business decisions.

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

Education & Experience

  • 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

What We Can Offer

  • 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!

Who we are! - Our Story:

Every voice. Every day!Eight Values. One Team!

Being open to every voice, every day, brings our value of diversity to life and makes Avery Dennison a vibrant and engaging place to be. We understand diversity and equal opportunities as enrichment for our future-oriented work. Across our diverse, global team, every voice makes us stronger. When we listen to and learn from each other, there is no limit to what we can achieve together. Each of us is unique, and we appreciate bringing together different personalities and talents.

Avery Dennison is an equal-opportunity employer. In theEMEA region, we have theseEmployee Resource Groups:

  • EmpoWer- focusing on the engagement, mentoring, and promotion of women
  • Mental Health- striving to provide a safe space for employees to discuss mental health issues in the workplace
  • Unite- supporting the LGBTQI+ and ally community in the EMEA region

To find out more aboutall our employee resources groups globallyas well as ourDiversity, Equity & Inclusionapproach, please go to our Diversity and Inclusion pages in the About Us section of our website:https://www.averydennison.com/en/home/about-us/diversity-and-inclusion.html

At Avery Dennison, we do what we love, and we love what we do - Just click here, and get to know us better:Life @ Avery Dennison(linkedin.com/company/avery-dennison/life/emea)

Key Skills

Ranked by relevance
Apply