68 Nlp Engineer jobs in Ireland

Company Overview
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries.

Position Description
KKR is building out an enterprise data group to collect, manage, and harness the power of data across our diverse portfolio investments. Reporting into the Global Markets Operations team, this group will help ensure all KKR data is accessible, consumable, and drive the curation of insights across the organization.

The KKR Data Operations group is seeking an experienced data professional to partner in the development and maintenance of data management and reporting across various verticals at the firm, including but not limited too Sustainability, Communications, Marketing, Public Reporting, Citizenship, Public Affairs, Sustainable Credit, etc. Success in this role will ensure all KKR data is accessible, consumable, and to drive the curation of insights across the organization.

This is an opportunity to assist in the creation, and ultimately take ownership of, data management processes aimed at ensuring clean and quality data, which is integral to the success and growth of the business. Strategic, analytical, and collaborative, this team member will work alongside a small, entrepreneurial team to implement, maintain, and manage portfolio monitoring and reporting data as well as processes. They will become the admin and specialist of various data platforms and drive strategic data mining initiatives in service of these different verticals. In addition, they will assist the team leads in identifying broader data operations and analytics themes that influence broader external messaging and internal storytelling and status tracking.

Responsibilities
Data Management & Creation:

• Partner with Communications and Global Market Operations Analytics and Technology teams on the creation of relevant data models, including the ingestion of data from source systems into the KKR Snowflake instance and curating the relevant business logic needed for reporting.
• Implement and own the best-in-class data governance practices; ensuring that data is well defined & transparently documented (what data exists, where does it exist, and how is it being used).
• Collaborate with engineering and make recommendations to integrate external systems into the KKR Snowflake instance and improve dataflow between external systems.

Data Reporting

• Reporting platform management: Responsible for the operations, maintenance and enhancements of existing (and future) external reporting platforms, including facilitating automated data collection and reporting within the platform tools (e.g. Workiva). This will require partnering with several teams (Sustainability, Impact, etc.) on curating data for the reports they are currently generating via the Workiva platform.
• Collaborate with Head of Sustainable Credit on Sustainability Data Collection and reporting across KKR Credit Funds.
• Work with the Public Affairs team to visualize and present relevant analytics and reporting needed for internal and external meetings.

Data Integration & Thought Leadership

• Point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner.
• Drive and support development of advanced analytical capabilities.

Technical
PRIMARY QUALIFICATIONS AND SKILLS

• Bachelor's degree or higher in Information Systems, Data Analytics, Accounting, Finance, Business, or other related fields; and/or relevant industry experience in financial data analysis.
• 3+ years of relevant experience with an financial services organization, bank, accounting group, or multi-strategy hedge fund working with reference and transactional data and/or financial analysis.
• Advanced analytical & data visualization capabilities (with proficiency in using Power BI or similar tools to support those analyses & data visualizations) are required.
• Strong Python skills required.

Drive

• Understanding and/or interest in financial datasets, asset management, financial statements, and basic accounting concepts.
• Capable of, and interested in, developing a deep understanding of the business to play a key strategic role.

Core

• Excellent written and verbal communication skills; detail oriented with strong analytical and quantitative skills, coupled with qualitative insight.
• Collaborative and active contributor, with a "roll-up-your-sleeves" attitude in a fast-paced environment.
• Maturity and sound judgment, exhibiting an ability to thrive in cross-functional and cross-business unit settings.
• Proven ability to manage demands of multiple projects in a fast-paced work environment, including ability to prioritize time efficiently and handle competing priorities while remaining connected to the details.
• High level of intellectual curiosity, accountability, and drive; self-motivated with the ability to work autonomously.
• Aptitude for critical and creative thinking across the quantitative and qualitative spectrum.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

COMPANY OVERVIEW

KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries.

POSITION DESCRIPTION

KKR is building out an enterprise data group to collect, manage, and harness the power of data across our diverse portfolio investments. Reporting into the Global Markets Operations team, this group will help ensure all KKR data is accessible, consumable, and drive the curation of insights across the organization.

The KKR Data Operations group is seeking an experienced data professional to partner in the development and maintenance of data management and reporting across various verticals at the firm, including but not limited too Sustainability, Communications, Marketing, Public Reporting, Citizenship, Public Affairs, Sustainable Credit, etc. Success in this role will ensure all KKR data is accessible, consumable, and to drive the curation of insights across the organization.

This is an opportunity to assist in the creation, and ultimately take ownership of, data management processes aimed at ensuring clean and quality data, which is integral to the success and growth of the business. Strategic, analytical, and collaborative, this team member will work alongside a small, entrepreneurial team to implement, maintain, and manage portfolio monitoring and reporting data as well as processes. They will become the admin and specialist of various data platforms and drive strategic data mining initiatives in service of these different verticals. In addition, they will assist the team leads in identifying broader data operations and analytics themes that influence broader external messaging and internal storytelling and status tracking.

RESPONSIBILITIES

Data Management & Creation:

• Partner with Communications and Global Market Operations Analytics and Technology teams on the creation of relevant data models, including the ingestion of data from source systems into the KKR Snowflake instance and curating the relevant business logic needed for reporting.
• Implement and own the best-in-class data governance practices; ensuring that data is well defined & transparently documented (what data exists, where does it exist, and how is it being used).
• Collaborate with engineering and make recommendations to integrate external systems into the KKR Snowflake instance and improve dataflow between external systems.

Data Reporting:

• Reporting platform management: Responsible for the operations, maintenance and enhancements of existing (and future) external reporting platforms, including facilitating automated data collection and reporting within the platform tools (e.g. Workiva). This will require partnering with several teams (Sustainability, Impact, etc.) on curating data for the reports they are currently generating via the Workiva platform.
• Collaborate with Head of Sustainable Credit on Sustainability Data Collection and reporting across KKR Credit Funds.
• Work with the Public Affairs team to visualize and present relevant analytics and reporting needed for internal and external meetings.

Data Integration & Thought Leadership:

• Point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner.
• Drive and support development of advanced analytical capabilities.

PRIMARY QUALIFICATIONS AND SKILLS

Technical:

• Bachelor's degree or higher in Information Systems, Data Analytics, Accounting, Finance, Business, or other related fields; and/or relevant industry experience in financial data analysis.
• 3+ years of relevant experience with an financial services organization, bank, accounting group, or multi-strategy hedge fund working with reference and transactional data and/or financial analysis.
• Advanced analytical & data visualization capabilities (with proficiency in using Power BI or similar tools to support those analyses & data visualizations) are required.
• Strong Python skills required.

Drive:

• Understanding and/or interest in financial datasets, asset management, financial statements, and basic accounting concepts.
• Capable of, and interested in, developing a deep understanding of the business to play a key strategic role.

Core:

• Excellent written and verbal communication skills; detail oriented with strong analytical and quantitative skills, coupled with qualitative insight.
• Collaborative and active contributor, with a "roll-up-your-sleeves" attitude in a fast-paced environment.
• Maturity and sound judgment, exhibiting an ability to thrive in cross-functional and cross-business unit settings.
• Proven ability to manage demands of multiple projects in a fast-paced work environment, including ability to prioritize time efficiently and handle competing priorities while remaining connected to the details.
• High level of intellectual curiosity, accountability, and drive; self-motivated with the ability to work autonomously.
• Aptitude for critical and creative thinking across the quantitative and qualitative spectrum.

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

At Eaton Ireland, power isn't just what we manage—it's what we empower.

With over a century of innovation and a presence in more than 175 countries, we're helping customers tackle their toughest power management challenges with technologies that are smarter, safer, more efficient, and more sustainable.

But what truly sets us apart is our people. As a Certified Great Place to Work, Eaton Ireland is recognised for building a culture where trust, inclusion, and purpose thrive. Here, every voice matters, and every idea has the power to shape a better future - for our communities and our planet.

The Centre for Intelligent Power (CIP) is seeking interns to work within its multidisciplinary teams. If you are excited and inspired by the thought of contributing to a more sustainable global future, as well as bringing digitalization solutions and mindset to Eaton's vast portfolio of products and services across multiple industries that our company operates.

In your role as a Data Science Intern, you will learn about the development and deployment of data science and analytics tools across Eaton's product portfolio – from grid-scale insights to home energy management systems.

You will gain experience in building and releasing statistical, artificial intelligence (AI) and machine learning (ML) pipelines in a modern data science stack and will contribute to the ongoing development of Eaton's Brightlayer Analytics platform. This platform provides a set of reusable analytics components which are used throughout the Eaton business to create products for Eaton's customers. You will be involved in the design, development, and testing of edge and cloud-based systems.

You will also gain hands-on experience with the tools and approaches used as part of the design, development, and test processes.

What you can expect to learn:

At the end, we expect you to have gained a clear understanding of the end-to-end research, design, and development process for deploying intelligent solutions in Eaton products. You will have directly contributed to this design, experimental development, and test process for at least one proof of concept system. In addition, you will have the opportunity to present your work to the team and senior technical leadership within the company.

Ongoing university studies (BSc/MSc) in Computer Science, Computer Engineering or similar

• A basic technical background is required in addition to an interest and background in machine learning and statistical modelling.
• Familiarity with Python and/or R, and commonly used modelling/visualisation libraries (pandas, numpy, dplyr, ggplot2).
• Knowledge of foundational data science algorithms.
• Familiarity with embedded systems and embedded system programming.
• Knowledge of deep learning libraries such as TensorFlow, Keras, pytorch.
• Interest in reproducible research and software engineering best practices (coding best practices, version control).

Soft Skills:

• Analytical thinking
• Problem-solving
• Communication skills
• Team collaboration
• Time management
• Ownership

We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

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.
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

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

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 the
EMEA region
, we have these
Employee 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 about
all our employee resources groups globally
as well as our
Diversity, Equity & Inclusion
approach, please go to our Diversity and Inclusion pages in the About Us section of our

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
)

Requisition ID: 60121

Position Type: FT Permanent

About the role

Are you passionate about data and artificial intelligence? Does working in one of the world's largest taste and nutrition companies excite you? Do you have a curious mentality who enjoys a challenge and sees it as an opportunity? We leverage cutting edge technologies using Databricks and Azure OpenAI to develop agentic AI solutions to support the digital transformation of our business. You will get a chance to work with your team on the latest technologies in a great company atmosphere where you can personally grow.

We are looking for a Data Science Manager who will support the Analytics & AI pillar of our Data Science & Engineering CoE. You will lead and coach our team of data scientists. This role requires an individual who is passionate about data science, coaching teams, and delivering high-impact machine learning and generative AI solutions.

The successful candidate will have substantial hands-on experience with Databricks and a proven track record in team leadership and talent development. They are a self-starter, a person who can communicate with both business and technical audiences, looking to inspire and be inspired, comfortable with ambiguity, able to think big (while paying careful attention to detail) and enjoys working in a fast-paced team that will support Kerry's Digital Transformation journey.

What will I be doing?

• Lead, coach, and manage a team of data scientists, ensuring they adhere to Databricks platform best practices.
• Foster a culture of continuous learning and professional development, guiding team members to develop their talent.
• Drive strategic data science initiatives from conception to deployment, ensuring alignment with business objectives.
• Collaborate cross-functionally with data engineers, data analysts, AI architects, AI ops engineers, data governance, product owners and other stakeholders to ensure timely and high-quality delivery of projects.
• Oversee the evaluation, selection, and application of machine learning and generative AI techniques/frameworks, ensuring best practices and optimal outcomes.
• Monitor team performance, conduct regular performance reviews, and provide constructive feedback to facilitate professional growth.

What do I need to be successful?

In Kerry we understand that people have very different career trajectories and experiences. In order to be successful in this role we would be looking for the right competencies and aptitudes as well as your proven track record of success in a similar role and environment.

These Include

• Advanced degree (MSc or PhD) in Data Science, Computer Science, or a related field.
• Proven experience leading and managing a data science team.
• Hands-on expertise with the Databricks platform, specifically in machine learning and generative AI applications.
• Strong experience designing, developing, and deploying machine learning models and generative AI solutions in production cloud computing environments.
• Excellent communication and interpersonal skills, with the ability to effectively coach and inspire team members.
• Databricks Certified Machine Learning Professional (strongly preferred).
• Databricks Certified Generative AI Engineer Associate (strongly preferred).

What will I get in return?

At Kerry, we believe in giving talented, curious people the opportunity to make a difference. We work as a team, searching for the best ways to inspire food and nourish life. We are a community of innovators, working across disciplines to solve global food challenges with a fresh approach. We want you to achieve whatever you put your mind to.

We Also Offer

• 25 days annual leave (excluding bank holidays)
• Hybrid working
• Free onsite parking
• Free onsite gym
• Free shuttle bus from Sallins train station to our offices in Naas
• Health Care Cover
• Matched pension scheme
• Benefits platform offering discounts and cashback on major retailers.

About Kerry

Kerry is the world's leading taste and nutrition company for the food, beverage and pharmaceutical industries. Every day we partner with customers to create healthier, tastier and more sustainable products that are consumed by billions of people across the world. Our vision is to be our customers' most valued partner, creating a world of sustainable nutrition. A career with Kerry offers you an opportunity to shape the future of food while providing you opportunities to explore and grow in a truly global environment.

Get in touch today

In Kerry we benefit from the knowledge of our colleagues who bring a diverse range of cultures, backgrounds, lifestyles, and experiences. One team fostering an inclusive culture that, above all, inspires food and nourishes life. One culture where everyone brings their unique perspectives and experiences to help make us better, together. We are committed to nurturing an environment of positivity and inclusiveness, where everyone can be at their best, both personally and professionally.

Our recruitment, selection and assessment process are based on the skills and competencies of the specific roles and based entirely on merit. We are committed to and value Diversity and Inclusion in all recruitment processes within Kerry and do not discriminate based on gender, race, class, economic status, ethnic background, sexual orientation, age, political beliefs, veteran status, marital status or any other protected characteristic.

Beware of scams online or from individuals claiming to represent us. A Kerry employee will not solicit candidates through a non-Kerry email address or phone number. In addition, Kerry does not currently utilise video chat rooms (e.g., Google Hangouts) to conduct interviews. Refuse any request that asks you to provide payment to participate in the hiring process (e.g., purchasing a "starter kit," investing in training, or something similar). Kerry will not ask you to pay any money at any point in the hiring process with the exception of reimbursable travel expenses. In addition, any payments made by Kerry will be from official firm accounts bearing the Kerry name.

Please note: We do not accept CVs or candidate profiles from recruitment agencies where Kerry terms of business have not been signed. Additionally, we will not consider or agree to payment of any recruiter fee under these circumstances. This also applies to CVs or candidate profiles sent directly to any Kerry Hiring Managers.

Company Description

TOMRA Food is a multinational organisation and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximise food safety and minimise food loss by making sure Every Resource Counts, has been our strength for over 50 years.

At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.

Join the resource revolution

Job Description

We are looking for a Data Science Architect to lead the design and evolution of our data science systems across machine and cloud platforms. As a key member of the R&D team, you will shape the architecture that powers deep learning inference on TOMRA Food sorters and drive innovation in our cloud-based MLOps platform that was developed to train the models. This role blends technical leadership, system design, and strategic foresight to deliver scalable, high-performance solutions that create real customer value.

Role and Responsibilities:

System Architecture & MLOps:

• Design DL vision models by selecting a suitable backbone, neck and head and testing the performance of those combinations. Innovations in these areas are highly welcomed.
• Design architecture for real-time deep learning inference on TOMRA sorters, including GPU specifications.
• Maintain & improve architecture of in-house cloud-based MLOps platform (data science pipelines).
• Design & advise on new features for the MLOps platform.
• Follow latest improvements in AzureML ecosystem and come up with efficiency improvements.
• Optimise model lifecycle process and come up with performance improvements for our DL models in order to create customer value.
• Produce architectural plans for our data science solutions and ensure that these are well communicated and understood by the rest of the data science team.

Technical Leadership:

• Provide technical leadership and guidance to data scientists.
• Stay up to date of industry trends and emerging technologies to ensure our systems remain cutting-edge.
• Understand customer needs and assist in translating these to technical product requirements.
• Follow latest DL model trends and push improvements to the data science team (this includes making use of new libraries).

Qualifications

About You:

• Master's or higher degree in Artificial Intelligence, Mathematics, Statistics or an equivalent field.
• Computer vision background and expertise.
• Proficiency with several machine-learning tools, application programming languages and frameworks (e.g., Python, Pytorch, TensorRT, Tensorflow).
• Experience with AzureML, Databricks, AWS or similar and tools like MLFlow.
• Experience with data visualisation and labeling tools such as Voxel51 & Labelstudio or similar.
• Experience with databases (SQL, LakeFS, Azure blob…).
• CUDA experience is a bonus.
• Experience with DL inference on edge devices and GPU benchmarking.
• Track record of completing full development cycle of data science products that were applied in production on large scale.
• In-depth knowledge of data science principles & DL backbones (also mathematically).
• Excellent communication and interpersonal skills.
• Familiarity with relevant industry standards and licensing requirements.
• Proven experience in influencing and communicating effectively with a team.
• Strong problem-solving and troubleshooting skills.

Additional Information

You will have long-term career opportunities, with a globally renowned company and the following:

• Health insurance.
• Pension scheme:
• 2% employee contribution with 4% employer contribution,
• 4% employee contribution with 6% employer contribution,
• 6% employee contribution 8% employer contribution.
• 25 days annual leave.
• Additional long service days.
• International and collaborative working environment.
• Space and support to experiment with new technologies.
• Social events.
• Be part of a mission to transform how we all obtain, use, and reuse the planet's resources to enable a world without waste.
• Inclusive company culture that values diversity, well-being, and strong camaraderie among our teammates.
• Professional training and development: We are passionate about people and seeing them succeed.
• We love innovation, a collaborative environment where idea sharing and thinking outside the box is encouraged.

How to Apply:

If this sounds like you, we would love to hear from you All applications will be managed in the strictest confidence.

TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.

Company Description

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 at

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

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*

Job Description

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 the EMEA region, we have these Employee 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 about all our employee resources groups globally as well as our Diversity, Equity & Inclusion approach, please go to our Diversity and Inclusion pages in the About Us section of our website:

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 )

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 at

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

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*

Job Description

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 the
EMEA region
, we have these
Employee 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 about
all our employee resources groups globally
as well as our
Diversity, Equity & Inclusion
approach, please go to our Diversity and Inclusion pages in the About Us section of our website:

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
(

)

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary: We are seeking for a Manager of Data Science to join us as an exceptional problem solver with a passion for data insights and a relentless execution focus. This role task includes but not limited to managing new payment product launch, payment risk management and checkout experience enhancement for the Large Enterprise (LE) portfolio. This position resides in the Global Fraud Prevention organization that supports various business lines in optimizing risk and revenue to enable profitable business growth within risk appetite. Your work will focus on fraud risk management for LE segment, to support the business growth across world wide with key focus on the US and EU.

Job Description:

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit

Who We Are:

To learn more about our culture and community visit

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at

Belonging at PayPal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.