What Jobs are available for Model Deployment 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.

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.

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

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.

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

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
)

We power people's progress.

At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalized learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. So far, 90,000 tutors have delivered over 20 million lessons to learners in more than 175 countries. Every Preply lesson sparks change, fuels ambition, and drives progress that matters.

Meet the team

The Data team drives Preply to make the best decisions for our business, learners and tutors, by building a data-driven organization and the best data products.

As Data Managers, we are deeply involved in people, business, products, marketing, and technologies. In partnership with product managers, we look for business opportunities and take them to bring the company to the next level. All Product Analytics team members embedded in cross-functional squads (approximately will report to this position.

We leverage a mature data-ecosystem, built with state-of-the-art technologies. Visit our Tech Radar to learn about the stack we use at Preply

What You'll Be Doing

• Hire, scale, and nurture a Monetization Product Analytics team. Define a long-term vision and set them up for success. Keep them motivated by fostering an environment where ambitious goals lead to meaningful wins.Inform & shape the strategy of Preply's subscription model, payments operations, and learners scheduling experience as well as how tutors set their availability.Master the dynamics of tutors/learners interaction across multiple stages of the user journey (booking, subscription management, payments, etc.) Champion strategic projects that will change how we use data, and how we understand our users and business. Promote data literacy and self-service analytics across the organization.
• Enable accurate impact measurement for our product initiatives and an optimal prioritizing of the product roadmap.
• Work closely with our Data & analytics engineer team to define standard methodology, tools and best practices for your team.Participate in the definition of tracking events, engagement metrics and key performance indicators.

What You Need To Succeed

• 3+ years of proven experience leading and managing Analytics and Data Science teams, with a strong track record of coaching, mentoring, and developing talent, complemented by 4 years of hands-on experience as an individual contributor in analytics.
• Demonstrated ability to set high standards, raise the technical bar, and instill a culture of accountability, curiosity, and continuous learning.
• Experienced in defining team strategy, setting priorities, and aligning analytics goals with company-wide business objectives.
• Experience with experimentation platforms, tracking definition as well as AB test design and evaluation.
• Hands-on experience with advanced analytics techniques (e.g., causal inference, predictive modeling, attribution methods) and solid grounding in SQL, Python/R, and BI platforms (such as Amplitude, Looker, Snowflake, Data Bricks or similar).
• Proven ability to lead change management, embedding experimentation and analytics into product culture with a creative mindset and proactive attitude toward hypothesis generation, rapid testing, and iteration.
• A passion for driving insights and curiosity on user behavior and business metrics. Creative mindset and proactive attitude towards the creation and evaluation of new hypotheses.

Nice To Have

• Previous experience in Marketplaces and/or digital businesses (B2B, B2C, B2B2C).
• Previous experience in a subscription based business or in a payments team.
• Foundational domain knowledge of Gen-AI and Machine Learning to be able to assist PMs and squads as they design and deliver AI-Driven features

Why You'll Love It At Preply

• An open, collaborative, dynamic and diverse culture;
• A generous monthly allowance for lessons on , Learning & Development budget and time off for your self-development;
• A competitive financial package with equity, leave allowance and health insurance;
• Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub
• Access to free mental health support platforms;
• Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting).

Our Principles

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.

Diversity, Equity, and Inclusion

Preply is committed to creating a diverse and inclusive environment where people from all backgrounds can thrive. Different opinions and viewpoints are key ingredients in our success as a multicultural Ed-Tech company.

Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status. Together, we are The World Class.

Job Description Summary

At data42, a division of Biomedical Research, our vision is to empower and inspire Novartis' research and development community in harnessing inter-connected multimodal internal and external data in a securely governed platform. We strive to accelerate additional research across a continuum of research, clinical development and medical to unlock insights leading to the discovery and development of new medicines for patients.

Data42 Data Science and Innovation team is currently seeking a highly skilled individual to join our team as a Senior Data Science Expert. As an essential part of the team, you will collaborate with scientists in various disease and functional areas across the organization to advance research and drug development, specifically in our immunology programs.

With a focus on addressing open questions in immunology, your responsibilities will involve collaborating with other data42 scientists to help build a comprehensive platform for our users and stakeholders to make use of, while ensuring proper governance.

If you are passionate about making a significant impact in medical research and are eager to join a dynamic and collaborative team, we encourage you to apply. There are numerous diseases with urgent medical needs, and our goal is to address these challenges and create a lasting impact on global healthcare.

Your responsibilities will include:

• Leading projects and effectively communicating with stakeholders and collaborators.

• Actively participating in pooling and analyzing multimodal clinical trial data to address important scientific questions, such as target discovery, compound prioritization, disease progression and indication expansion, in close collaboration with teams from across Novartis.

• Develop and apply advanced ML and AI algorithms tailored to biomedical data, including deep learning models, to derive actionable insights from complex multimodal datasets.

• Acting as a connector between data resources and project teams, enhancing the generation of hypotheses by sharing insights derived from or applied to data from different drug development pipeline phases.

Role Requirements:

• PhD in data science, machine learning, bioinformatics, computational biology, or a related field, with substantial postdoctoral (or equivalent) experience in academia or the pharmaceutical industry.
• Proficiency in Python, PyTorch, high performance computing, and/or R for statistical programming.
• Proven experience in professional software development practices: code standards, code review, version control, continuous integration, testing.
• Understanding of biology or medicine, demonstrated experience in working with health-related data.
• Proficient in using biostatistics methods for inference and hypothesis testing. Experience with applying state-of-the-art Deep Learning methods.
• Demonstrated ability to work in a cross disciplinary team and present complex data science concepts in digestible terms to diverse scientific audiences.
• Demonstrated strong scientific curiosity, initiative, and learning agility.

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally:

Division

Biomedical Research

Business Unit

Universal Hierarchy Node

Location

Ireland

Site

Dublin (NOCC)

Company / Legal Entity

IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area

Data and Digital

Job Type

Full time

Employment Type

Regular

Shift Work

No

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.