25 Data Mining jobs in Ireland
Data Analytics Technician
Posted 4 days ago
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Data Analytics & Shopper Marketing Manager
Posted 3 days ago
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**Business Area: Nestlé UK & Ireland**
**Nestlé Purina**
**Data Analytics & Shopper Marketing Manager**
**Location: Dublin** **(Hybrid working - approx. 2 flexible days a week at our fantastic office)**
**Attractive Salary + potential bonus + excellent company-wide benefits**
_Championing diversity and inclusion is so important to us; when we embrace different perspectives and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business._
_At Nestlé, we are proud to support and provide equality of opportunity that supports employees to effectively blend their work life and commitments through hybrid and flexible working arrangements, so speak to us to understand what this could look like for you._
**Position Summary**
At Nestlé Purina, we're on a mission to enrich the lives of pets, the people who love them, and the planet we share. Join us, and you'll discover a world where your skills, knowledge, and passion can flourish. As part of our supportive and dynamic environment, you'll be encouraged to challenge norms, experiment with new ideas, and drive meaningful change. At Purina, you're not just part of a team; you're part of a movement to create a better world for pets and people alike.
We have a fantastic opportunity for a **Data Analytics & Shopper Marketing Manager** to join our team based in Dublin to support the Market Development (MDO) Manager across all customers with all aspects of data analytics and insight generation to drive total category growth for the retailer and Nestlé Purina. This role will also support the MDO Lead with key category management initiatives including delivery of range reviews, range optimisation and merchandising recommendations. You will also deliver winning shopper marketing plans with our retailers to drive sales and point of purchase opportunities.
**A day in the life of a Data Analytics & Shopper Marketing Manager.**
In this role, you will deliver the cyclical insight by monitoring category performance and executing category tasks supporting MDO Lead. Additionally, you will develop and execute the shopper activation and brand plans with the Purina Brand Manager.
Key responsibilities include:
+ Deliver continuous insight through category performance monitoring: Complete regular performance updates both internally and externally, extracting insights from these sources and using them to continually bring opportunities for growth for both the customer and Purina
+ Alongside category and brand teams, ensure all NPD successfully launched into customers
+ Manage the day-to-day relationships with research agencies from coding to data delivery and reporting - developing data from Insight to Action
+ Present insight, actions, and opportunities both internally and externally to influence Purina Market performance through Field sales, customer contacts and Business Managers
+ Deliver winning shopper marketing plans to drive product ROS working with external shopper agencies to include the creation and delivery of Annual Shopper Marketing plan across all categories and channels to include our shopper presence online
+ Effectively manage PFME (marketing budget) to maximise return on investment
+ Execute Successful Tradeshows and Category Sells with retailers to drive Nestlé sales at key occasions
+ Manages an outsourced service provider for POS storage and distribution
**What will make you successful**
We are looking for a passionate self-starter with a curious and creative mindset to succeed in an exciting, fast paced channel. You will be comfortable working in an agile environment managing multiple projects at once. Relationship building is key to success in this role so you should be able to demonstrate an excellent relationship building ability internally, externally and within multifunctional teams.
You will also have:
+ Previous experience in either category management, shopper marketing, insights management or consumer marketing
+ Strong analytical skills, with the ability to turn data into insights
+ Proven ability to create category insight driven sales stories and identify opportunities and threats from market data
+ Ability to manipulate data from Nielsen, Kantar and Dunnhumby
+ Demonstrable record of success in a customer facing role
+ Proven success in management of budgets
**What you need to know**
We will be considering candidates as they apply and we will occasionally close job advertisements early in the event we receive sufficient applicants, so please don't delay in submitting your application
Job advert posting date 07/08/2025
Job advert closing date 21/08/2025
At Nestlé, our values are rooted in respect. When we embrace diversity and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business. People of all gender identities, ethnically diverse individuals, people with disabilities, and members of the LGBT+ community are strongly encouraged to apply. If there is anything we can do to accommodate you to participate fully in the application process, please let us know. We take pride in championing inclusion and diversity, our people make up a number of Colleague Networks who represent different experiences and communities who hold us accountable in creating a sense of belonging for all, and our values create the conditions for us to respect the unique contribution you bring. Find out more about our Colleague Networks here: Diversity, equity and inclusion | Nestlé (nestle.co.uk)
We are committed to equal opportunity for all, and we may collect relevant data for monitoring purposes during our candidate registration process. Be yourself, everyone else is taken!
Data Analytics & Shopper Marketing Manager
Posted 4 days ago
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Machine Learning Scientist

Posted 14 days ago
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We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint, you'll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.
Corporate Overview
Proofpoint is a leading cybersecurity company protecting organizations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That's why we're a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.
**The Role**
Proofpoint is looking for a Machine Learning Scientist to join the Algo team within the Tessian Business Unit. In this role, your key responsibility will be to analyse data, build ML models and improve algorithms at the core of our email threat detection engine that protects some of the largest businesses in the world. You will collaborate with Product and Engineering teams to identify and solve the most impactful problems applying state-of-the-art machine learning tools and techniques. You'll be surrounded by incredibly smart, talented and friendly colleagues. Engineers at Tessian love to learn from each other and pull together as a team to succeed.
*This is a Hybrid role; Cork or Belfast.
**Your day-to-day**
-Wrangle and draw meaningful insights from massive amounts of unstructured textual data using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker
-Apply unsupervised learning algorithms across billions of email interactions to identify emerging threat patterns
-Work with state-of-the-art machine learning models and techniques like encoder-decoder transformers, LLMs, anomaly detection as well as classical ML models to solve a multifaceted problem
-Engineer new features, train and deploy models to production using AWS SageMaker as the MLOps platform
-Adopt a data-driven approach to identify gaps in our detection algorithms and propose improvements to our models and algorithms
-Promote and drive ML best practices and cultivate an environment of experimentation and learning
-Stay up to date with the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable
**What you bring to the team**
Essential
- Proficiency in Python with the ability to write clean, well-structured, and maintainable code for data analysis, modeling and experimentation
- Experience contributing to multiple highly impactful machine learning projects with proven results
-Hands-on experience in the NLP domain involving training, fine-tuning and productionising transformer-based models for text classification / text-embeddings (experience with LLMs, generative AI is a plus)
-Experience monitoring and maintaining performance of models over time in production considering model/data drifts In-depth experience with one or more deep neural network frameworks (e.g. PyTorch, Tensorflow, JAX)
-A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team
Good to have
-Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements will be a plus
-Experience working on large imbalanced datasets, evaluating and selecting models that work well in production on imbalanced real-world data
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We're a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add', and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint
#LI-Hybrid
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you'll love working with us:
- Competitive compensation
- Comprehensive benefits
- Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
- Flexible work environment: (Remote options, hybrid schedules, flexible hours, etc.).
- Annual wellness and community outreach days
- Always on recognition for your contributions
- Global collaboration and networking opportunities
Our Culture:
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to . How to Apply Interested? Submit your application here . We can't wait to hear from you!
Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.
Our BRAVE Values:
At Proofpoint, we are BRAVE in everything we do, and our values aren't just words-they shape how we work, collaborate, and grow.
We seek people who are bold enough to challenge the status quo, responsive in the face of ever-evolving threats, and accountable for delivering real impact.
We value those with a visionary mindset who anticipate what's next and push cybersecurity forward, and we celebrate exceptional execution that ensures we continue to defend data and protect people.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Find your network, your allies, and your biggest fans. We know that work is simply better when you're surrounded by people who inspire you-who share ideas, cheer you on, and genuinely want to see you succeed. That's why we offer social circles, sponsored networks, and connection points across teams and time zones-to help you find your people, build your community, and thrive together.
This isn't just a job-it's a mission to protect people and defend data in a world that never slows down. We're building the future of human-centric cybersecurity, and that future belongs to all of us. We take ownership, move fast, and hold ourselves accountable-because that's what it takes to stay ahead. And we do it together, winning as one.
Be empowered to reach your full potential through meaningful challenges and personalized support-designed around you and your goals. Whether you're growing as a leader or leveling up from great to exceptional as an individual contributor, we're here to help you get there.
Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Machine Learning Engineer
Posted 2 days ago
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Machine Learning Engineer
Posted 3 days ago
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We're looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.
This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You'll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.
Key ResponsibilitiesLead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.
Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.
Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.
Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.
Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.
Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).
Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.
Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.
Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.
Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise
Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed
If you can't see what you're looking for right now, send us your CV anyway - we're always getting fresh new roles through the door.
Pricing Machine Learning Engineer
Posted 5 days ago
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Senior Machine Learning Engineer
Posted 11 days ago
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Senior Machine Learning Engineer
Posted 11 days ago
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Staff Machine Learning Engineer
Posted 2 days ago
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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 Summary: This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML frameworks, packages, and tools Experience with developing machine learning models at scale from inception to business impact Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring Experience working in a multi-cultural and multi-location organization - an advantage Team player, responsible, delivery-oriented, details-oriented Outstanding communication skills Subsidiary: PayPal Travel Percent: 0 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: Click Here to learn more about our culture and community. 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. PayPal is on a mission to revolutionize commerce globally. We're driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. Learn more at Learn more about privacy-related questions or data retention. 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Company:0603 PayPal Europe Services Limited
Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years):Senior (5+ years of experience)
Tagged as: Industry , Ireland , Machine Learning , NLP