25 Data Mining jobs in Ireland

Data Analytics Technician

Dublin, Leinster National Treasury Management Agency

Posted 4 days ago

Job Viewed

Tap Again To Close

Job Description

Role Profile Job Title: Data Analytics Technician Division: People Function (HR) Reports to: Senior Manager - HR Operations and MI Job Family: Corporate Services Career Stream: Professional Career Zone: Administrative roles Contract: Permanent ** Closing date for applications - 11/08/25 ** Summary of the Business The National Treasury Management Agency (NTMA) provides asset and liability management services to the Irish Government. It has evolved from a single function agency managing the National Debt to a manager of a complex portfolio of public assets and liabilities. Businesses managed by the NTMA include borrowing for the Exchequer and the management of the National Debt, the State Claims Agency, the New Economy and Recovery Authority ("NewERA"), the Ireland Strategic Investment Fund, National Development Finance Agency and the NTMA Future Ireland Funds business unit with responsibility for the management of the Future Ireland Fund and Infrastructure, Climate and Nature Fund. The NTMA also assigns staff to the National Asset Management Agency, the Strategic Banking Corporation of Ireland (SBCI) and Home Building Finance Ireland (HBFI). Role Summary We are seeking a motivated and organised Data Analytics Technician who will support multiple operational and finance projects across thePeople team (HR) as well as having the opportunity to work with colleagues throughout the agency. In this role, you will support the People Functions (HR) strategic initiatives through effective reporting and analysis and manage the day-to-day operations, reporting and data analytics that enhance the employee experience, and liaising with the NTMA Finance function. The successful candidate will be comfortable working independently and collaboratively with others in HR and the wider Agency. Principal Accountabilities HR Reporting, Analytics, AI and Insights: Design and deliver people-related reports and dashboards for regular and ad-hoc reporting including monthly reports Ensure data accuracy through assessments, troubleshooting, and escalation of HR data issues Develop new reporting dashboards and tools, adding value to the HR team and wider organisation Review and analyse budgets and financial expenditure across the People Function Lead projects aligned with the People strategy from inception to completion, ensuring timely delivery Support the People Policy Partner Co-Pilot Agent, ensuring reliable performance, timely issue resolution, and continuous improvement based on user feedback and periodic health checks Contribute to the HR Transformation project, assisting with key milestones such as data cleansing and testing AdditionalResponsibilities HR Procurement and Contract Management: Support the delivery of the annual procurement calendar for HR in a timely and efficient manner and in line with current policy and procedures. Update and monitor the CRM system to ensure HR tender requirements are progressing and keep the people function apprised regarding procurement status Liaise with Procurement and Legal Departments in relation to administration issues around the publication of tenders, Q&A, tender panels, contract issues, etc. ensuring projects are completed on time and in line with requirements HR Operations, Risk Management, Compliance and Audit: Assist in the periodic audit of files and processes to ensure compliance. Work with the HR Operations and MI Manager to update the risk register, and on compliance and audit requirements, including the quarterly and annual sign offs and attestations by the Senior HR team. Liaise with Risk, Compliance and Audit in relation to best practice and the implementation of policy changes within the HR department. Coordinate and assist other areas of HR in relation to internal and external audits as required. GDPR, Data Protection and File Management: Collaborate with the wider HR team in relation to Data Protection and document management. Support GDPR/ Data Protection initiatives within the HR team liaising with compliance, DPO and records management teams Ensure that the HR data inventory, document management and retention schedules are kept up to date. Experience / Skills Ability to effectively prioritise and complete key tasks and deliverables with a high attention to detail. Organised approached to work Word, Excel, Outlook and MS teams experience desirable Strong written, verbal, numerical and skills attention to detail Be able to demonstrate creative and innovative approaches to enhancing processes / operations. Ability to work as part of team and on own initiative. Previous administration experience required. Relevant HR experience would be advantageous. Knowledge of relevant national and EU legislation including, Data Protection, Procurement and Employment legislation and advantage Working at the NTMA offers excellent benefits including: Flexible work options including hybrid working and variable work hours An extensive wellbeing programme Excellent learning and development opportunities that allow for full career development within the organisation A diverse range of initiatives: LGBT+, Gender Matters, Disability Awareness, Sports & Social, Volunteering and lots more Reimbursement of annual professional membership fees Career average Defined Benefit Pension Scheme Pension Abatement If an appointee has previously been employed in the Civil or Public Service and that appointee is entitled to or in receipt of a pension from the Civil or Public Service or where a Civil/Public Service pension comes into payment during the appointee's re-employment that pension will be subject to abatement in accordance with Section 52 of the Public Service Pensions (Single Scheme and other Provisions) Act 2012. Please note: In applying for this position, you are acknowledging that you understand that the abatement provisions, where relevant, will apply. It is not envisaged that the employing Department/Office/Body will support an application for an abatement waiver in respect of appointments to this position. Applicants will be required to complete a pre-employment declaration to confirm whether they have previously availed of a Public sector pension scheme. The NTMA is proud to be an equal opportunities employer. We recognise that a diverse and inclusive workplace informs better decision making, creative thinking, innovation and drives business performance. We are strongly committed to ensuring that our workforce is representative of our society. Prifl an Ril Teideal an Phoist: Comhairleoir Anailsochta Daoine agus Oibrochta Rannn/Feidhm: Daoine Freagrach do: Bainisteoir Sinsearach - Oibrochta AD agus FB (Faisnéis Bhainistochta) Fine Poist: Seirbhs Corparideacha Sruth Gairme: Gairmiil Crios Gairme: Ril riarachin Achoimre ar an nGnlacht Solthraonn Gnomhaireacht Bainistochta an Chistein Nisinta (GBCN) seirbhs bainistochta scmhainn agus dliteanas do Rialtas na hireann. T GBCN tar éis athr ghnomhaireacht aonfheidhme a bh ag bainisti an Fhiachais Nisinta go gnomhaireacht a bhainistonn punann chasta scmhainn agus dliteanas poibl. I measc na ngnlachta at faoi bhainistocht GBCN, t iasachta a fhil don Sttchiste agus bainistocht a dhéanamh ar an bhFiachas Nisinta, an Ghnomhaireacht um ilimh ar an Stt, an tdars um Gheilleagar Nua agus um Théarnamh (" NewERA "), an Ciste Infheistochta Straitéis d'irinn agus an Ghnomhaireacht Airgeadais d'Fhorbairt Nisinta. Sannann GBCN baill foirne chomh maith don Ghnomhaireacht Nisinta um Bainistocht Scmhainn, do Chorparid Baincéireachta Straitéiseach na hireann (SBCI) agus do Mhaoini Teaghais-Tgla ireann. T buntist iontacha ag baint le bheith ag obair in GBCN, lena n-irtear: Roghanna um obair chumaisc Aisocaocht till bliantla i leith comhaltas gairmiil Scéim sochar sainithe pinsin bunaithe ar mhentuilleamh gairmréime Clr f airsing f olline Réimse éagsil tionscnamh: LADT+, Crsa Inscne, Feasacht ar Mhchumas, Club Spirt & Sisialta, Obair Dheonach agus go leor eile Deiseanna den scoth um fhoghlaim agus forbairt a cheadaonn forbairt iomln gairme laistigh den eagraocht Achoimre ar an Rl Timid ag lorg Comhairleora spreagtha agus eagraithe a thacidh le tionscadail oibrochtla iomadla ar fud na foirne Daoine, chomh maith le deis a bheith aige oibri le comhghleacaithe ar fud na gnomhaireachta. Sa rl seo, tacidh an té a cheapfar le tionscnaimh straitéiseacha na bhFeidhmeanna Daoine tr thuairisci agus anails éifeachtach a dhéanamh, agus déanfaidh sé/s bainistocht ar na hoibrochta laethla, an tuairisci agus an anailsocht sonra a fheabhsaonn eispéireas na an té a cheapfar compordach ag obair go neamhsplech agus i gcomhar le daoine eile sa Ranng Acmhainn Daonna agus sa Ghnomhaireacht go ginearlta. Promhfhreagrachta Tuairisci AD, Anailsocht, Intleacht Shaorga agus Léargais Tuarasclacha agus deaiseanna a bhaineann le daoine a dhearadh agus a sholthar le haghaidh tuairiscithe ar bhonn rialta agus ad hoc, lena n-irtear tuarasclacha mosla. Cruinneas sonra a chinnti tr mheasnuithe, fabhtcheart agus géar a dhéanamh ar shaincheisteanna sonra AD Deaiseanna agus uirlis tuairiscithe nua a fhorbairt, rud a chuirfidh luach leis an bhfoireann AD agus leis an eagraocht go ginearlta. Athbhreithni agus anailsi buiséid agus caiteachas airgeadais a dhéanamh ar fud na Feidhme Daoine Ceannaireacht a dhéanamh ar thionscadail at i gcomhréir leis an straitéis Daoine n ts go dt an deireadh, ag cinnti go gcuirtear ar fil go trthil iad. Tac leis an nGnomhaire um Beartas Daoine Co-Pilot, rud a chinnteoidh feidhmocht iontaofa, réiteach trthil fadhbanna, agus feabhs leannach bunaithe ar aiseolas sideoir agus seicelacha slinte tréimhsila. Cur leis an tionscadal um Chlaochl AD, ag cuidi le garspriocanna tbhachtacha amhail glanadh sonra agus tstil a bhaint amach Freagrachta maidir le Solthar AD agus Bainistocht Conartha: Tac chun féilire bliantil solthair a chur ar fil don Ranng AD ar bhealach trthil agus éifeachtil, agus i gcomhréir leis an mbeartas agus na nsanna imeachta reatha. Nuashonr agus monatireacht a dhéanamh ar an gCras do Bhainistocht ar Chaidreamh le Custaiméir lena chinnti go bhfuil dul chun cinn dhéanamh maidir le ceanglais tairisceana AD agus an fheidhm daoine a choinneil ar an eolas maidir le stdas an tsolthair. Dul i dteagmhil leis na Rannga Solthair agus Dl maidir le saincheisteanna riarachin a bhaineann le foilsi tairiscint, Ceisteanna & Freagra, painéil tairisceana, saincheisteanna conartha, etc. ag cinnti go gcuirtear tionscadail i gcrch in am agus i gcomhréir leis na ceanglais. Oibrochta AD, Bainistocht Riosca, Comhlonadh agus Inichadh Cuidi le hinichadh tréimhsiil ar chomhaid agus ar phrisis chun comhlonadh a chinnti. Oibri leis an mBainisteoir Oibrochta AD agus Faisnéis Bhainistochta chun an clr riosca a nuashonr, agus maidir le ceanglais chomhlontachta agus inichireachta, lena n-irtear na snithe agus na dearbhuithe rithila agus bliantla n bhfoireann Shinsearach AD. Teagmhil a dhéanamh leis an Ranng Riosca, Comhlonadh agus Inichireachta maidir leis an dea-chleachtas agus cur i bhfeidhm athruithe beartais laistigh den ranng AD. Comhord a dhéanamh ar réims eile AD agus cnamh a thabhairt dibh i ndil le hinichta inmhenacha agus seachtracha, de réir mar is g. Freagrachta maidir le RGCS, Cosaint Sonra agus Eagr Comhad Comhoibri leis an bhfoireann AD go ginearlta i ndil le Cosaint Sonra agus bainistocht doiciméad. Tac le tionscnaimh RGCS/Cosaint Sonra laistigh den fhoireann AD agus idirchaidreamh a dhéanamh le foirne comhlontachta, an tOifigeach Cosanta Sonra agus foirne bainistochta taifead. A chinnti go gcoimedtar fardal sonra AD, bainistocht doiciméad agus sceidil choinnela cothrom le dta. Taith/Scileanna Cumas tosaocht a thabhairt do phromhthascanna agus do thirg inbhainte agus iad a chur i gcrch ar bhealach éifeachtach agus aird ar leith tabhairt ar mhionsonra. Cur chuige eagraithe i leith na hoibre T taith ar Word, Excel, Outlook agus MS Teams inmhianaithe Scileanna lidre uimhrila, i scrbhinn agus bhéal, uimhrila agus pointeilte Bheith in ann cuir chuige cruthaitheacha agus nulacha a léiri chun prisis/oibrochta a fheabhs. Cumas oibri mar chuid d'fhoireann agus ar a c h onln féin. Is g taith riarachin a bheith ag an té a cheapfar. Bheadh taith bhartha AD ina buntiste. Eolas ar reachtaocht bhartha nisinta agus AE, lena n-irtear reachtaocht um Chosaint Sonra, Solthar agus Fostaocht agus buntiste The NTMA is proud to be an equal opportunities employer. We recognise that a diverse and inclusive workplace informs better decision making, creative thinking, innovation and drives business performance. We are strongly committed to ensuring that our workforce is representative of our society. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.
This advertiser has chosen not to accept applicants from your region.

Data Analytics & Shopper Marketing Manager

Dublin, Leinster Nestle

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

**Position Snapshot**
**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!
This advertiser has chosen not to accept applicants from your region.

Data Analytics & Shopper Marketing Manager

Dublin, Leinster Nestlé

Posted 4 days ago

Job Viewed

Tap Again To Close

Job Description

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) 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, were on a mission to enrich the lives of pets, the people who love them, and the planet we share. Join us, and youll discover a world where your skills, knowledge, and passion can flourish. As part of our supportive and dynamic environment, youll be encouraged to challenge norms, experiment with new ideas, and drive meaningful change. At Purina, youre not just part of a team; youre 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 Managerto 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 NestléPurina. 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 apassionate self-starter with a curious and creative mindset to succeed in an exciting, fast paced channel. You willbe comfortable working in an agile environment managing multiple projects at 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 dont 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 ( 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!
This advertiser has chosen not to accept applicants from your region.

Machine Learning Scientist

Cork, Munster Proofpoint

Posted 14 days ago

Job Viewed

Tap Again To Close

Job Description

About Us:
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.
This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

Galway, Connacht CVS Health Ireland

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved! We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised. CVS Health is focused on driving business agility and growth through technology, data, digital and experiential innovations. 'Digital First, Technology Forward and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth. Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. As we reflect on our learnings and successes from remote work, we aim to provide a new state of the art flexible work environment in our Galway facility at Bonham Quay to support those objectives. Careers with offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office. Position Summary The ML Engineer, part of the broader Retail Analytics Engineering department, supports the Price Value & Assortment Analytics organization in the development of AI/ML driven analytical solutions at scale. The ML Engineer will actively collaborate with Data Scientists to successfully optimize, and scale complex ML models & optimizer solvers that enable highly dynamic & sophisticated pricing and promotion strategies. The incumbent in this role will have the opportunity to work on challenging business problems leveraging cutting-edge technologies including Big Data, Distributed Computing, and Machine learning. Key job duties include: Partner with data scientists to train, optimize, scale and support AI/ML models. Translating functionality into scalable, tested, and configurable platform architecture and software. Ensure models are integrated into production systems with high reliability and performance. Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements. Build frameworks, reusable modules, and author best practices and standards to enable self-serve capabilities that enable data scientists to deploy solutions quickly and efficiently. Required Qualifications: 3+ years professional experience in implementing ML and Data Engineering at scale. 3+ years of experience with Python & SQL programming language. 3+ years' experience with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes). 3+ years of experience in building cloud native analytical solutions, either on Azure or GCP. 1+ years designing, implementing, and optimizing machine learning algorithms and models using open-source machine learning frameworks such as TensorFlow, PyTorch, and XGBoost. 1+ years' experience in end-to-end ML implementation lifecycle including feature engineering, training, inference, model drift measurement, and model observability. 1+ years' experience in building data engineering pipelines, and metric aggregation layers. Preferred Qualifications: Experience working in Retail domain with a strong functional understanding of product pricing and promotion strategies is a plus. Experience in Google Cloud platform including Big Query, Vertex AI. Hands-on experience working in scalable distributed computation frameworks like Spark or Dask. Expertise with working with open-source ML platforms & toolsets such as Kubeflow, Airflow and Feast is preferred. Experience in deploying supervised machine learning, time series modeling, CNNs, ensemble models. Exposure to deploying ML optimization models such as Pyomo/ IPOPT. Exposure in implementing Gen AI and/or NLP based solutions using LLMs. Education: Bachelor's degree in computer science or equivalent. Master's degree preferred. To Apply Please forward your CV via the APPLY Now button below.
This advertiser has chosen not to accept applicants from your region.

Machine Learning Engineer

Dublin, Leinster €125000 - €150000 Annually Harnham Ltd

Posted 3 days ago

Job Viewed

Tap Again To Close

Job Description

permanent
Staff Machine Learning Engineer - Pricing

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 Responsibilities

Lead 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.

This advertiser has chosen not to accept applicants from your region.

Pricing Machine Learning Engineer

Dublin, Leinster Aviva (EG)

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

Aviva is seeking a talented and drivenPricing Machine Learning Engineer to join our Personal Lines Insurance Pricing Team. This is a key role in shaping the future of pricing for Motor and Home Insurance, helping us maintain our position as a market leader through innovation, fairness, and technical excellence. Duties & Responsibilities: Build Machine Learning White Box models for Motor and Home Insurance pricing. Create innovative new rating factors to be the first of their kind in Irish or UK Insurance Tailor the rating approach to autonomous vehicles and electric cars Develop new automated optimisers to optimise profit in fair ways. Streamline feature engineering scripts to produce rating factors aiming for efficiency and simplicity. Skills & Experience: Previous experience working in General or Life Insurance isessential. A degree in a quantitative discipline (e.g., Data Science, Machine Learning, Actuarial Science) Strong command of machine learning techniques and their application in real-world pricing problems. Proficiency in SQL for data extraction and manipulation. Excellent communication skillscomfortable presenting technical insights to both technical and non-technical stakeholders. What will you get for this role? Competitive market leading salary depending on skills, experience, and qualifications. Generous pension (employee contribution matching of up to 14% if you contribute 8%) Annual performance related bonus and pay review. Holiday allowance of 25 days plus bank holidays, and the option to buy/sell up to 5 additional days. Generous Health & dental insurance contributions after six months Aviva Matching Share Plan and Save As You Earn scheme and Approved Profit Share Scheme Cycle to Work benefit scheme. TaxSaver Travel Scheme Family friendly parents (matching paternity and maternity leave) and carers leave. Up to 40% discount for some Aviva products plus discounts for Friends and Family Employee Assistance Programme Volunteering days Professional qualification support and transparent career progression plans Aviva is for Everyone Our diversity and inclusion policies and initiatives are shaping an environment where everyone feels welcome regardless of age, disability, race, ethnicity, gender, gender identity, religion, culture, sexual orientation, national origin, marital status, pregnancy, maternity or those with other caring responsibilities. Our approach helps to ensure that Aviva is a place which values difference and provides equal opportunities for all. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Data mining Jobs in Ireland !

Senior Machine Learning Engineer

Galway, Connacht Reperio Human Capital Ltd

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Senior Machine Learning Engineer Location: Galway Salary: € Hybrid Reperio are working with a large fintech company who are seeking a Senior ML Engineer to join their ever-expanding team. The successful candidate will play a crucial role in designing developing and deploying scalable ML models in production environments. You will lead the end-to-end ML lifecycle, from data preparation, model, evaluation, deployment and monitoring. Requirements: 5+ years of experience in ML engineering, data science, or applied machine learning roles Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of computer science fundamentals (algorithms, data structures, software design) Experience with ML Ops tools and cloud platforms (e.g., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes) Proven track record of deploying ML models into production Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience with LLMs, deep learning, or NLP systems Familiarity with big data technologies (Spark, Hadoop, etc.) Benefits: Pension Healthcare Bonus Excellent career progression opportunities Flexible hybrid working model with remote options available If this role as a Senior ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python MLOps LLMs Galway Hybrid Benefits: Work From Home
This advertiser has chosen not to accept applicants from your region.

Senior Machine Learning Engineer

Dublin, Leinster Reperio Human Capital Ltd

Posted 11 days ago

Job Viewed

Tap Again To Close

Job Description

Senior Machine Learning Engineer Location: Dublin Salary: € Hybrid Reperio have partnered with a large e-commerce company who are undergoing major expansion plans within their Data & AI team. As they expand our AI initiatives, they're looking for a Senior Machine Learning Engineer to join them in building robust, scalable ML systems that drive real impact for their users. You will own and evolve their ML infrastructure whilst leading the technical direction for ML projects. Requirements: 5+ years of industry experience in machine learning, data science, or applied AI. Strong coding skills in Python and deep experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Solid understanding of ML algorithms, statistical modelling, and evaluation techniques. Experience deploying models to production (e.g., via Docker, Kubernetes). Strong knowledge and experience working with AWS cloud stack. Proficiency in data handling and preprocessing with tools like Pandas, Spark, or SQL. Ability to communicate complex technical topics clearly to both technical and non-technical stakeholders. Nice to Have: Experience with MLOps platforms (e.g., MLflow, SageMaker, Vertex AI). Background in deep learning, LLMs or NLP. Benefits: Pension Healthcare Bonus Stock options If this role as an ML Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio. Reperio Human Capital acts as an Employment Agency and an Employment Business. Skills: Senior ML Engineer Python AWS NLP Dublin Hybrid
This advertiser has chosen not to accept applicants from your region.

Staff Machine Learning Engineer

Meath, Leinster €125000 - €150000 Annually NLP PEOPLE

Posted 2 days ago

Job Viewed

Tap Again To Close

Job Description

permanent

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. If you would like your profile to be deleted from our system, please let us know Please note that this site has updated features that can't run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience. When applying for a job you are required to create an account, if you have already created an account - click Sign In. Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account: Provide full legal First Name/Family Name - this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name. Please avoid using fully capitalized text for your First and/or Last Name. NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID. Please note that this site has updated features that can't run on older versions of Internet Explorer. Please use IE11 or MS Edge for an optimal experience.

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

This advertiser has chosen not to accept applicants from your region.
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Data Mining Jobs