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About the role
Location & Eligibility This role offers a flexible work location across Ireland. Whether that be in the office, remote from anywhere in Ireland, or a mix of office/remote work in Ireland, you choose what works best for your lifestyle. There are quarterly team meet ups that all of the team are expected to attend in our Dublin office - a good opportunity to catch up and spend some time working together in person. Your time is valuable. To help with your application, we advise that regrettably we cannot offer work permit sponsorship/ self sponsorship for this role. The Opportunity As an ambitious and talented Lead Data Scientist joining our growing team, you will have experience of building machine learning solutions to solve complex business problems, ideally within a SAAS product focused environment. You will be adept at working through the full development pipeline from exploratory analysis to production, and comfortable working in a fast-paced environment, where agility and resourcefulness are essential. You will have the opportunity to work in a culture that values autonomy and encourages novel and creative solutions to problems - not just the same old model development process. You are a team player working within the data science team and in collaboration with the product and engineering teams to develop innovative analytical solutions. You’ll ship a product that delivers the best value for our customers in line with a clear company strategy with data science innovation as a core pillar of the product. You will work in classical machine learning tasks (classification, regression) as well as innovative Generative Ai applications. *This is an individual contributor role and does not involve people management. What You Will Be Doing Own the model development process from initial exploratory analysis and proof of concept through to production. You will be the catalyst that starts and progresses the development process and work in collaboration with colleagues to bring this to deployment Develop classification, regression and clustering models as appropriate to solve business problems Apply generative models to generate text, reports and insights as part of exciting new product features Analyse natural language text to uncover insights and transform data Develop proof of concepts to business problems including research of novel machine learning techniques and libraries to solve business problems Work with engineering colleagues to deploy models and AI solutions to production Skills & Experience To be successful in the role, you need: 5+ Years developing machine learning models and solutions, ideally in a software product focused environment Strong programming skills in Python Strong skills in NLP, foundational representations like TFIDF matrices and topic modelling as well familiarity with Word2vec, Transformers etc... Experience working with text embeddings for data extraction, classification etc.. Some familiarity with generative ai text based applications and frameworks, in particular applying generative ai models to product application development. Knowledge of frameworks such as langchain or llamaindex may be useful but not essential. Similarly familiarity with patterns like RAG would be beneficial but not essential Application of classification techniques to multiclass and multi label classification. Familiarity with base Python stack such as Numpy,SciPy, Sklearn and experience developing Neural Network models in Keras/Tensorflow/PyTorch. Application of regression techniques to predict continuous outcomes. Some familiarity with Time Series forecasting is also a plus. Clustering and segmentation analysis is also beneficial, familiarity with core algorithms like KMeans, DbScan etc.. Comfortable working with ambiguity in a fast-paced product environment A passion for building product-focused solutions that solve customer problems A track record of shipping product by working collaboratively with product and software engineering teams Ability to work autonomously The following are a bonus! Experience deploying machine learning systems to the cloud is beneficial In particular experience working with AWS machine learning stack as well as some familiarity with CI/CD tools such as Jenkins/AWS Codebuild/Bitbucket pipelines/Github actions Experience working with docker and containerised environments is a plus ; also some bash scripting experience and linux shell knowledge is advantageous. Experience working in a shared code repository with version control using git Some experience of dashboard tools such as PowerBi/Qlik/Tableau a plus but not necessary Life @ Brightflag We’re growing fast and so is the experience we can offer you: A huge opportunity to make a real impact, to shape what we do and where we are going. The exposure and challenge you need to learn, grow and progress your career in a high growth environment. Complex technical and business problems to solve and the trust and autonomy you need to go and solve them. A sound, helpful team, in a friendly, values-driven and inclusive environment. Competitive salary. 25 days of holidays. Comprehensive health insurance, life insurance and long term illness/income protection. Fully flexible work location and work patterns so you can balance life at home with life at work - come to the office, work at home… or enjoy a blend of both at your discretion. We are a diverse and inclusive bunch of people. We welcome diverse perspectives and people who make every day count and strive for constant improvement. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. About Brightflag Hi, we’re Brightflag, the AI-powered, enterprise legal management platform that helps corporate legal departments operate with greater clarity, efficiency, and control. Powered by our patented AI, which was developed with over 100,000 hours of legal and engineering expertise, and supported by our best-in-class Customer Success teams, Brightflag enables in-house legal teams to streamline operations, manage matters and spend, and collaborate more effectively with outside counsel. Today, Brightflag is trusted by leading global organizations and forms part of the Legal & Regulatory division of Wolters Kluwer, a global provider of professional information, software solutions, and services. You can learn more about Brightflag here. Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. If making a difference matters to you, then you matter to us. Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software and information solutions that the world’s leading professionals rely on, in the moments that matter most. You’ll make a real difference in the lives of millions of people. Together with our customers, we help to advance sustainability, health, justice, prosperity, and commerce around the world. You can thrive at Wolters Kluwer, where diversity is core to our collective strength and high performance. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong. Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Today, nearly 70% of our digital revenues come from AI-powered solutions, reflecting our strategic focus on embedding AI into professional workflows and delivering measurable productivity gains. We are committed to helping professionals navigate complexity, improve the way they work, and solve critical challenges through cloud-based, AI-powered platforms that integrate seamlessly into their workflows and ecosystems. Our solutions are designed to deliver impact when it matters most, especially in high-stakes environments where accuracy and trust are essential. With a nearly 190-year legacy, Wolters Kluwer continues to evolve its portfolio of digital solutions and services to meet the changing needs of professionals worldwide, enabling them to work faster, make smarter decisions, and deliver better outcomes. For more information about our solutions and organization, visit www.wolterskluwer.com, or follow us on LinkedIn, Instagram and Facebook. Wolters Kluwer has a dedicated team of experienced talent acquisition professionals who are ready to hear what makes you tick and share how Wolters Kluwer can help you achieve your goals and ambitions. Here Rasi Fawaz shares some tips on what recruiters are looking for on a resume. As a global organization, we recognize that solving a wide range of complex problems requires diverse perspectives and innovative thinking. We know that bringing our best to our customers, communities, and other key stakeholders requires a highly engaged and talented workforce – one that represents the diversity of those we serve and the communities where we live and work. We aim to provide a welcoming environment and equitable opportunities for all employees regardless of background, nationality, race, ethnicity, gender, gender identity, age, sexual orientation, marital status, disability, or religion. This principle is ingrained in our company values and articulated in our Code of Business Ethics. At Wolters Kluwer, you’ll feel valued for your contributions, and you’ll know that your health, safety, and well-being are important to us. Our well-being benefits provide tools, programs, and resources to help our diverse employees feel healthy, happy, safe, and prosperous. Our global Together we thrive well-being program reflects our commitment to supporting colleagues across physical, mental, social, and financial well-being. That commitment has been recognized externally through Ragan’s Top Places to Work for Employee Wellbeing: Large Organization in 2024. More recently, Wolters Kluwer was recognized by Forbes as one of America’s Best Large Employers 2026 and America’s Best Employers for Engineers 2026. In 2025, Wolters Kluwer was also recognized by Forbes as one of America’s Best Employers for Women. To ensure we continue to drive innovation that enables us to develop products and services to best serve our customers, we cultivate a workplace culture rooted in mutual respect, bringing forward insights from a wide range of backgrounds, perspectives, and experiences. We are also committed to complying with laws requiring equal opportunity in hiring, promotion, and other employment decisions. All qualified applicants will receive consideration without regard to race, color, religion, sex (including pregnancy, gender identity, transgender status, and sexual orientation), national origin, disability, age, genetic information, veteran status, or any other characteristic protected by applicable law, and we do not tolerate discrimination on any of these bases. GDPR Wolters Kluwer (“we” or “us”) wants to inform you about the ways we process your personal information. In this Privacy & Cookie Notice we explain what personal information we collect, use and disclose. You'll find details related to GDPR and other data privacy policies on our Careers Privacy and Cookies page.
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