About the Role As a Data Scientist II, you will contribute to the design, development, testing, and delivery of data science, Machine Learning, Generative AI, and Agentic AI solutions that address business needs and improve customer experiences. You will apply statistical analysis, predictive modeling, Large Language Models, Retrieval-Augmented Generation, and modern AI frameworks to build reliable analytical and intelligent capabilities. This individual contributor role participates across the data science lifecycle, from data collection and preprocessing through model development, evaluation, integration, and production support. Working with a moderate level of guidance, you will solve complex technical problems, collaborate with senior data scientists and cross-functional partners, and expand your knowledge of enterprise AI technologies, business processes, and customer needs. Key Responsibilities Develop data science and AI solutions: Prepare and analyze structured and unstructured data, engineer features, and contribute to predictive models, NLP and LLM solutions, RAG pipelines, intelligent assistants, and Agentic AI workflows. Evaluate and improve solution quality: Apply suitable metrics, test datasets, error analysis, experiment tracking, model validation, performance testing, and responsible AI checks to improve accuracy, relevance, reliability, latency, and cost. Support deployment and engineering: Build reusable code, APIs, notebooks, pipelines, containers, model artifacts, monitoring components, and automated workflows with engineering and senior data science team members. Collaborate, communicate, and maintain standards: Translate requirements into assigned deliverables, communicate insights through visualizations, prototypes, reports, and documentation, and manage code, data, and experiments in line with security, privacy, governance, version control, responsible AI, and current ML and AI practices. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field. 3+ years of relevant professional experience in Data Science, Machine Learning, Artificial Intelligence, analytics, or AI-focused software development. Hands-on experience preparing data, conducting exploratory analysis, building features, developing models, and evaluating results for practical business problems. Experience contributing to at least one Machine Learning, NLP, Generative AI, LLM, RAG, or Agentic AI solution through development, testing, integration, or production support. Working knowledge of model validation, experiment design, performance metrics, data quality, and reproducible development practices. Ability to complete a range of technical assignments and solve moderately complex problems within established policies, procedures, and architectural patterns. Effective written and verbal communication skills, including the ability to explain complex information clearly in straightforward situations. Strong collaboration, learning agility, attention to detail, and problem-solving skills. Technical Skills Programming and analytics: Proficiency in Python and SQL, with hands-on experience in Pandas, NumPy, Scikit-learn, Jupyter, data preparation, feature engineering, analysis, and visualization using Matplotlib, Seaborn, Tableau, or Power BI. Machine Learning, statistics, and NLP: Practical knowledge of supervised and unsupervised learning, model selection and evaluation, statistical analysis, experimentation, and foundational deep learning and NLP concepts using frameworks such as TensorFlow, PyTorch, Hugging Face, or SpaCy. Generative AI and Agentic AI: Experience with prompt engineering, embeddings, vector search, RAG, LLM evaluation, document-based use cases, tool-enabled agents, and workflow orchestration using frameworks such as LangChain or LangGraph, with exposure to Azure OpenAI, Azure Machine Learning, MLflow, and model APIs. Engineering, cloud, and governance: Experience with reusable Python code, REST APIs, Git, unit testing, CI/CD, containers, databases, data pipelines, and cloud services, with awareness of monitoring, observability, security, privacy, cost, explainability, and responsible AI practices. Success Measures Success in this role is measured through: Accurate, timely, and well-documented data preparation, analysis, and reporting. Reliable contributions to Machine Learning, Generative AI, and Agentic AI development, testing, integration, and production support. Measurable improvement in model or application quality, including accuracy, relevance, reliability, latency, cost, or user experience. Clear visualizations and actionable insights that support product and business decisions. Reusable, maintainable code and effective automation of repeatable data and AI workflows. Consistent adherence to data quality, security, governance, responsible AI, documentation, and team development standards. Effective collaboration with senior data scientists, engineering teams, product partners, and business stakeholders. Demonstrated growth in technical capability, business understanding, and ownership of moderately complex assignments. 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.

Data Scientist.

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