Senior Data Scientist

Job description

About the Role: The Senior Data Scientist is responsible for designing, developing, and delivering advanced Artificial Intelligence and Agentic AI solutions that address complex business challenges and enhance customer experiences. This role combines expertise in Data Science, Machine Learning, Generative AI, and software architecture to deliver scalable, production-ready AI products and platforms. The position serves as a senior technical contributor who collaborates across Product, Engineering, Data, and Business teams to define solution strategies, drive implementation, and ensure successful delivery of AI-enabled capabilities. The role requires strong technical depth, business understanding, architectural thinking, and the ability to independently lead large and complex initiatives from concept through production deployment. This aligns with your demonstrated work on AI architecture, product specifications, performance engineering, and agent-based solutions. Key Responsibilities: Design, develop, and deploy scalable AI, Machine Learning, Generative AI, and Agentic AI solutions, including intelligent assistants, copilots, conversational systems, and enterprise-grade AI products that solve complex business problems and deliver measurable value. Translate business requirements into scalable AI architectures and technical solutions by defining solution designs, integration strategies, technical specifications, data flows, and implementation approaches while ensuring alignment with security, governance, reliability, maintainability, and responsible AI standards. Develop, evaluate, and optimize AI and machine learning models and platforms, establishing testing frameworks, performance metrics, monitoring, observability, and production-readiness practices to improve accuracy, scalability, efficiency, and business impact. Lead end-to-end delivery of AI initiatives by driving solution development, deployment, operationalization, troubleshooting, continuous improvement, enterprise integrations, and collaboration with engineering teams to build scalable data pipelines and AI workflows. Partner with Product Managers, Engineering teams, and business stakeholders to define product capabilities, technical requirements, roadmaps, and best practices while providing technical leadership, influencing architectural decisions, and effectively communicating complex concepts to technical and non-technical audiences. Required Qualifications: Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related field. 8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, or software development. Demonstrated experience delivering production-grade AI or machine learning solutions. Strong experience with Generative AI, Large Language Models, and modern AI frameworks. Experience designing scalable enterprise applications and distributed systems. Proven track record of independently owning and delivering complex technical initiatives. Strong stakeholder management and cross-functional collaboration skills. Technical Skills: Advanced expertise in Artificial Intelligence, Data Science, Machine Learning, and Generative AI, including Agentic AI, Large Language Models (LLMs), Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Prompt Engineering, Statistical Modeling, Predictive Analytics, Quantitative Analysis, Data Mining, Data Analysis, and Applied AI solution development. Strong hands-on experience with modern AI and data science frameworks and tools, including LangChain, LangGraph, Azure OpenAI, NoSQL, Azure Machine Learning, TensorFlow, MLflow, LlamaFactory, Unsloth, Scikit-Learn, Pandas, NumPy, Matplotlib, SpaCy, GPT models, Embeddings, and Vector Search technologies. Proficiency in Python, SQL, API development, FastAPI, Flask, distributed systems, cloud-native application development, CI/CD practices, Git, Jupyter, and modern software engineering practices for production-grade AI solutions. Experience designing, developing, and deploying enterprise-scale solutions on Azure, Azure AI Services, Azure Machine Learning, Azure OpenAI, Cosmos DB/Dynamo DB, cloud-based AI platforms, and containerized environments. Strong understanding of data engineering and analytics, including data pipelines, data cleansing, wrangling, visualization, feature engineering, experiment design, model evaluation, data modelling, analytics, business insights, and AI performance measurement methodologies. Expertise in building scalable Conversational AI, Intelligent Agents, Multi-Agent Systems, Knowledge Retrieval platforms, AI orchestration frameworks, enterprise integrations, and production AI systems, including fine-tuning, reasoning, document understanding, summarization, classification, and question-answering solutions. Experience applying advanced machine learning techniques including classification, clustering, recommendation systems, forecasting, ensemble learning, hyperparameter tuning, feature selection, embedding-based modelling, similarity search, and model optimization. Success Measures Success in this role is measured through: Delivery of scalable AI and Data Science solutions that create measurable business impact. Successful implementation of Generative AI and advanced analytics capabilities. High-quality technical designs and architectural contributions. Improvement of platform performance, reliability, and user experience. Effective collaboration across product, engineering, and business teams. Technical leadership and influence across AI initiatives. Consistent ownership and successful completion of complex projects and workstreams. 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,