Data Scientist – AI Modelling (3 -5 years only)

Job Title: Data Scientist – AI Modelling (3 -5 years only) Company: Wolters Kluwer Job Category: Machine Learning Roles & Responsibilities: About The Role The FCC DnA team is seeking an experienced Data Scientist to join our AI Modeling team and develop scalable Machine Learning, statistical and AI solutions. Key Responsibilities * Translate business problems and requirements into appropriate analytical and modeling approaches. * Independently design, develop and evaluate statistical and Machine Learning models. * Establish appropriate baseline and challenger models and objectively compare alternative approaches. * Perform exploratory analysis, feature engineering, feature selection and data\-quality assessment. * Define appropriate model evaluation metrics based on the business problem and the cost of different types of errors. * Apply cross\-validation, hyperparameter tuning, out\-of\-sample testing and other robust validation techniques. * Conduct detailed error analysis, sensitivity analysis and model diagnostics. * Identify and address issues such as data leakage, class imbalance, multicollinearity, sampling bias and overfitting. * Evaluate model explainability, stability and performance trade\-offs. * Clearly document model methodology, assumptions, limitations and validation results. * Partner with Engineering and MLOps teams to transition models from experimentation into production. * Support model monitoring, performance tracking and drift analysis after deployment. * Build reusable modeling components and frameworks that can be leveraged across multiple use cases. * Contribute to NLP, Generative AI, RAG and hybrid AI solutions where appropriate. * Mentor junior Data Scientists and conduct code and model reviews. * Communicate modeling recommendations and trade\-offs effectively to business, Product and technical stakeholders. * Strong Python and modern Data Science ecosystem experience. * Strong SQL and data manipulation skills. * Experience developing production\-quality, reusable modeling code. * Familiarity with APIs and frameworks such as FastAPI. * Familiarity with Git, Docker, CI/CD, cloud platforms such as Azure/AWS and MLOps practices. * Experience with model deployment, monitoring and versioning is preferred. * Experience with NLP, Generative AI, LLMs, embeddings, RAG or Agentic AI is desirable and will enable contribution across broader AI initiatives. * Ask which modeling approach is most appropriate for the problem and can explain why. * Challenge assumptions rather than automatically selecting the most complex algorithm. * Are comfortable working with ambiguous business problems and defining a structured analytical approach. * Balance experimentation with analytical rigor and production considerations. * Take ownership of modeling workstreams and independently drive them to completion. * Clearly articulate model performance, assumptions, limitations and business implications. * Mentor junior team members and raise the quality of modeling practices around them. * Collaborate effectively with Product, Engineering and business stakeholders. * Remain current with developments across statistical modeling, Machine Learning and broader Applied AI. Work Location: Pune/Pimpri-Chinchwad Area Availability: Full time

Experience Required Qualifications Technical Skills Education Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Computer Science, Artificial Intelligence, Engineering, Economics or another quantitative discipline. 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. Key Skills: Machine Learning, Python, Feature Engineering, NLP Salary: Not disclosed