Data Scientist
Wolters Kluwer (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 14–24 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and deliver data science and AI solutions including Machine Learning, Generative AI, and Agentic AI to improve business and customer outcomes.
- Participate across the data science lifecycle: data collection, preprocessing, model development, evaluation, integration, and production support with moderate supervision.
- Develop reusable code, APIs, pipelines and collaborate with senior data scientists and engineering teams ensuring quality, security, and governance adherence.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, ML, Statistics, Mathematics, Engineering, or related quantitative field.
- Minimum 3 years professional experience in Data Science, Machine Learning, AI, analytics, or AI-focused software development.
- Hands-on experience with data preparation, feature engineering, model development, and evaluation for business problems including ML, NLP, LLM, Generative AI, or Agentic AI solutions.
- Proficiency in Python and SQL; experience with ML frameworks (TensorFlow, PyTorch, Hugging Face) and AI-specific tools (LangChain, Azure OpenAI); effective communication skills.
Ideal Candidate Profile
- Experienced individual contributor skilled in developing and supporting AI and ML solutions in a collaborative, cross-functional environment.
- Comfortable managing moderately complex technical problems and translating business requirements into data-driven outcomes.
- Familiar with production-level practices including code reuse, automation, monitoring, security, and responsible AI frameworks in enterprise settings.