Role - Sr. Data Scientist Work Exp - 4-6 years Location - Pune, Maharastra Preferred - Candidates with prior experience in the Insurance domain will be given preference. Role Summary We are seeking a Senior Data Scientist with 4-6 years of hands-on experience in developing machine learning and deep learning models, with a strong focus on text analytics and Natural Language Processing (NLP). The ideal candidate will be responsible for end-to-end ownership - from understanding requirements to designing, developing, and delivering scalable AI solutions. You'll work on cutting-edge projects involving NLP, text analytics, and text generation, while mentoring junior team members and contributing to the innovation culture at ChiStats. Requirements Key Responsibilities: - Collaborate with cross-functional stakeholders to gather and translate business requirements into technical solutions. - Design and implement innovative machine learning and deep learning solutions, particularly in NLP and text analytics. - Build, train, and validate models for text analytics, NLP, and text generation tasks. - Perform exploratory data analysis, feature engineering, and statistical modeling. - Evaluate model performance and conduct experiments for optimization and fine-tuning. - Communicate findings, insights, and technical concepts clearly to both technical and non-technical audiences. - Stay current with advancements in machine learning, NLP, and GenAI technologies. - Mentor and guide junior team members, promoting a culture of technical excellence and collaboration. Required Skill Set : - Strong analytical and problem-solving skills. - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related fields. - Proven expertise in text analytics, NLP, machine learning, and deep learning. - Proficient in Python and associated libraries (NumPy, Pandas, Scikit-learn, NLTK, spaCy). - Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. - Experience using Hugging Face Transformers for training, fine-tuning, and validation. - Strong understanding and practical experience with models like BERT, T5, BART, or FLAN-T5. - Experience in hyperparameter tuning and model optimization in at least one real-world project. - Experience designing RAG pipelines and multi-agentic AI solutions. - Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment. Good-to-Have Skill Set : - In-depth understanding of transformer architectures and advanced NLP techniques. - Experience working with generative models (e.g., GANs, VAEs, GPT). - Familiarity with LangChain, LlamaIndex, or related GenAI development frameworks. - Preferrable from Insurance background