Senior Data Scientist
First seen by Alion on Oct 23, 2026.
Job Description :
Role : Senior Data Scientist
Work Exp : 4 - 6 years
Location : Pune, Maharastra
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.
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.
Skills
Data Science, Machine Learning, NLP, Python, Deep Learning, Tensorflow, PyTorch, Generative AI, LangChain, Numpy