Senior Data Scientist

Role - Sr. 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.

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