Time since we first saw it
Day 21
Similar jobs usually come down between day 8 and day 60.
From 11,783 similar postings that came down. Coming down is not always a hire.
Senior Data Scientist
Pune, Maharashtra, India
Live, first seen by us 21 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingYou'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.
From the employer’s posting
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 23, 202621 days ago
- Recorded sightings
- 22
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ChiStats is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- GCP
- Hugging Face
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
- Transformers
Where the posting names them
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
Your next step
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Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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
Source details
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- Pay
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- Location & working pattern
Pune, Maharashtra, India
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- Work authorization
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