9,713 Data Science Intern jobs in India

Skills – Gen AI + Data Science/Python

Level – SA

Work location – Chennai & Pune

Experience – 5+ Years

• 4+ years of experience in Machine learning/Data Science, and Python.
• 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.

Responsibilities:

• Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.
• Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.
• Prepare high-quality training data with appropriate coverage of the ESG business domain.
• Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.
• Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.
• Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.

Required Skills (Mandatory):

• At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc.
• At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.
• In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc.
• Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).
• Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.
• Proficient with parallel processing APIs such as Apache Spark and PySpark.
• Excellent problem-solving and analytical skills

About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Skills – Gen AI + Data Science/Python

Level – SA

Work location – Chennai & Pune

Experience – 5+ Years

• 4+ years of experience in Machine learning/Data Science, and Python.
• 4+ years of experience in NLP/GenAI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.

Responsibilities:

• Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.
• Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.
• Prepare high-quality training data with appropriate coverage of the ESG business domain.
• Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.
• Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.
• Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.

Required Skills (Mandatory):

• At least four years work experience in machine learning, Generative AI (GenAI) with experience in at least two of the following deep learning frameworks: SciKit-Learn, TensorFlow, MLflow, PyTorch, etc.
• At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.
• In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2Vec, Doc2Vec, etc.
• Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).
• Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.
• Proficient with parallel processing APIs such as Apache Spark and PySpark.
• Excellent problem-solving and analytical skills

About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Skills – Gen AI + Data Science/PythonLevel – SAWork location – Chennai & PuneExperience – 5+ Years4+ years of experience in Machine learning/Data Science, and Python.4+ years of experience in NLP/Gen AI/LLMs. Report to CES Innovation Lead and work under the supervision of the CES AI Science Lead.Responsibilities: Work with ESG stakeholders to understand business problems and connect these problems with solvable data science solutions.Audit the different text data assets of the CES department and determine how to analyze these data assets for insights.Prepare high-quality training data with appropriate coverage of the ESG business domain.Apply and implement the latest natural language processing (NLP) research and approaches to solve business problems.Apply Large Language Models (both open source and managed versions) to build robust multiagentic retrieval augmented generation (RAG) pipelines.Stay current with the latest research advancements in the field and apply innovative solutions to complex language processing challenges.Required Skills (Mandatory):At least four years work experience in machine learning, Generative AI (Gen AI) with experience in at least two of the following deep learning frameworks: Sci Kit-Learn, Tensor Flow, MLflow, Py Torch, etc.At least four years of experience in NLP and Large Language Models (LLMs) with a comprehensive understanding of the underlying theories and principles including expertise in areas such as tokenization, embedding techniques, sequence-to-sequence models, attention mechanisms, and transformer architecture.In-depth understanding of text analytics and NLP concepts such as lemmatization, word segmentation, part-of-speech, tagging, stemming, Named-Entity Recognition, word2 Vec, Doc2 Vec, etc.Proficient in Machine Translation and Optical Character Recognition (OCR) for complex document processing (PDF, Word Documents, Scanned Documents).Expertise in Python with strong object-oriented design and programming skills with familiarity with CI/CD concepts.Proficient with parallel processing APIs such as Apache Spark and Py Spark.Excellent problem-solving and analytical skills

Requirements & Qualifications:

• Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline.
• Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning.
• 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have.
• Familiarity with PySpark and Databricks is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

• Development of machine learning models
• Building and maintaining software development solutions
• Provide insights by applying data science methods
• Take ownership of delivering features and improvements on time

Must-have Qualifications

• Strong programming skills and extensive experience with Python
• Professional experience working with LLMs, transformers and open-source models from HuggingFace
• Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks
• Knowledgeable in classic machine learning algorithms (NLP, SVM, Random Forest, Naive Bayes, KNN etc).
• Experience using deep learning libraries and platforms, such as PyTorch
• Experience with frameworks such as Sklearn, Numpy, Pandas, Polars
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills

Extra Merit Qualifications

• Knowledge in at least one of the following: NLP, information retrieval, datamining
• Ability to do statistical modeling and building predictive models
• Programming skills and experience with Scala and/or Java