3,279 Data Science jobs in India

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/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/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

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

Company Overview

GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.

Job Overview

We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.

Qualifications and Skills

• Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
• Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
• Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
• Experience with payroll processing, reflecting an understanding of financial data management.
• Data visualization skills to communicate data insights effectively. (Mandatory skill)
• Ability to work independently and collaboratively within a team to achieve common objectives.
• Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
• Excellent communication skills, both written and verbal, to present data findings clearly.

Roles and Responsibilities

• Analyze large datasets to discover trends and patterns that support business objectives.
• Collaborate with team members to understand data requirements and design analytical solutions.
• Develop and implement data models to optimize business processes and improve operational efficiency.
• Create intuitive data visualizations and dashboards to present insights to stakeholders.
• Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
• Support the companys data-driven culture by promoting and educating team members on data importance.
• Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
• Stay updated on industry trends and advancements in data science to apply best practices.