9,150 Data Science jobs in India

Job Description – Data Science Trainer

Location: Nal Stop, Pune

Job Description : Minimum 1 years experiance

Key Responsibilities:

• Conduct in-depth training sessions on Python, Data Analysis, Statistics, and Machine Learning.
• Develop and update course materials, assignments, and real-world project modules.
• Guide students through hands-on projects, providing technical and conceptual support.
• Continuously upgrade knowledge of tools like pandas, NumPy, and visualization libraries.

Job Type: Full-time

Pay: ₹400, ₹700,000.00 per year

Benefits:

• Cell phone reimbursement
• Internet reimbursement
• Leave encashment
• Paid sick time
• Paid time off

Work Location: In person

Key Responsibilities:

• Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments.
• Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
• Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role.
• Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).

Preferred Qualifications:

• Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).

Soft Skills:

• Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset.

*Mandatory Competencies *

• Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
• Beh - Communication
• Data Science and Machine Learning - Data Science and Machine Learning - Python
• Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
• Programming Language - Python - Panda

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India's epicenter of Innovation, has been selected to be home to Takeda's recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda's ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.

The Opportunity

As a Data Scientist, you will have the opportunity to apply your analytical skills and expertise to extract meaningful insights from vast amounts of data. We are currently seeking a talented and experienced individual to join our team and contribute to our data-driven decision-making process.

Objectives/Purpose: Emphasize the design, development, and deployment of AI/Gen AI models in production environments, along with a strong focus on data engineering and end-to-end architectural understanding.

Accountabilities:

• Data Engineering: Design and implement robust data pipelines and ETL processes to support AI/Gen AI model development and deployment.
• AI/Gen AI Model Deployment: Lead the deployment of AI/Gen AI models in production environments, ensuring scalability, reliability, and maintainability.
• End-to-End Architecture: Develop and maintain comprehensive architectural documentation, ensuring alignment with enterprise architecture principles.
• Compliance and Standards: Ensure all solutions comply with architectural, security, and privacy standards.
• Collaboration: Work closely with data scientists, data engineers, and other stakeholders to deliver high-quality AI solutions.
• Continuous Improvement: Establish and institutionalize regular reviews for solution adoption and continuous improvement.
• Continuously improve model performance by analyzing and refining model architectures and processes.
• Familiarity with containerization tools (e.g., Docker, Kubernetes) for deploying models.
• Experience with model monitoring and performance tracking in production environments.

Education, Behavioral Competencies, and Skills

• Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or related fields.
• Experience: 5+ years of experience in data engineering, AI/Gen AI model deployment, and end-to-end architectural design.
• Technical Skills: Proficiency in SQL, Databricks, Python, R, and cloud platforms (e.g., AWS, Azure, GCP). Experience with MLOps tools and frameworks.
• Architectural Skills: Strong understanding of data architecture, data warehousing, and data governance.
• Soft Skills: Excellent communication and leadership skills, with the ability to mentor and guide development teams.

Additional Sections

• AI/Gen AI Focus: Highlight specific experience with AI/Gen AI technologies and frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Data Engineering Focus: Emphasize experience with data engineering tools and technologies (e.g., Apache Spark, Kafka, Airflow).
• Production Environment: Detail experience in deploying and managing AI models in production environments, including monitoring and optimization.

WHAT TAKEDA CAN OFFER YOU:

• Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
• At Takeda, you take the lead on building and shaping your own career.
• Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.

BENEFITS:

It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are:

• Competitive Salary + Performance Annual Bonus
• Flexible work environment, including hybrid working
• Comprehensive Healthcare Insurance Plans for self, spouse, and children
• Group Term Life Insurance and Group Accident Insurance programs
• Health & Wellness programs including annual health screening, weekly health sessions for employees.
• Employee Assistance Program
• 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
• Broad Variety of learning platforms
• Diversity, Equity, and Inclusion Programs
• Reimbursements – Home Internet & Mobile Phone
• Employee Referral Program
• Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)

ABOUT ICC IN TAKEDA:

• Takeda is leading a digital revolution. We're not just transforming our company; we're improving the lives of millions of patients who rely on our medicines every day.
• As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.

IND - Bengaluru

Employee

Regular

Full time

Role: Data Scientist

Experience: 4 to 8 Years

Location: Gurugram / Bengaluru (On-site, 5 days a week)

Employment Type: Full-time

Key Skills & Technologies:

• Large Language Models (LLM) fine-tuning, prompt engineering, evaluation
• RAG (Retrieval-Augmented Generation) – implementation, optimization, and scaling
• Agentic AI systems – AI agents, multi-agent orchestration, workflows
• Proficiency in Python and common ML/NLP libraries (Transformers, LangChain, etc.)
• Experience with Vector Databases (e.g., FAISS, Pinecone, Weaviate)
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools

Key Responsibilities:

• Design and build intelligent systems leveraging LLMs and RAG architectures
• Develop and deploy Agentic AI systems for autonomous task handling
• Collaborate closely with product and engineering teams to translate ideas into AI-driven solutions
• Drive experimentation and continuously optimize models and systems
• Maintain and improve pipelines for training, fine-tuning, and deployment

Requirements:

• 4–8 years of relevant industry experience in AI/ML or Data Science
• Strong foundation in Machine Learning, NLP, and Deep Learning
• Prior experience building applications using LLMs, RAG pipelines, or autonomous agents
• Ability to work onsite 5 days a week in Gurugram or Bengaluru

Why Join Us?
Are you inspired to grow your career at one of
India's Top 25 Best Workplaces in IT industry?
Do you want to do the best work of your life at one of the
fastest growing IT services companies
? Do you aspire to thrive in an award-winning work culture that
values your talent and career aspirations
? It's
happening right here
at Iris Software.

About Iris Software
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working at Iris
Be valued, be inspired, be your best.
At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.

Our employee value proposition (EVP) is about "Being Your Best" – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We're a place where everyone can discover and be their best version.

Job Description
Key Responsibilities
:

• Design, implement, and maintain data science pipelines from data ingestion to model deployment.
• Collaborate with data scientists to operationalize ML models and algorithms in production environments.
• Develop robust APIs and services for ML model inference and integration.
• Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools.
• Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
• Work with cloud infrastructure (AWS) for scalable ML deployment.
• Manage model versioning, feature engineering workflows, and experiment tracking.
• Optimize performance of models and pipelines for latency, cost, and throughput.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in a data science, ML engineering, or software engineering role.
• Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus.
• Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).

Preferred Qualifications

• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience working in Agile or cross-functional teams.
• Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).

Soft Skills

• Strong communication skills to bridge technical and business teams.
• Excellent problem-solving and analytical thinking.
• Self-motivated and capable of working independently or within a team.
• Passion for data and a curiosity-driven mindset.

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Beh - Communication

Data Science and Machine Learning - Data Science and Machine Learning - Python

Data Science and Machine Learning - Data Science and Machine Learning - Pytorch

Programming Language - Python - Panda

Perks And Benefits For Irisians
At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, we're committed to providing a supportive and rewarding work environment.

Join us and experience the difference of working at a company that values its employees' success and happiness.

i m looking for data science & artificial intelligence trainer. well educated, minimum 2 years experienced trainer. its a freelancing job. flexible time.

Job Type: Full-time

Pay: ₹20,000.00 per month

Work Location: In person

Expected Start Date: 09/09/2025

Description

• Role Overview. We are seeking a highly skilled and passionate faculty member who can train students in Python programming, Data Science, Data Analytics and AI Automation. The ideal candidate should have both academic teaching experience and industry exposure to effectively bridge the gap between theory and practical application.

Key Responsibilities

• Deliver engaging and structured sessions on: Python programming (from basics to advanced), Data Science(AI &ML), Data Analytics using libraries/tools (Pandas, NumPy, Matplotlib, Power BI/Tableau) AI Automation and applications (automation frameworks, Chatbots, AI APIs)

• Design course materials, lesson plans, and practical projects aligned with industry requirements.

• Guide students through real-world case studies, capstone projects, and automation workflows.

• Stay updated on emerging technologies and incorporate latest trends and tools into training.

• Assess student performance and provide feedback for skill improvement. Collaborate with the academic team to develop certification programs and curriculum updates.

• Participate in seminars, workshops, and webinars to promote the courses.

Required Skills & Competencies Technical Skills:

Strong command over Python and its data libraries (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn, TensorFlow, or PyTorch).

Strong teaching knowledge in Machine Learning, Deep learning NLP and Generative AI

Experience in Data Analytics tools: Power BI, Tableau, Excel Analytics.

Familiarity with AI automation frameworks like RPA tools (UiPath, Automation Anywhere) or Python-based automation (Selenium, OpenAI API, LangChain).

Teaching Skills: Ability to simplify complex concepts and deliver hands-on, interactive sessions. Strong communication, mentorship, and presentation skills.

Language:

• English (Preferred)

Qualifications:

Bachelor's/Master's in Computer Science, Data Science, AI, or related field.

Professional certifications (Python, Data Analytics, AI, RPA) preferred.

2+ years of relevant teaching or corporate training experience.

Job Types: Full-time, Permanent

Work Location: In person

Data mining or extracting usable data from valuable data sources.

Using machine learning tools to select features, create and optimize classifiers.

Processing, cleansing, and validating the integrity of data to be used for analysis.

Required Candidate profile

Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc.

Should have Team handling and US Client handling exp.

Should be open for Chennai (Mandatory)

Min 8+yrs exp

Data Science

Data Science, Machine Learning, Python, SQL, Marketing Analytics Domain /Retail/CPG,AWS ,Powerbi

Bangalore/ Mumbai

Budget--22 lpa

Drop cv on