8,708 Data Science jobs in India

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

Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 4 to 6 years

Major Duties & Responsibilities

•  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

•  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects

•  Influence machine learning strategy for Digital programs and projects

•  Make solution recommendations that appropriately balance speed to market and analytical soundness

•  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

•  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

•  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Create algorithms to extract information from large, multiparametric data sets.

•  Deploy algorithms to production to identify actionable insights from large databases.

•  Compare results from various methodologies and recommend optimal techniques.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Develop and embed automated processes for predictive model validation, deployment, and implementation

•  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

•  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment

•  Lead discussions at peer review and use interpersonal skills to positively influence decision making

•  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

•  Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.

•  4-6 years of work experience as a Data Scientist

•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

•  Good hands-on skills in both feature engineering and hyperparameter optimization

•  Experience producing high-quality code, tests, documentation

•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•  Proficiency in statistical concepts and ML algorithms

•  Good knowledge of Agile principles and process

•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

•  Self-motivated and a proactive problem solver who can work independently and in teams

Work with one of the Big 4's in India

Job description:

Silicon Interfaces is looking for Mumbai-based Data Science Engineers Years) for its Artificial Intelligence and Machine Learning group in the Software Department.

Experienced as Team Members and Years) Experienced as Team Leads.

Outstation candidates without accommodation in Mumbai need not apply.

The ideal candidate will be responsible for developing high-quality Small Language Models (SML), Large Language Models (LLM), Shared Memory API, Vertex DB for specific domains in Semiconductors. You will be required to work on Agents, Agenitfied AI Agents, as well as Roving Agents using standardized open models for deployment on industry and educational websites. They will also be responsible for designing and implementing testable and scalable code.

Roles and Responsibilities

• Develop quality software and models
• Analyze and maintain existing models
• Design highly scalable, testable code
• Discover and fix programming bugs
• Desired Candidate Profile

Bachelor's degree or equivalent experience in AI, AI/ML, Computer Science/Computer Engineering, or related field

• Development experience with programming languages
• SQL database or relational database skills

Skills Required: We are looking for intelligent, talented, hard-working Data Scientists who are willing to work in different technologies, and languages C#, Java, Python, and PHP.

Software Fundamentals

· Data Structure:

· Software Design Methodologies (Waterfall/Agile):

Languages

· C#:-

· Python:-

AI/ML

· Data Analysis

· Colab

· TensorFlow

· Keras

· Hyperparameters

· Activation Functions

· Optimizers

· SML/LLM Models

· Agents

· Agentified AI

You don't have to know all of them, but at least two of the skills, and the ability and interest to adapt and learn. It may seem to be a lot of stuff to know, but the good news you don't need to implement them at the same time.

Silicon Interfaces' services global footprint. Software Services centers in North America, Europe, and Asia Pacific by VPN-based logins, in-person Customer site deployment (North America, Europe, and Asia Pacific (including India) and also Offshore projects from our state-of-the-art Software Development Centers based out of Mumbai.

We are a small specialized IT Services company catering to online services as well as Customer Projects from USA. (Please check , and also , and ).

The Job is based in Mumbai, India, and the company is currently doing (Work from Office) WfO

If you like to apply, please send an email as an application with your Resume to

The Email should have Subject as Data Science - AI ML Engineer positions at Silicon Interfaces

The Body of the mail should explain in brief your skills and experience.

Job Types: Full-time, Permanent, Fresher

Pay: ₹200, ₹300,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at

Job Title: ML Engineer

Position: Lead Analyst

Experience: Years

Category: Software Development/ Engineering

Shift: General (5 Days work from Office)

Main location: India, Tamil Nadu, Chennai

Position ID: J

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 7+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions – from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.

Your future duties and responsibilities

• Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.
• Production Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.
• Data Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.
• Research & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.
• Performance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.
• Collaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.
• Code Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.
• Monitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.

Required qualifications to be successful in this role

Must-Have Skills:

• 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
• Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
• Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
• Experience with data preprocessing, feature engineering, and handling large datasets.

Good-to-Have Skills:

• Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

Be a part of India's largest and most admired news network

Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.

Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization's potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.

Role Overview:

We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.

Key Responsibilities:

• Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
• Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
• Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
• Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
• Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
• Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
• Apply basic Docker concepts for containerization and deployment of applications.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay abreast of the latest advancements in AI/ML and NLP best practices.

Required Qualifications & Skills:

• 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
• Solid understanding of machine learning fundamentals, algorithms, and best practices.
• Proficiency in Python and relevant data science libraries.
• Good SQL skills for complex querying and data manipulation.
• Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications & Skills:

• Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
• Basic understanding of Docker and containerization for deploying applications.
• Experience with dashboarding tools like Power BI and building web applications with Streamlit.
• Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
• Knowledge of data warehousing concepts and schema design.
• Experience in designing and building ETL pipelines.

Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.

"We correspond only from our official email address"

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

Data Science & AI/ML Developer Trainer

**Job Summary:**

We are seeking a knowledgeable and enthusiastic **AI/ML/Data Science Trainer** to

deliver high-quality training sessions to students and professionals. The trainer will be

responsible for teaching core concepts, tools, and frameworks in Artificial Intelligence,

Machine Learning, and Data Science, while guiding learners through practical, project-

based applications aligned with industry standards.

**Key Responsibilities:**

 Conduct classroom and/or online training on **AI, Machine Learning, Deep

Learning, and Data Science.

Teach essential tools & technologies: **Python, NumPy, Pandas, Scikit-learn,

TensorFlow, Keras, PyTorch, SQL, Power BI/Tableau, and Cloud platforms.

esign and update curriculum, assignments, and real-world projects.

uide learners on end-to-end data workflows: data collection, preprocessing,

visualization, model building, and deployment.

entor students on **capstone projects, research problems, and industry case

studies

rovide career guidance, interview preparation, and portfolio development

support.

tay updated with the latest AI/ML advancements and integrate them into

training content.

**Requirements:**

trong expertise in **Python programming, Machine Learning algorithms, and

statistical modeling.

ands-on experience with **Deep Learning, NLP, Computer Vision, and Big Data

tools** is preferred.

xperience with **libraries/frameworks** like TensorFlow, PyTorch, Scikit-learn,

OpenCV, etc.

roficiency in data visualization and business intelligence tools (Power BI,

Tableau, Matplotlib, Seaborn).

xcellent communication, presentation, and mentoring skills.

rior training or corporate teaching experience is an added advantage.

achelor's/Master's/Ph.D. in Computer Science, Data Science, AI/ML, or

equivalent professional experience.

Need only Min. 6 Months Experience as a Trainer

For more details Call & WhatsApp CV on

HR Team

Job Types: Full-time, Permanent

Pay: ₹13, ₹25,000.00 per month

Education:

• Bachelor's (Required)

Experience:

• Data Science & AI/ML Developer Trainer: 1 year (Required)

Language:

• English (Required)

Work Location: In person

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

// Urgent hiring for Data Science & Analytics Trainer //

Location: Shivaji Nagar , Pune

Job Title: Data Science & Analytics Trainer

Experience: Minimum 1 year in a similar training or industry role

Working Days: 6 days a week (9:30am-6:30 pm)

CTC: upto 5 LPA (As per industry standards)

Role Overview:

We are seeking a dynamic and skilled Data Science & Analytics Trainer to deliver engaging, hands-on training sessions to students and professionals. The ideal candidate should have a strong background in Data Science, Analytics, and related tools, along with a passion for teaching and mentoring learners.

Key Responsibilities:

• Conduct comprehensive training sessions on Data Science and Analytics tools and technologies.
• Develop, update, and customize course materials to align with current industry standards.
• Deliver interactive sessions covering Python, Power BI, Advanced Excel, R, SQL, Tableau, Machine Learning, AI, and NLP.
• Evaluate learner progress, provide constructive feedback, and guide students through projects and assessments.
• Create a supportive and motivating learning environment to enhance student engagement.
• Stay updated with emerging trends, tools, and practices in Data Science and Analytics.

Requirements:

• Minimum 1 year of experience in teaching or working in Data Science & Analytics.
• Strong command over Python, Power BI, Excel, R, SQL, Tableau, and Machine Learning concepts.
• Excellent communication, presentation, and mentoring skills.
• Ability to explain complex concepts in a clear and practical manner.
• Prior experience in a training institute or edtech organization will be an added advantage.

Interested candidates can share their updated cv @ -

Regards

HR Meenu

Job Type: Full-time

Pay: ₹400, ₹500,000.00 per year

Application Question(s):

• Do you have experience in Data Science & Analytics Teaching ?
• How many years of relevant experience ?
• What is your notice period ?
• What is your current and expected ctc ?

Work Location: In person