6,691 Science Intern jobs in India
Remote Graduate Research Assistant (Data Science)
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform data analysis and statistical modeling using Python or R.
- Develop data visualizations to represent complex findings.
- Contribute to the development of machine learning models.
- Support research design and experimental setup.
- Document research methodologies and code.
- Collaborate with research teams through virtual meetings and platforms.
- Present findings and progress updates to the research lead.
- Stay updated on new data science techniques and tools.
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proficiency in Python or R and relevant data science libraries.
- Strong understanding of statistical concepts and machine learning algorithms.
- Experience with data manipulation and analysis techniques.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and contributing to research projects.
Applied Science Manager, SSG Science
Posted 3 days ago
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Job Description
Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional Science Manager to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities
* Manage a team of 5+ scientists working on quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
* Create 3+ year science roadmap in domain of edge intelligence
* Focus on rapid maturization of science to build products and integrate it with Echo Family of device
* Work with stakeholders and partners to defining Roles and Responsibilies
* Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques
* Strong understanding of first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
* Managing teams that were involved in training (preferably pretraining) Gen AI models
* Foster collaboration with compiler team, fellow Applied Scientists in Finetuning team, Hardware Architects and product teams to build the best ML-centric solutions for our devices
* Help team publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Basic Qualifications
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Knowledge of machine learning approaches and algorithms
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Applied Science Manager, SSG Science
Posted today
Job Viewed
Job Description
Key job responsibilities
* Manage a team of 5+ scientists working on quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
* Create 3+ year science roadmap in domain of edge intelligence
* Focus on rapid maturization of science to build products and integrate it with Echo Family of device
* Work with stakeholders and partners to defining Roles and Responsibilies
* Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
* Strong understanding of first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
* Managing teams that were involved in training (preferably pretraining) Gen AI models
* Foster collaboration with compiler team, fellow Applied Scientists in Finetuning team, Hardware Architects and product teams to build the best ML-centric solutions for our devices
* Help team publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
BASIC QUALIFICATIONS
- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics
- Knowledge of machine learning approaches and algorithms
PREFERRED QUALIFICATIONS
- Experience building machine learning models or developing algorithms for business application- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Data Science Data Science Practitioner
Posted today
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- ** Project Role Description**:Manage, architect and analyze big data in order to build data driven insights and high impact data models. Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing. Examine data from multiple sources and share insights which provide competitive advantage. Contribute to assets/offerings and thought leadership. Act as Subject Matter Expert in area of expertise and enhance Accentures marketplace reputation.
- ** Management Level**:11
- ** Work Experience**:2.5-4 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **Key Responsibilities **:1Convert a business problem into a data driven ML solution 2Develop,Manage,architect ML and advanced analytics models 3Derive insights from using ML algorithm 4Create a value chain to help address the challenges of acquiring data,evaluating its value,distilling,analysing 5Examine data from multiple sources and share insights which provide competitive advantage 6Contribute to assets/offerings and thought leadership 7Act as Subject Matter Expert in area of expertise
- **
Technical Experience **:1 Knowledge ETL activities using Python 2 Machine Learning Algorithms in Python 3 Advanced Machine learning, Deep Learning, Big Data Processing Frameworks 4 End to end knowledge of Life Cycle of Machine Learning Model 5 Expertise in Python to deploy Machine Learning and Advanced analytics models 6 Use of Python as Data Science tool kit 7Ability to derive insights from analytical and machine learning models
- **
Professional Attributes **:1Be a self starter n a fast learner 2Possess strong problem solving skills with the ability to methodically analyze n resolve tech challenges 3Possess strong written, verbal,comm,analyitical,tech,inter personal n presentation skills 4Excellent exp in interaction n handling of clients
15 years of full time education
Social Science and Science Teacher
Posted today
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Job Description
Social svience teacher for 9th and 10th class
M.A. / M.Sc. and B.Ed.
**Job Types**: Full-time, Regular / Permanent
**Salary**: ₹10,000.00 - ₹12,000.00 per month
Schedule:
- Morning shift
Science Educator
Posted 4 days ago
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Job Description
About IIS:
The Inspire Institute of Sport is a cutting-edge environment founded to craft champions in India with an eye on success at the Olympic Games. With the main campus located in Vijayanagar, Karnataka, and satellite centers at Hisar (Haryana), Himachal Pradesh, Manipur and Odisha, the IIS has been stitched together with state-of-the-art facilities and sports science, and has some of the finest coaching minds from across the world to guide our athletes towards the Indian Olympic dream.
Role Summary:
We are seeking a dedicated Science Educator to teach General Science (Grades 8–10) and Chemistry & Biology (Grades 11–12) across CBSE, State Board, and NIOS curricula. The role demands strong subject knowledge, flexible delivery methods, and a student-centric approach tailored to the unique needs of athletes balancing academics with intensive training.
Key Responsibilities:
Curriculum Delivery
- Teach General Science for Grades 8–10 and Chemistry & Biology for Grades 11–12 across CBSE, State Board, and NIOS streams.
- Align lessons with syllabus outcomes while adapting to students’ academic levels and sporting commitments.
- Use practical, real-life applications of science—especially those connected to sports, health, and performance—to engage athlete-learners.
Time Management and Flexibility
- Adjust lesson plans and delivery modes (in-person, 1:1, and hybrid) to accommodate fluctuating training and competition schedules.
- Provide additional academic support and learning material for students who miss classes due to camps or travel.
Student Assessment and Feedback
- Conduct assessments as per board-specific formats—CBSE, State Board, and NIOS (practicals, projects, and written exams).
- Track academic progress through formative and summative assessments.
- Offer constructive, personalized feedback to support ongoing academic improvement.
Classroom Management
- Foster a structured yet empathetic learning environment suited to the needs of high-performance athletes.
- Promote collaborative learning and peer discussions to build critical thinking and scientific reasoning.
Collaboration and Communication
- Work closely with coaches, parents, sports science staff, and academic staff to ensure holistic support for athlete-students.
- Participate in interdisciplinary and enrichment activities that reinforce science through life skill development, nutrition, wellness, and recovery.
Soft Skills & Core Competencies:
- Strong organizational skills for maintaining academic records, tracking assessments, and managing student data across multiple boards (CBSE, State, NIOS)
- Attention to detail and accuracy in documentation, reporting, and academic planning
- Ability to use spreadsheets, digital trackers, and academic management tools efficiently
- Effective classroom management that promotes discipline, engagement, and focus—especially in mixed-level or small-group settings
- Proactive communication with students, coaches, and academic heads to ensure alignment in academic progress and attendance
- Adaptability and problem-solving in high-performance environments with irregular student schedules
Requirements:
- Strong subject knowledge across General Science (8–10) and Chemistry & Biology (11–12)
- Understanding of CBSE, State Board, and NIOS syllabi and exam formats
- Ability to personalize teaching for multi-board learners in a flexible environment
- Classroom management and mentoring skills suited for adolescent athletes
Preferred Qualifications and Experience:
- B.Sc./M.Sc. in Chemistry/Biology or related sciences
- B.Ed. (mandatory for CBSE/State curriculum teaching)
- 2–3 years of teaching experience (preferably in a residential or alternative school setup)
- Fresher with strong subject knowledge and teaching potential are also welcome.
- Fluency in English and Hindi (additional regional language is a plus)
- Comfort with digital teaching tools and blended learning approaches
Data Science
Posted 4 days ago
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Job Description
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
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Data Science
Posted 4 days ago
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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.”
Science educator
Posted 4 days ago
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Company Description
The Curiouscity Discovery Centre offers an exciting space for children and adults with a range of fun and educational activities. Visitors can explore mind-bending illusions and escape rooms, meet turtles and guinea pigs in the Animal Park, conduct experiments in Science Labs, and learn through play in the Kids Zone. The center combines enjoyment with learning, making it a perfect family outing destination.
Role Description
This is a full-time, on-site role for a Science Educator located in Bengaluru. The Science Educator will be responsible for designing and delivering engaging science knowledge, guiding students/visitors through hands-on experiments, and facilitating interactive learning experiences.
JOB DESCRIPTION
1. Assist in design, development and maintenance of science workshops, exhibits, posters etc.
2. Guide weekend visitors at the centre, help conduct school workshops, summer camps and other events.
3. Five working days of which one will be Saturday or Sunday.
4. Must be physically present at the centre at Sarjapur Road from 9 am to 6 pm on working days.
5.Remuneration starts from ₹20,000 per month or higher based on relevant work experience and educational qualifications. Performance-based bonuses are also offered.
DESIRED PROFILE
1. Have an interest in science and / or education. A graduate degree in science (any subject) or ability to build science projects are desirable.
2. Good communication skills in English (Kannada would be a huge bonus )
3. Enjoy both teaching, learning and working with children.
4. Be enthusiastic, energetic and committed
5.Willing to commute / relocate to Sarjapur Road , Bengaluru- 562125, Karnataka.
6. We welcome freshers, teachers, working professionals, engineers, home makers and others as long as they are committed and have the right attitude / education. Training will be provided to selected candidates.
We promise a fun, flexible, creative work environment with the space to grow professionally and personally. This is also an opportunity to help build a vibrant public institution.
Website:
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Science Teacher
Posted 4 days ago
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Job Description
Vibgyor High School - Haralur has Urgent Requirement for TGT Science/Physics.
Interested candidates may share their resume to
Job Description
- Conduct and organize the learning process/session in classroom.
- Gear the process of teaching to the needs of all students with a concern for their interests, handicaps, special talents, individual styles and pace of learning.
- Treat children with dignity and respect.
- Be approachable to students and parents
- Promote maximum student participation and assist students in analyzing and improving methods and habits of study.
- Monitor students progress constantly and adjust the pace of work accordingly.
- Ensure that all children pay attention to the Lesson plan delivered.
- Enforce regulations concerning the students conduct and discipline and maintain appropriate standards for student behavior in the classroom and in the school premises.
- Enhance and implement teaching methodologies such as hands on learning activities, games, classroom discussions, documentaries, movies and mind maps .
- Be responsible for the emotional and physical well being of every child.