308 Data Science jobs in India
Data Science
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br> About the Role
As an SDE-3 on the Data Platform team at Navi, you'll design and build large-scale systems powering web events, analytics, and real-time data pipelines. You'll lead backend development, contribute to platform architecture, and solve complex data problems. This is a high-impact IC role with strong cross-functional collaboration and mentorship opportunities.
What We Expect From You
Design, develop, and maintain backend services, data pipelines, and batch/realtime datasets related to web events and analytics.
Strong proficiency in at least one of the following languages: Java, Python, Scala.
Expertise in object-oriented design, design patterns, and data structures.
Lead the development of new foundational capabilities in support of enabling our users to interact with, analyze, and derive insights from their data.
Solve complex and challenging problems in the intersection between low latency, high correctness, and full determinism.
Participate in code reviews, provide mentorship to junior team members, and enforce coding standards.
Investigate, diagnose, and resolve software defects and issues, ensuring a high level of product quality.
Contribute to the overall architecture and design of data platform frameworks.
Strong interpersonal skills, showcasing effective stakeholder management with product and design teams.
A minimum of 5 years of software development experience.
Must Haves
Familiarity with modern data lakehouse architectures and related technologies (e.g. Spark, Flink, Kafka, Trino).
Prior experience in on-prem data-platform is preferred.
Demonstrated ability to quickly adapt to new and complex development environments, along with strong deep-dive analytical skills.
Previous success in mentoring and guiding junior engineers.
Inside Navi
We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to
Data Science
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Company Description
LIVEWIRE, a division of CADD Centre Training Services Pvt Ltd, is a prominent and innovative training organization with centers in Tamil Nadu, Kerala, and Karnataka. We provide value to individuals and companies through cutting-edge courses and skill development expertise. Our training solutions span IT, ITeS, Engineering Design, Process Management, and more, serving thousands of learners since inception. Known for our instructional excellence and comprehensive curriculum, LIVEWIRE is a preferred training partner aiming to be a leading global training organization within this decade.
Role Description
This is a full-time on-site role for a Data Science & Artificial Intelligence Trainer based in Coimbatore. The Trainer will be responsible for delivering high-quality training sessions on Data Science and Artificial Intelligence topics. Day-to-day tasks include preparing course material, conducting classes, assessing students' progress, and providing support to learners. The Trainer will also stay updated with the latest industry trends to ensure relevant and current content delivery.
Qualifications
- Strong Analytical Skills and Statistics knowledge
- Proficiency in Data Science, Data Analytics, and Data Analysis
- Effective communication and instructional skills
- Experience in teaching or training is preferred
- Ability to explain complex concepts in a comprehensive manner
- Master's or Bachelor's degree in Computer Science, Statistics, or related field
- Experience in the industry is a plus
Ideal Budget for this role is 20k -30k DOE
Data Science
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Location – Thiruvananthapuram
Experience – 4 to 5 yrs
- 4–5 years of hands-on experience in data science projects, preferably across different domains.
- Strong statistical expertise, including hypothesis testing, linear and non-linear regression, classification techniques, and probability distributions.
- Proven ability to translate complex business problems into data science use cases with practical impact.
- Experienced in building and validating machine learning models, including classification, regression, and survival analysis.
- Proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, as well as SQL for data querying and analysis.
- Experience handling both structured and unstructured datasets, with expertise in exploratory data analysis (EDA) and data cleaning.
- Strong communication skills, with the ability to explain technical concepts clearly to non-technical stakeholders.
- Familiarity with version control tools such as Git/GitHub and collaborative development workflows.
- A deployment mindset, with an understanding of how to build data products that are usable, scalable, and maintainable.
Data Science
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Role: Data Science
Location : Chennai
iSolve Technologies is a Business Transformation company. We partner with our customers, understand their business, hypothesize, and analyze process gaps, build strategy, and bring 100% visibility to every step of the operation with innovative technology. Customers typically come to us for our in-depth understanding of business and stay with us for our service excellence
Job Summary:
We are seeking a passionate and motivated
AI/ML Engineer
with 2+ years of hands-on experience to join our applied machine learning team. The ideal candidate will have a solid foundation in machine learning, deep learning, and data preprocessing, and will be responsible for building, training, evaluating, and deploying ML models across various real-world applications.
You will play a key role in developing intelligent systems that drive our core AI products and solutions, with opportunities to experiment and innovate with state-of-the-art technologies like
transformers, LLMs, computer vision
, and
generative AI
.
Key Responsibilities:
· Design, develop, and deploy ML models for tasks like classification, regression, recommendation, NLP, computer vision, and time series forecasting.
· Fine-tune pre-trained models (e.g., BERT, GPT, YOLO, CLIP, etc.) for domain-specific applications.
· Apply
Data Science
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Data Science & Analytics Trainer
Job Location
Bhopal
Salary
3 - 6 LPA
Role Overview
We are looking for a passionate and experienced
Data Science & Analytics Trainer
to join our team. The trainer will be responsible for delivering high-quality training sessions on Data Science, Machine Learning, Artificial Intelligence, and Business Analytics. The ideal candidate should have strong technical knowledge, hands-on industry experience, and a passion for teaching.
Key Responsibilities
- Deliver interactive training sessions (classroom & online) on
Python, R, SQL, Data Analysis, Machine Learning, Deep Learning, AI, and Visualization Tools
(Tableau, Power BI, etc.). - Design and develop training materials, assignments, projects, and case studies aligned with industry standards.
- Mentor learners, resolve queries, and guide them in real-world projects and capstones.
- Stay updated with the latest trends and advancements in data science and analytics to keep training content relevant.
- Conduct assessments, evaluate learner performance, and provide constructive feedback.
- Collaborate with the academic/placement team to improve course quality and learner outcomes.
Required Skills & Qualifications
- Bachelor's/Master's in Computer Science, Statistics, Data Science, or related field.
- Strong knowledge of
Python, R, SQL, Statistics, Machine Learning, AI, and Data Visualization tools
. - Hands-on experience with frameworks like
Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch
(preferred). - Proficiency in at least one visualization tool:
Tableau, Power BI, or Matplotlib/Seaborn
. - Excellent presentation, communication, and mentoring skills.
- Prior teaching/training experience (corporate or academic) is an added advantage.
Nice-to-Have (Preferred)
- Certifications in Data Science / Machine Learning / AI (e.g., Microsoft, AWS, Google, or Coursera/edX certifications).
- Industry project experience in Data Analytics, Predictive Modeling, or AI-driven solutions.
- Ability to design customized training modules for corporate clients.
Career Benefits with Us
- Opportunity to
train and mentor future data scientists & analysts
. - Exposure to
cutting-edge tools and technologies
in Data Science. - Competitive salary with performance-based incentives.
- Professional growth through continuous learning & collaboration.
Data Science
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Job Summary:
We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions.
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
Database - Database Programming - SQL
Programming Language - Python - Python Shell
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker
Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight
Programming Language - Scala - Scala
Agile - Agile - SCRUM
Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)
DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)
Artificial Intelligence - AI Tools - TensorFlow
Beh - Communication and collaboration.
Data Science
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At GKM IT, data isnt just numbers—it's insight, innovation, and the foundation of intelligent systems. We're looking for a Data Scientist - Senior II who's ready to go beyond dashboards and dive deep into cutting-edge ML and Generative AI research.
In this role, you'll work on high-impact problems using advanced machine learning techniques. You'll also play a key role in shaping the next generation of data scientists by mentoring junior team members and interns.
If you're excited by LLMs, transformer models, and pushing the boundaries of what's possible with data—this is the place to be.
Requirements
- 5 to 7 years of experience in Data Science or Machine Learning roles
- Proven ability to work on end-to-end ML projects—from research to production
- Conduct in-depth machine learning research and stay updated with state-of-the-art advancements
- Read, interpret, and implement research papers, especially in the Generative AI domain
- Mentor and guide junior data scientists and interns in executing real-world projects
- Design and build machine learning and deep learning models to solve complex business challenges
- Work collaboratively across teams to turn data into decisions, and models into products
- Strong foundation in Statistics and Probability
- Advanced proficiency in Python for data science and ML workflows
- Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch
- Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc.
- Deep familiarity with Transformer architectures and working with Large Language Models (LLMs)
- Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications
- Ability to turn theoretical models into production-ready code with clarity and precision
Benefits
We don't just hire employees—we invest in people. At GKM IT, we've designed a benefits experience that's thoughtful, supportive, and actually useful. Here's what you can look forward to:
- Top-Tier Work Setup
You'll be equipped with a premium MacBook and all the accessories you need. Great tools make great work. - Flexible Schedules & Remote Support
Life isn't 9-to-5. Enjoy flexible working hours, emergency work-from-home days, and utility support that makes remote life easier. - Quarterly Performance Bonuses
We don't believe in waiting a whole year to celebrate your success. Perform well, and you'll see it in your pay check—quarterly. - Learning is Funded Here
Conferences, courses, certifications—if it helps you grow, we've got your back. We even offer a dedicated educational allowance. - Family-First Culture
Your loved ones matter to us too. From birthday and anniversary vouchers (Amazon, BookMyShow) to maternity and paternity leaves—we're here for life outside work. - Celebrations & Gifting, The GKM IT Way
Onboarding hampers, festive goodies (Diwali, Holi, New Year), and company anniversary surprises—it's always celebration season here. - Team Bonding Moments
We love food, and we love people. Quarterly lunches, dinners, and fun company retreats help us stay connected beyond the screen. - Healthcare That Has You Covered
Enjoy comprehensive health insurance for you and your family—because peace of mind shouldn't be optional. - Extra Rewards for Extra Effort
Weekend work doesn't go unnoticed, and great referrals don't go unrewarded. From incentives to bonuses—you'll feel appreciated.
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Data Science
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Company Description
Technoglobe center in Pune is a professional training center based in Baif Road, Wagholi, dedicated to equipping students, professionals, and organizations with high-impact skills for the real world. Our programs range from computer and IT courses to soft skills, languages, and professional certifications, designed to be practical, flexible, and industry-relevant. We serve the communities within a 10 km radius around the center, with training tailored to local needs and global standards. Our offerings include certified computer & software training, professional development programs, and corporate & government training solutions.
Role Description
This is a full time role for a Data Science & Data Analytics Trainer. The trainer will be responsible for delivering high-quality training sessions, developing training materials, and providing personalized support to learners. The role involves conducting interactive sessions, assessing student progress, and staying updated with the latest industry trends and software. This is an on-site role, located in Pune.
Qualifications
- Proficiency in Data Science and Data Analytics
- Strong Analytical Skills and Data Analysis abilities
- Knowledge of Statistics
- Experience in developing and delivering training materials
- Excellent communication and presentation skills
- Ability to provide personalized support to learners
- Experience in the education or training sector is a plus
- Bachelor's or Master's degree in a relevant field
Data Science
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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 - 10 to 12 years
RequirementsMajor 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.
• 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
Data Science
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Job Description – Senior AI/ML Data Scientist
Location
: Kolkata (Work From Office)
Relevant Experience
: 5–6 Years
Requirements
- Bachelor's/Master's in
Computer Science, Data Science, or related field
. - 5–6 years of
hands-on AI/ML / Data Science
experience. - Strong expertise in
Python
and ML frameworks (
PyTorch, TensorFlow, Scikit-learn, Hugging Face
). - Practical experience with
LLMs, embeddings, vector databases, and RAG pipelines
. - Proven background in
recommendation systems, personalization, and predictive modeling
. - Proficiency in
SQL/NoSQL databases
and
data pipeline development
. - Familiarity with
APIs & microservices
(FastAPI, Django REST, Flask). - Experience with
cloud ML deployments
(Azure/AWS/GCP). - Good knowledge of
Docker, Kubernetes, Git, CI/CD
for production ML.
Responsibilities
- Design, develop, and deploy
end-to-end AI/ML solutions
. - Lead projects involving
LLMs, NLP, recommendation engines, and predictive models
. - Build, optimize, and maintain
data pipelines and APIs
for ML services. - Deploy and scale ML models on
cloud platforms
with containerization and CI/CD. - Collaborate with cross-functional teams to deliver
production-ready AI systems
. - Ensure
model performance, scalability, monitoring, and explainability
. - Mentor junior team members and contribute to
best practices in MLOps
.