8,460 Data Science Professionals jobs in India

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

JD – Sr. Data Scientist - Media Analytics

Experience:
 7–8 years

Location:
 Bangalore (Onsite)

Candidates who can join within 15 days may only apply

Job Summary

We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in 
Media Analytics
 and a proven track record in driving marketing measurement and optimisation. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimise media investments.

Required Skills & Experience

• 7–8 years of experience in Data Science/Analytics with a strong focus on 
  media measurement
  , 
  marketing effectiveness
  , and performance optimization.
• A minimum of a bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred.
• Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
• Familiarity with large language models (LLMs) and generative AI is highly desirable.
• Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
• Proven experience with Databricks platform, Snowflake, and Azure cloud services.
• Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
• Experience with BI tools such as Power BI, DOMO and Tableau.
• Strong understanding of machine learning algorithms, data structures, and software design principles.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional teams(GT1)
   
  (GT2)
   
  .

Desired Qualifications:

• Experience with classification models, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI.
• Preferably from the Retail, eCommerce or CPG industry

Key Responsibilities

• Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
• Solve complex media optimisation problems and conduct A/B testing to evaluate proposed solutions.
• Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Support the domain leads and business teams to solve complex analytical challenges.
• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc.
• Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts.
• Research and promote latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms.
• Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Employ innovative thinking and always seeking the best ways of working for our teams and business partners.

(GT1)

(GT2)

Company Description

FACE Prep is one of India's largest placement-focused skill development companies, specializing in job preparation for the tech sector. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers. The company offers a variety of programs, including masterclasses, self-paced courses, and workshops to help students acquire the skills needed for top-paying jobs in tech. FACE Prep's alumni work at leading tech companies like Google, Microsoft, Meta, Adobe, PayPal, and many more.

Role Description

This is a full-time, on-site role for an AI & ML Mentor (Faculty) located in Bengaluru. The AI & ML Mentor will be responsible for delivering quality education through workshops, bootcamps, and mentoring sessions. Day-to-day tasks include preparing instructional materials, guiding students through complex AI and ML concepts, and providing individual mentorship. The role involves staying updated with the latest advancements in AI and ML to ensure the curriculum remains current and effective.

Qualifications

• In-depth knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML)
• Experience in developing and delivering instructional content, including workshops and bootcamps
• Proficiency in Python and related libraries such as TensorFlow, PyTorch, and scikit-learn
• Excellent communication and presentation skills
• Ability to mentor and guide students at different stages of learning
• Experience in the education sector or similar role is a plus
• Bachelor's or Master's degree in Computer Science, Data Science, or related field

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

Job Role- Data Scientist (Sr. Consultant)

At Deloitte, we do not offer you just a job, but a career in the highly sought-after Risk Management field. We are the business leader in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success—and to the strength of the economy and public security.

By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk- centric solutions across a variety of risk domains. In the process, you will gain exposure to the risk-centric challenges faced in today's world by organizations across a range of industry sectors and become subject matter experts in those areas and develop into a well-rounded professional who not only has the depth in few risk domains, but also has width of exposure to wide variety of risk domains.

So, if you are someone who believes in disrupting through innovation and execution of ideas, Deloitte Risk and Financial Advisory is the place to be

Work you'll do

The key job responsibilities will be to:

• Develop database schemas, tables and dictionaries
• Develop, implement and optimize stored procedures, functions and indexes
• Ensure the data quality and integrity in databases
• Create complex functions, scripts, stored procedures and triggers to support application development
• Fix any issues related to database performance and ensuring stability, reliability and security
• Design, create, and implement database systems based on the end user's requirements
• Prepare documentations for database applications
• Memory management for database systems
• Develop best practices for database design and development activities

The Team

Our Financial Technology practice develops and licenses a growing family of proprietary software products (see ) to assist financial institutions with a number of complex topics, such as accounting for credit deteriorated assets and the administration of investments in leveraged loans.

We are looking to add dedicated software engineers to our team. In addition to competitive compensation and benefits, we provide excellent opportunities for growth and learning and invest in our talent development.

Qualifications

Required:

• • Bachelor's degree in computer science or related field
• At least 5 to 7 years of experience as a SQL developer, with strong understanding of Microsoft SQL Server database
• Strong experience with Python coding and libraries (Pandas, NumPy, PySpark etc.)
• Hands-on experience with machine learning algorithms and frameworks
• Understanding and implementation of AI and generative AI solutions
• Proficiency in data visualization & data analytics
• Knowledge of best practices when dealing with relational databases
• Capable of troubleshooting common database issues
• Familiar with tools that can aid with profiling server resource usage and optimizing it
• Knowledge in performance optimization techniques
• Excellent verbal and written communication

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Professional development

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.

Benefits to help you thrive

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Requisition code:

Please note this is a 3 months FULL TIME INTERNSHIP

Role & responsibilities

• Train and fine-tune ML/LLM models
• Build scalable APIs with FastAPI
• Work on backend apps using Django
• Analyze datasets using pandas, NumPy, scikit-learn
• Collaborate with Full Stack Developers to deliver AI/ML features
• Eagerness to learn emerging AI/ML technologies and apply them to real-world problems
• understanding and Support in fine-tuning pretrained models (e.g., GPT, LLaMA, Mistral, BERT) for specific use cases.
• Learn to implement RAG pipelines with vector databases (e.g., FAISS, Pinecone) for context-aware AI/ML solutions.

Preferred candidate profile

• Python with strong OOP understanding
• Familiarity with AI frameworks like PyTorch, TensorFlow (Preferred)
• Exposure to ML tools (pandas, scikit-learn, NumPy)
• Strong understanding of Backend FastAPI / Django
• Interest in LLMs, APIs, and production-ready ML
• Good problem-solving, logical reasoning, and analytical skills
• Basic knowledge on Frontend ReactJS/Nextjs and Dashboards Academic project experience or previous work experience in AI, ML, NLP, or data engineering
• Good problem-solving, logical reasoning, and analytical skills

Why Join Iris?
Are you ready to do the best work of your career at one of
India's Top 25 Best Workplaces in IT industry
? Do you want to grow in an award-winning culture that
truly values your talent and ambitions
?

Join Iris Software — one of the
fastest-growing IT services companies
— where
you own and shape your success story
.

About Us
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 with Us
At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition,
"Build Your Future. Own Your Journey."
reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description
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

• 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

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

Database - Database Programming - SQL

Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift

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

Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker

Tech - Data Structure and Algorithms

Programming Language - Java - Core Java (java 8+)

Programming Language - Scala - Scala

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Agile - Agile - Extreme Programming

Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)

Beh - Communication and collaboration

Perks And Benefits For Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

• Proficiency in Python programming with a strong grasp of core concepts.
• Basic Data Structures and Algorithms: Familiarity with common data structures (lists, dictionaries, tuples) and basic algorithms (sorting, searching) is advantageous.
• Problem-Solving Skills: Ability to analyse and solve programming problems using Python.
• Understanding of Object-Oriented Programming (OOP): Basic understanding of OOP principles like classes, objects, inheritance, and encapsulation
• Basic knowledge in Data Science including but not limited to ETL, EDA, Data Processing, Visualization etc.
• Familiarity with machine learning and deep learning models (e.g., TensorFlow, Keras, PyTorch).
• Experience working with SQL DMBS like PostgreSQL is a plus.
• Basic understanding of Natural Language Processing (NLP) concepts
• Knowledge of Python frameworks like Django
• Familiarity with Jira and Agile methodology will be an added advantage.
• Certification or experience in data analysis, data mining, and statistical modelling is an added advantage
• Strong knowledge of statistical concepts and techniques.
• Knowledge in data visualization tools (Tableau, Power BI, etc.) and SQL.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Certification in Data Science is an added advantage.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience: 0 to 1 yr / 2025 Passouts / upcoming 2026 passouts Preferred
• Academics 10th & 12th 85% and above, UG/PG 7 cgpa & above preferred
• Package- 4-6 LPA

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