4202 Data Science jobs in india

Key Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

Soft Skills:

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

*Mandatory Competencies *

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

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"

Internship - 6 months internship

Bond - 2 years post internship

Successful candidates will be hired post internship of 6 months.

Job Responsibilities:

We are looking for aspiring Data scientists.

The person is expected to work in the area of data engineering, data visualization and data science

Applicant must have a strong concept of python, ML, and Deep Learning Algorithms.

Fair knowledge of NLP.

Knowledge of data visualization tool like Tableau or Power BI

Knowledge of data processing with Pandas, Spark etc

Strong analytical and problem-solving skills, with clear attention to detail.

Ability to learn new technologies, methods, procedures and take new responsibilities.

Ability to prioritize work.

Possess excellent communication, organizational and creative thinking skills.

Job Types: Full-time, Permanent, Fresher, Internship

Pay: ₹5,000.00 per month

Application Question(s):

• How much do you rate yourself in Python in scale of 1 to 10
• Which data science/machine learning algorithms have you used

Work Location: In person

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

• Experience in Python (Should be >4years).
• Experience in NLP (Should be >4years).
• Experience in hands-on use of deep learning framework (Should be >4years). Any framework out of Pytorch OR Tensorflow, is mandatory.
• Experience with handling Text or Speech Dataset
• Experience in using Transformer based models (like BERT, T5, RoBerta). (Should be >2projects)

Skills:

• Proven experience as an NLP and ML Engineer or similar role
• Have worked on open-source LLM (like Falcon and llama) for various text generation task
• Have done SFT or PEFT on decoder based LLM for a specific text generation task
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
• Have worked on BERT models for intent classifiers and entity extraction techniques
• Ability to write robust and testable code
• Experience with machine learning frameworks (PyTorch)
• Knowledge of Python, Groovy Script, BPMN
• An analytical mind with problem-solving abilities
• Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Responsibilities:

• Study and transform data science prototypes
• Design NLP applications
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Develop NLP systems according to requirements
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Remain updated in the rapidly changing field of machine learning

Mandatory Skills Required - Data Science, GenAI, Vertex AI, Python, NLP, Deep Learning Frameworks

Qualification

BE/BTech/MCA/Ph.D. from tier I/II institute in CS or related field

Location

Noida / Gurgaon / Pune / Bangalore ( Hybrid Model )

About the Internship:

We are offering an exciting opportunity for freshers and recent graduates to work on a live AI-driven project. If you are passionate about Data Science, AI, and Full-Stack Development, this internship will give you practical exposure to building and scaling an AI product from the ground up.

Internship Details:

• Duration: 4 Months
• Type: Internship (Unpaid – Experience & Mentorship only)
• Location: Remote / Mumbai preferred
• Eligibility: Freshers or recently passed-out candidates

Responsibilities:

• Build and fine-tune AI/ML models (time-series forecasting, regression, prediction).
• Develop and maintain data pipelines to handle real-world business datasets.
• Contribute to front-end dashboards for visualizing AI insights.
• Work on back-end development (APIs, data integration, model deployment).
• Create impactful data visualizations that translate AI outputs into business insights.
• Collaborate with mentors and product team to improve AI features.

Requirements:

• Knowledge of Python and data libraries (pandas, NumPy, scikit-learn, statsmodels, Prophet).
• Understanding of AI/ML concepts (forecasting, predictive modeling, regression).
• Basic knowledge of front-end frameworks (React/Angular/Vue).
• Basic knowledge of back-end frameworks (Flask, Django, ).
• Familiarity with databases (SQL, NoSQL).
• Problem-solving skills, curiosity, and eagerness to learn.

What You'll Gain:

• Hands-on experience in AI development with real datasets.
• Learn to integrate AI models into full-stack applications.
• Mentorship from professionals working on AI-driven projects.
• Opportunity to work on a live AI product and see your work make impact.
• Certificate of Internship & Letter of Recommendation on successful completion.

How to Apply:

Apply via Indeed with your resume and a short note on why you're excited to work on an AI-related project. or send your resume at

If you are looking to kickstart your career in AI, Data Science, and Full-Stack Development, this internship is a chance to work on something real, impactful, and career-shaping.

Job Types: Part-time, Fresher, Internship

Contract length: 4 months

Pay: From ₹3,000.00 per month

Expected hours: 48 per week

Work Location: Remote

We are seeking an experienced and passionate Data Science & Full Stack Developer Mentor cum Faculty to train and mentor students. The candidate should have strong industry knowledge, hands-on coding expertise, and the ability to simplify concepts for learners.

Key Responsibilities:

Deliver interactive classes in Data Science and Full Stack Development (Python, Django/Flask, JavaScript, React, , SQL/NoSQL).

Teach key Data Science modules: Python for Data Science, Machine Learning, AI Concepts, Data Visualization (Power BI/Tableau), and Statistics.

Guide students with real-world projects, coding practices, and career readiness.

Develop & update curriculum, training material, and assignments.

Conduct assessments, mock interviews, and workshops.

Support placement team by preparing students for technical interviews.

Requirements:

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

0-2 years of hands-on experience in Data Science & Full Stack Development.

Proficiency in Python, SQL, JavaScript, React, , Django/Flask.

Strong understanding of Machine Learning & Data Analytics tools.

Excellent communication and mentoring skills.

Prior teaching/training experience preferred.

Job Types: Full-time, Fresher

Pay: ₹321, ₹1,435,412.59 per year

Benefits:

• Cell phone reimbursement
• Internet reimbursement

Application Question(s):

• What are your salary expectations for this role?
• If offered the position, how soon can you join us?
• How long do you plan to continue with us if offered this role?

Language:

• English (Preferred)

Work Location: In person

Tableau, SQL database, and Python (All are Mandatory)

EX :
5+ years

CTC –
Max 25 LPA

Location :
Bangalore

NP :
0 to 30 days

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)