9,160 Data Mining jobs in India

Our Story ISMG  is a tech- enabled, global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence.

We deliver a comprehensive portfolio of content, data analytics, training and market intelligence to support cybersecurity, operational technology (OT), fraud prevention, and risk management industries.

With 10+ brands, 38 digital media properties, and over 400 premier events annually—ISMG connects a network of over 2M executives, decision-makers, and innovators with the insights and opportunities they need to stay ahead.

The Opportunity ISMG is currently seeking a Data Mining & Research Specialist to join our team!

In this role, you will contribute to a variety of critical data projects, conducting thorough research on various aspects of the ISMG subscriber base.

By consistently updating data entry points, your work will ensure all relevant information is accurate and current.

Responsibilities Executing research projects, involving standardized and customized data sets, catering to ISMG's customer base and internal business needs.  Contributing to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects.  Collaborating with internal stakeholders to provide regular progress updates, proactively identifying challenges or potential roadblocks and addressing them promptly.  Requirements & Preferred Experience  Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred.

At least one year of professional experience in Market Research fields.

Advanced expertise in Excel with the ability to handle complex data analysis tasks.

Proficiency in Microsoft Word and PowerPoint, with a strong ability to learn and adapt to other data and marketing programs quickly.

Data manipulation and/or quantitative research experience is preferred. In lieu of experience, must have a strong desire to learn.

Experience with hierarchical databases and exposure to data software packages is preferred.

Knowledge of Power BI is a major advantage.

Exceptional communication, both written and verbal, along with strong presentation abilities.

Excellent time management and project management skills.

Additional Details:  Location: on-site at our Mumbai office.  Mandatory in-office presence required Monday-Friday during standard hours of operation.  Powered by JazzHR

About the Role

Overview:

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society.

We are currently looking for a Data Engineer + Instructor– Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics.

Key Responsibilities:

● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques.

● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.

● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly detection.

● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.

● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).

● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).

● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.

● Contribute to the academic and research environment of the department and the university.

Required Qualifications:

● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.

● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.

● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).

● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.

● Excellent communication and interpersonal skills.

Preferred Qualifications:

● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.

● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.

● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).

● Experience in mentoring student teams for data science competitions or hackathons.

Perks & Benefits:

● Competitive salary packages aligned with industry standards.

● Access to state-of-the-art labs and classroom facilities.