Explore the dynamic field of data mining, a crucial area within data science and analytics. Data mining jobs involve extracting valuable insights and patterns from large datasets, aiding businesses in making informed decisions. Professionals in this domain use various techniques, including machine learning, statistical analysis, and database systems, to uncover hidden trends and predict future outcomes. These roles are vital for organizations seeking to leverage data for competitive advantage and innovation.14 Data Mining jobs in India
Data Scientist
Job Viewed
Job Description
Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide.
Role: Data Scientist
Reporting to: Lead AI/ML
Location: Mumbai/Bangalore/Pune/Kolkata
**Job brief**:
- We are looking for Data Scientists to build data products to be the core of SAAS company disrupting the Skill market.
- You would be required to create and participate in evolving Analytical culture of the organization, experiment with the existing Analytical Techniques, Improvise on existing algorithms to solve the problems at hand, Innovate new algorithms to disrupt the industry, and play the critical role in solving the problems at hand.
**Responsibilities**:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
**Requirements**:
- Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience.
- Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis.
- Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling.
- Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders.
- Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools.
- Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations.
**Required Skills**:
Machine Learning, Deep Learning, Algorithms, Computer Science, Engineering, Operations Research, Math Skills, Communication Skills, SAAS Product, IT Services, Artificial Intelligence, ERP, Product Management, Automation, Analytical Models, Predictive Models, NLP, Forecasting Models, Product Development, Leadership, Problem Solving, Unsupervised Learning, Reinforcement Learning, Natural Language Processing, Algebra, Data Science, Programming Language, Python, Julia.
**What Makes Us Unique**
- First-Mover Advantage: We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry.
- Innovative Product Suite: Our solutions offer forward-thinking features that outshine traditional ERP systems.
- Strategic Expertise: Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights.
- Experienced Leadership: Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber.
- Diverse and Growing Team: We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata.
- Strong Financial Backing: Series A-funded by Sequoia, with global IT companies using our product as a core solution.
**Why Join Prismforce**
- Competitive Compensation: We offer an attractive salary and benefits package that rewards your contributions.
- Innovative Projects: Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain.
- Collaborative Environment: Thrive in a dynamic, inclusive culture that values teamwork and innovation.
- Growth Opportunities: Continuous learning and development are core to our philosophy, helping you advance your career.
- Flexible Work: Enjoy flexible work arrangements that balance your work-life needs.
By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management.
**Perks & Benefits**
- Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development
- Insurance Coverage-Group Mediclaim cover for self,spouse,kids and parents & Group Term Life Ins
Job No Longer Available
This position is no longer listed on WhatJobs. The employer may be reviewing applications, filled the role, or has removed the listing.
However, we have similar jobs available for you below.
Data Mining
Posted today
Job Viewed
Job Description
- Reviewing and analyzing data to uncover patterns and trends in behavior or public preferences
- Recommending improvements to business processes based on findings from data mining projects
- Gathering and cleaning data from multiple sources, including surveys, interviews, and public records
- Identifying opportunities for new products or services based on market research trends
- Developing models using statistics, mathematics, and computer science principles to extract information from large data sets
- Customizing reports to stakeholders based on findings from data analysis projects
- Identifying new sources of data to explore based on findings from previous projects
- Recommending changes to existing business processes to improve efficiency
- Role:_Data Analyst
- Salary:_ Not Disclosed by Recruiter
- Industry:_Electronic Components / Semiconductors
- Functional Area:_Data Science & Analytics
- Role Category:_Business Intelligence & Analytics
- Employment Type:_Full Time, Permanent
- Key Skills
- Computer ScienceData AnalysisData MiningMathematicsStatisticsMarket Research
Education
- UG:_Any Graduate
**Company Profile**:
Zodiac HR Consultants (I) Pvt Ltd.
- Electrical Product Manufacturing
- Recruiter Name:_Asha
- Contact Company:_Zodiac HR Consultants (I) Pvt Ltd.
- Telephone:_9833142611
Data Mining
Posted today
Job Viewed
Job Description
- **Data Mining**:
- Identify and collect relevant data from various sources to build prospect lists.
- Conduct in-depth research to identify potential markets, industries, and companies that align with the company's target audience.
- Maintain an organized database of leads and prospects for effective follow-up.
- Keep lead data organized and up-to-date in CRM systems to ensure the sales team has accurate information for follow-up.
- **Cold Calling**:
- Conduct outreach to prospective clients, initiating conversations to identify their needs and introduce our solutions.
- Establish rapport and build strong relationships with potential customers.
- Qualify leads and set up meetings or follow-up calls for further engagement.
- Track and report campaign performance to improve reach and engagement.
- Collaborate with sales and marketing to define buyer personas, understanding pain points, needs, and preferred communication channels for each persona.
- **LinkedIn Outreach**:
- Leverage LinkedIn to identify, connect, and engage with potential clients.
- Use personalized messaging to build connections and generate leads.
- Monitor LinkedIn campaign performance and optimize outreach strategies.
**Required Skills and Qualifications**:
- 1-2 years of experience in business development, lead generation, or a related field.
- Proven track record of lead generation.
- Strong analytical skills to interpret data and develop actionable insights.
- Excellent verbal and written communication skills.
- Ability to work independently and as part of a team.
- Proficiency with CRM systems and marketing automation tools is a plus.
**Job Types**: Full-time, Permanent
Pay: ₹15,000.00 - ₹25,000.00 per month
**Benefits**:
- Health insurance
- Paid sick time
- Paid time off
- Provident Fund
Schedule:
- Day shift
- Monday to Friday
Supplemental Pay:
- Performance bonus
- Yearly bonus
**Experience**:
- Data mining: 1 year (required)
Work Location: In person
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining Analyst
Posted today
Job Viewed
Job Description
improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining & Research Specialist
Posted today
Job Viewed
Job Description
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
Be The First To Know
About the latest Data mining Jobs in India !
Data Engineer+ Instructor- Data Mining
Posted 21 days ago
Job Viewed
Job Description
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.
Data Engineer+ Instructor- Data Mining
Posted today
Job Viewed
Job Description
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.
Data Engineer+ Instructor- Data Mining
Posted today
Job Viewed
Job Description
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.