Career Opportunities
| Job Title | Role | Technology Required | Description | Action |
|---|---|---|---|---|
| Data Science & Analytics Trainer | Full-Time | Python ,ML , AI , BI Tools | Data Science & Analytics Trainer (Python | ML | AI | BI Tools) Location: Cha. Sambhajinagar, Maharashtra Employment Type: Full-Time Experience Level: 1+ years of industry or training experience in Data Science About the Role: We are looking for a dynamic and knowledgeable Data Science & Analytics Trainer to join our training team. You will be responsible for delivering hands-on, engaging sessions that cover the entire data science lifecycle—from foundational programming to advanced machine learning and business intelligence tools. If you're passionate about teaching and shaping future data professionals, we want to hear from you! Key Responsibilities: Deliver end-to-end training sessions based on the outlined curriculum Design hands-on projects, case studies, and assessments for real-world application Mentor learners through practical challenges and capstone projects Provide clear, constructive feedback and personalized support Continuously update course content to reflect industry trends and best practices Engage learners using interactive tools, demonstrations, and storytelling Curriculum Overview: Python for Data Science Introduction to Python and core packages (NumPy, Pandas, etc.) Data importing, wrangling, and performance/error metrics Machine Learning Supervised & Unsupervised Learning techniques Support Vector Machines, Kernel methods, and ensemble models Artificial Intelligence & Deep Learning AI fundamentals and use cases Deep learning algorithms NLP basics, feature engineering, and NLP task pipelines Business Intelligence Tools Tableau: Reports, visualizations, dashboards, filters, server publishing Power BI: Data modelling, advanced DAX, visual storytelling, collaboration, security SQL for Data Analysis Data retrieval, joins, aggregations, subqueries, schema management, regular expressions Statistics & Data Science Concepts Probability distributions, regression, classification, time series, Bayesian analysis Statistical inference for decision-making Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field Proven experience in delivering training or working in the data science domain Expertise in Python, SQL, Tableau, and Power BI Strong command over statistical methods, machine learning, and real-world data applications Excellent communication, mentoring, and presentation skills Ability to break down complex concepts into simple, digestible content Preferred Skills: EdTech or corporate training experience Industry-recognized certifications in Data Science or BI tools Experience with real-time dashboards, big data platforms, or cloud-based analytics What We Offer: Competitive compensation Opportunity to shape the next generation of data professionals A collaborative, learner-focused work environment. | |
| Social Media Intern | Full-Time | Currently pursuing or recently completed a degree/diploma in Marketing, Communications, or related field. | - Create and schedule engaging content across social media platforms. - Monitor channels, respond to comments/messages, and build online community engagement. - Support campaigns to promote training programs, events, and initiatives. - Research trends, hashtags, and competitor activities to boost visibility. - Track performance metrics and prepare weekly engagement reports. |
Data Science & Analytics Trainer
Role: Full-Time
Technology: Python ,ML , AI , BI Tools
Description: Data Science & Analytics Trainer (Python | ML | AI | BI Tools) Location: Cha. Sambhajinagar, Maharashtra Employment Type: Full-Time Experience Level: 1+ years of industry or training experience in Data Science About the Role: We are looking for a dynamic and knowledgeable Data Science & Analytics Trainer to join our training team. You will be responsible for delivering hands-on, engaging sessions that cover the entire data science lifecycle—from foundational programming to advanced machine learning and business intelligence tools. If you're passionate about teaching and shaping future data professionals, we want to hear from you! Key Responsibilities: Deliver end-to-end training sessions based on the outlined curriculum Design hands-on projects, case studies, and assessments for real-world application Mentor learners through practical challenges and capstone projects Provide clear, constructive feedback and personalized support Continuously update course content to reflect industry trends and best practices Engage learners using interactive tools, demonstrations, and storytelling Curriculum Overview: Python for Data Science Introduction to Python and core packages (NumPy, Pandas, etc.) Data importing, wrangling, and performance/error metrics Machine Learning Supervised & Unsupervised Learning techniques Support Vector Machines, Kernel methods, and ensemble models Artificial Intelligence & Deep Learning AI fundamentals and use cases Deep learning algorithms NLP basics, feature engineering, and NLP task pipelines Business Intelligence Tools Tableau: Reports, visualizations, dashboards, filters, server publishing Power BI: Data modelling, advanced DAX, visual storytelling, collaboration, security SQL for Data Analysis Data retrieval, joins, aggregations, subqueries, schema management, regular expressions Statistics & Data Science Concepts Probability distributions, regression, classification, time series, Bayesian analysis Statistical inference for decision-making Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field Proven experience in delivering training or working in the data science domain Expertise in Python, SQL, Tableau, and Power BI Strong command over statistical methods, machine learning, and real-world data applications Excellent communication, mentoring, and presentation skills Ability to break down complex concepts into simple, digestible content Preferred Skills: EdTech or corporate training experience Industry-recognized certifications in Data Science or BI tools Experience with real-time dashboards, big data platforms, or cloud-based analytics What We Offer: Competitive compensation Opportunity to shape the next generation of data professionals A collaborative, learner-focused work environment.
Social Media Intern
Role: Full-Time
Technology: Currently pursuing or recently completed a degree/diploma in Marketing, Communications, or related field.
Description: - Create and schedule engaging content across social media platforms. - Monitor channels, respond to comments/messages, and build online community engagement. - Support campaigns to promote training programs, events, and initiatives. - Research trends, hashtags, and competitor activities to boost visibility. - Track performance metrics and prepare weekly engagement reports.