We are looking for Data Science Python trainees for our upcoming 45 days traineeship program starting 11th June. Python Trainee Responsibilities: Week 1, 2, 3: Training Modules – Candidates will be completing the learning modules taken by industry professionals. Week 4: Live Project 1 – Candidates will be working on the live project assigned to them by the company. Week 5: Live Project 2 – Candidates will be working on the live project assigned to them by the company. Week 6: Project Report – Candidates will be preparing a project report and submit. Data Analytics Trainee Requirements: Bachelor’s degree or pursuing. Proficiency with computers. High level of accountability and motivation. Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Creativity and ability to delegate responsibilities. Receptiveness to feedback and adaptability. Willingness to meet deadlines. Show more Show less
We are looking for Data Science Python trainees for our upcoming 45 days traineeship program starting 11th June. Python Trainee Responsibilities: Week 1, 2, 3: Training Modules – Candidates will be completing the learning modules taken by industry professionals. Week 4: Live Project 1 – Candidates will be working on the live project assigned to them by the company. Week 5: Live Project 2 – Candidates will be working on the live project assigned to them by the company. Week 6: Project Report – Candidates will be preparing a project report and submit. Data Analytics Trainee Requirements: Bachelor’s degree or pursuing. Proficiency with computers. High level of accountability and motivation. Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Creativity and ability to delegate responsibilities. Receptiveness to feedback and adaptability. Willingness to meet deadlines. Show more Show less
Company Description DataPlay is an education and training startup founded by experienced professionals with backgrounds in data science and over 14 years of industry expertise. Our mission is to support aspiring Data Scientists and Analysts through an interview-focused and practical learning experience. We provide mentorship from industry experts, hands-on projects with real-world datasets, and a collaborative environment that encourages active learning. Our programs are designed to strengthen concepts, build job-ready skills, and prepare learners for industry opportunities. Role Description We are seeking a MERN Stack Trainer for a temporary on-site position in Jaipur. The trainer will be responsible for delivering sessions on MongoDB, Express.js, React, and Node.js. Key responsibilities include designing curriculum, conducting training sessions, guiding students through hands-on projects, and assessing progress. The trainer will also help students develop practical skills relevant to technical interviews and foster an engaging, interactive classroom environment. Qualifications Strong knowledge of MongoDB, Express.js, React, and Node.js Experience in designing curriculum and conducting training sessions Ability to mentor learners on real-world projects Strong communication and presentation skills Experience supporting students in preparing for technical interviews Passion for teaching and mentoring aspiring professionals Bachelor’s degree in Computer Science, Information Technology, or related field (preferred) Prior experience in education, training, or mentorship is a plus Compensation Competitive compensation will be provided
Overview As a Data Analyst & Engineer Trainee, you’ll learn to turn raw data into reliable insights and build the lightweight pipelines that power those insights. Day-to-day you’ll explore datasets, write SQL, prototype in Python, create dashboards, design simple data models, and document your work—while collaborating with mentors and presenting findings clearly. What you’ll do Data Analytics (Analyst side) Query and analyze data with SQL ; perform EDA and basic statistical analysis. Build dashboards/reports (Excel/Power BI/Tableau/Looker) with clear KPIs. Translate business questions into metrics; generate actionable insights and summaries. Data Engineering (Engineer side) Ingest data from CSV/APIs and organize it in warehouse tables (e.g., BigQuery/Snowflake/Redshift/MySQL/Postgres). Implement simple ETL/ELT transforms (SQL/dbt/Python) with basic tests and documentation. Apply data modeling concepts (star/snowflake schemas) and data quality checks. Use Git for version control; follow lightweight CI/checklists for reproducibility. Collaboration & Communication Work with mentors/stakeholders to refine requirements and timelines. Present findings clearly—short Looms/slides/notes with charts and next steps. Keep tidy notebooks/READMEs so others can reproduce your work. Qualifications Nice-to-have Strong analytical thinking; attention to detail and problem-solving. SQL fundamentals; comfort exploring data and writing joins/aggregations. Basic Python (pandas/numpy) or willingness to learn quickly. Understanding of basic statistics (distributions, averages, variance) and data modeling concepts. Clear written/verbal communication; ability to work independently in a remote setup. What you’ll gain Mentored, hands-on experience across analytics + engineering . A portfolio of reproducible notebooks, dashboards, and mini-pipelines . Real feedback on SQL, data modeling, and communication—skills employers value.