Company Overview

TwiLearn Pay After Placement is an innovative online learning platform that equips IT aspirants in India with essential skills to secure high-paying jobs. The company collaborates with Promentix Software Solutions Pvt Ltd to provide internships and offers placement assistance before course completion. Located in Pune, TwiLearn focuses on digitization trends, delivering live classes, hands-on exercises, and industry-grade projects, ensuring learners are well-prepared for the corporate world.

Job Overview

We are seeking a motivated and enthusiastic Data Science Intern to join our team. This is a fresher-level internship position available across Pune, Mumbai, Bangalore, Kolkata, Delhi, Noida, and Gurgaon. The role is ideal for candidates with 0 to 1 year of work experience who aspire to gain practical data science experience. This internship offers exposure to real-world projects and provides candidates with opportunities to develop their technical skills in a supportive and dynamic environment.

Qualifications and Skills

• Proficiency in Python, enabling candidates to execute data manipulation tasks efficiently (Mandatory skill).
• Expertise in data visualization techniques to transform data into insightful visual reports (Mandatory skill).
• Ability to write and execute SQL queries for maintaining and analyzing data within relational databases (Mandatory skill).
• Familiarity with machine learning algorithms and methods to design intelligent systems and predictive models.
• A strong background in statistical analysis to interpret data patterns and deliver actionable insights.
• Experience in data cleaning procedures, ensuring dataset accuracy and reliability for analysis.
• Proficiency in predictive modeling techniques to forecast trends and patterns in data.
• Excellent data interpretation skills, allowing candidates to draw meaningful conclusions from complex datasets.

Roles and Responsibilities

• Assist in collecting, cleaning, and preparing data for analysis to support decision-making processes.
• Collaborate with the data science team to apply machine learning models to real-world datasets.
• Contribute to the design and development of data visualizations to communicate insights to stakeholders.
• Conduct exploratory data analysis to identify patterns, anomalies, and relationships within datasets.
• Support the team in creating comprehensive reports presenting findings and actionable recommendations.
• Participate in team meetings to discuss project progress, challenges, and future direction.
• Engage in continuous learning to remain updated with the latest trends and techniques in data science.
• Assist in deploying models and solutions in collaboration with software development teams where applicable.