MNJ SOFTWARE

Talent'd HR Solutions; Remote; IDR 37.257.000 - 74.516.000; Full time

Job summary

A fast-growing IT services organization is seeking a Data Science Intern. This remote role involves assisting in the development of software and analyzing data to support lab processes and design dashboards. Candidates should be pursuing a Bachelor's degree and have basic coding skills in Python, along with an understanding of data science fundamentals. This internship offers flexibility with a focus on collaboration and problem-solving, making it ideal for those looking to gain experience in a dynamic environment.

Qualifications

• Currently pursuing or completed a Bachelor's degree in a relevant discipline.
• Basic coding skills in Python.
• Knowledge of visualization tools like Tableau or PowerBI.
• Understanding of statistics and machine learning fundamentals.
• Basic knowledge of Microsoft Azure and ETL operations.

Responsibilities

• Assist in developing portfolio management software and automated ETL pipelines.
• Analyze laboratory experiment data using data science techniques.
• Support lab processes and conduct advanced analysis of consumer testing results.
• Design interactive dashboards to visualize analyzed data.

Skills

Python

Tableau

Machine Learning

Data Science

Statistics

Communication Skills

Analytical Thinking

PowerBI

Microsoft Azure

ETL Operations

Education

Bachelor’s degree in Business

Marketing

Computer Science

Data Science

Job description

MNJ SOFTWARE is a fast-growing IT services, business solutions, and outsourcing organization, delivering tangible results to global businesses through its renowned Global Network Delivery Model. The company specializes in technology consulting, application services, systems integration, product engineering, custom software development, maintenance, re-engineering, independent testing, IT infrastructure services, and business process outsourcing.

Position Overview

We are seeking passionate and talented individuals for the role of Data Science Intern. This internship offers an opportunity to participate in the design, development, and implementation of architectural deliverables for MNJ SOFTWARE’s projects and products. You will collaborate closely with team leads, testers, customers, project managers, and designers to deliver innovative solutions.

Key Responsibilities

• Assist in developing portfolio management software and automated ETL pipelines using Microsoft Azure functions.
• Analyze laboratory experiment data using data science techniques to support modelling and formula optimization.
• Support lab processes such as sample handling, equipment logistics, and maintaining lab cleanliness.
• Conduct advanced analysis and correlations of consumer testing results.
• Design interactive dashboards using PowerBI to visualize analyzed data.

Required Skills & Qualifications

• Currently pursuing or completed a Bachelor's degree in Business, Marketing, Computer Science, Data Science, Artificial Intelligence, or a related discipline.
• Basic coding skills in Python.
• Knowledge of visualization tools such as Tableau or PowerBI.
• Understanding of statistics, data science, and machine learning fundamentals.
• Basic knowledge of Microsoft Azure and ETL operations.
• Analytical mindset with a passion for learning and problem-solving.

Personal Attributes

• Analytical thinking and problem-solving abilities.
• Ability to work independently and collaboratively.
• Professionalism and commitment to deadlines.
• Team-oriented mindset with willingness to learn from others.
• Type: Full-time Internship
• Schedule: Monday to Friday, flexible 9-hour shifts between 6am-10pm IST or 6pm-6am IST.
• Location: Remote (Work From Home)
• Experience: 0-1 years
• Salary: Best in Industry (₹2-4 LPA).

Key Skills

• Python
• Tableau
• Machine Learning
• Data Science
• statistics
• communication skills
• Analytical Thinking
• PowerBI
• Microsoft Azure
• ETL Operations

Education Requirements

• Bachelor’s degree in Business
• Marketing
• Computer Science
• Data Science
• or related discipline