MNJ Software is hiring for the Data Science Intern role. This article outlines the position’s responsibilities and candidate requirements in detail, covering portfolio management software support, Azure-based automated ETL pipelines for lab experiments, data-driven modelling and formula optimisation, consumer testing analysis, and PowerBI dashboard design. Read on to understand what the role involves and what MNJ Software expects from applicants.
Role Overview and Responsibilities
The Data Science Intern will take on a mix of software, data engineering, laboratory support and analytical responsibilities. Day-to-day work includes building and supporting technical solutions and applying data science to drive formula development and consumer insights.
- Portfolio management software support: Contribute to the development and maintenance of portfolio management software that underpins product and experiment tracking.
- Automated ETL pipelines with Microsoft Azure functions: Develop automated pipelines to capture laboratory experiment data using Microsoft Azure functions, ensuring data is collected and prepared for analysis.
- Data science for modelling and optimisation: Analyze captured experiment data to support modelling efforts and optimisation of formula development.
- Laboratory process support: Assist with basic lab processes including sample handling, equipment and material logistics, and general “lab housekeeping” to maintain smooth experimental workflows.
- Consumer testing analysis: Perform advanced analysis and identify correlations in consumer testing results to inform product development decisions.
- Dashboard design: Design dashboards to visualise analysed results using PowerBI, enabling stakeholders to explore findings and make data-driven decisions.
Requirements and Candidate Profile
MNJ Software seeks a motivated (Master) student or recent graduate with a mix of academic grounding and initial practical experience in IT or data science. The role demands both technical capabilities and strong communication to translate product developer needs into concrete data requirements.
- Academic background: Bachelor’s degree in Business, Marketing or a related discipline; (Master) student who has successfully passed semesters in computer science, data science, artificial intelligence, or studies with a strong IT/data science focus.
- Practical experience: First practical experience is required, preferably in IT or Data Science environments.
- Technical skills: Proficiency in Python coding; basic familiarity with visualization tools such as Tableau or PowerBI.
- Foundational knowledge: Basics of statistics, data science and machine learning; basic knowledge of Microsoft Azure and Extract Transform Load (ETL) operations.
- Communication and collaboration: Good communication skills to understand even unspoken needs of product developers and translate those needs into data requirements.
- Mindset and attributes: A data-driven mindset with strong passion for learning, analytical thinking, good problem-solving capabilities and the ability to work independently.
Conclusion
The Data Science Intern at MNJ Software combines software development, Azure-based ETL, hands-on lab support, data analysis for formula optimization, consumer testing correlations, and PowerBI dashboarding. Candidates should hold relevant academic credentials, practical IT/data science experience, Python and visualization skills, basic statistics/ML and Azure knowledge, strong communication, analytical thinking and independence. This role is ideal for a driven, data-focused student.
