Data Science Student Assistant: Visualize HR Insights

Novo Nordisk; Kalundborg; Hybrid; DKK 203,000 - 289,000; Full time

Benefits offered by this job

Pension scheme

Flexible working hours

Hybrid work option

Job summary

Novo Nordisk in Kalundborg is seeking a motivated MSc student to transform HR data into actionable insights within a data science context. You’ll bridge data science and people analytics, creating visualisations for leadership and shaping decisions across the organisation.

Work 8 hours weekly minimum, with hybrid options of in-office or from home. You’ll gain experience in a global manufacturing setting while applying academic knowledge to practical challenges.

Qualifications

• Currently enrolled in an MSc programme within statistics, computer science, or data science.
• Programming & Analytics: Python (Pandas, NumPy, Scikit-learn), SQL
• Business Intelligence & Visualisation: Power BI, Tableau
• Data Preparation & ETL: Alteryx, Power Query
• Collaboration & Version Control: Git
• Microsoft Office proficiency
• Cloud & Data Platforms (nice to have): Azure, Snowflake

Responsibilities

• Acquiring, translating, and preparing data from multiple sources for analysis using ETL tools and processes.
• Performing descriptive, prescriptive, and predictive data analysis to extract meaningful features from complex datasets.
• Building clear, concise, and precise data visualisations that communicate insights to stakeholders and leadership.
• Developing and maintaining dashboards and reports that track key people metrics and support organisational decisions.
• Collaborating with colleagues across the department to identify data-driven opportunities and solve real-world problems.
• Applying academic knowledge to practical challenges, bridging theory and application in a global manufacturing environment.

Skills

Python

SQL

Git

Education

MSc in statistics / computer science / data science

Tools

Power BI

Tableau

Alteryx

Power Query

Azure

Snowflake

Job description

Novo Nordisk in Kalundborg is seeking a motivated MSc student to transform HR data into actionable insights within a data science context. You’ll bridge data science and people analytics, creating visualisations for leadership and shaping decisions across the organisation.

Work 8 hours weekly minimum, with hybrid options of in-office or from home. You’ll gain experience in a global manufacturing setting while applying academic knowledge to practical challenges.