The posting
Sparrow Quantum is seeking a student assistant with a data science background to support our business functions with automation and data management
- Type: Part-time student position
- Hours: 10 to 15 hours per week, planned around your studies
- Compensation: Hourly wage according to qualifications
- Location: Frederiksberg
- Start date: February 1 (flexible)
- Reports to: VP of Finance
About the role
Do you want to apply your data science skills to real business problems in a deep-tech scale-up?
As Sparrow Quantum grows, so does the data behind the business: customer and supplier records, orders, finance figures, and hiring data spread across spreadsheets and systems. We are looking for a student assistant to bring order to that data and automate the work around it, in close collaboration with finance, operations, HR, sales, and marketing.
To be clear about the scope: this is applied data work for business functions, not machine learning research. Your hours will be split evenly between data management and automation on one side, and business support across the company on the other.
Responsibilities
Data management
- Clean and maintain business data across finance, operations, HR, sales, and marketing
- Support on developing data flows between our systems, so the same data is not entered twice
- Maintain data quality checks, naming conventions and documentation, and keep them up to date
- Support maintaining dashboards and reports that give management and teams an up-to-date view of key figures, in tools such as Power BI and Excel
Automation
- Support on mapping recurring manual processes and propose which to automate first
- Help build and maintain automations in Python or other tools, and with tools such as Microsoft 365
- Use AI tools, including large language models, to speed up data handling and reporting, within our rules for confidential information
- Document what you build so colleagues can run it when you are not there
Business support (about half your time)
- Support finance, operations, and HR with day-to-day tasks such as documentation, purchasing, invoicing, and supplier contact
- Take on ad hoc analyses and small projects wherever the business needs a hand
Who we are looking for
You enjoy turning messy data into something people can rely on, and you would rather fix a process than repeat it. You are curious about how a company works across functions, and you can explain your work to colleagues without a technical background.
You have
- Enrollment in a bachelor's or master's program in data science or a related field, with at least 1.5 years of study left
- Experience with Python for data work, including pandas or similar libraries
- Knowledge of SQL and relational data
- Experience cleaning, structuring, and visualizing real-world data
- Hands-on experience with AI tools such as ChatGPT, Claude or Copilot, and a realistic view of where they fail
- A structured, reliable way of working
- Discretion with confidential information
- Fluent written and spoken English
Nice to have
- Experience with Power BI, Power Automate or other Microsoft 365 tools
- Experience with APIs or simple data pipelines
- Understanding basic accounting and financial data
- Curiosity about quantum technology. No physics background required
What we offer
- Flexibility: hours planned around lectures and exams, with lighter weeks when your studies require it
- Visible impact: the data flows, dashboards and automations you build will be used by the team every day, not filed away
- A view of the whole company: insight into how a deep-tech scale-up works across R&D, production, sales and finance
- A supportive team: colleagues who share knowledge freely and expect you to ask questions
- Shaping your role: it is a new role, and you can help shape it
How to apply
Scroll down to submit your CV and a short cover letter in English. In the letter, describe one data or automation project you have worked on: the problem, what you built and what it changed. A GitHub link or a few sentences is enough.
We review applications as they arrive and may close the position early, so apply soon. The final deadline is 1st December. For questions about the role, contact Anna Sogli, [email protected].
We are committed to a diverse, equitable and inclusive workplace and welcome applicants of all backgrounds and identities.
About Sparrow Quantum
Sparrow Quantum is a Danish quantum technology company advancing light-matter interfaces for quantum technologies and is widely recognized as a leader in single-photon sources.
Our first product is an on-chip single-photon source that delivers more than 20 million high-quality single photons per second into an optical fiber, used by customers for applications such as multi-photon quantum simulation and quantum key distribution.
The patented technology builds on more than two decades of research by founder Peter Lodahl and the Hy-Q Center of Excellence at the Niels Bohr Institute in Copenhagen. Learn more at www.sparrowquantum.com.
