Unqicli is seeking motivated senior undergraduate and graduate students in Data Science for a semi-guided internship opportunity. Join our team to support cutting-edge research in cybersecurity and contribute to data-driven insights using tools like Tableau or Power BI.
We are currently conducting extensive research on - Cybersecurity vulnerabilities, Software Development Life Cycle (SDLC) security, Site engineering vulnerabilities, Social reverse engineering techniques.
We aim to proactively address the rising number of cyber threats and contribute to a more secure digital environment.
Responsibilities:
- Assist in Extract, Transform, Load (ETL) processes for our raw research reports and vulnerability reports, including Common Vulnerabilities and Exposures (CVEs)
- Conduct in-depth analysis of cybersecurity data and trends
- Create data visualizations and dashboards using Tableau or Power BI to present research findings
- Support the writing and publishing of whitepapers on research outcomes
- Collaborate with cross-functional teams to derive actionable insights from our cybersecurity research
Qualifications:
- Currently enrolled in a senior undergraduate or graduate program in Data Science, Statistics, Computer Science, or a related field
- Strong analytical and problem-solving skills
- Proficiency in data analysis tools (e.g., Python, R) and ETL processes
- Experience with data visualization tools (Tableau or Power BI preferred)
- Interest in cybersecurity and willingness to learn about the field
- Excellent written and verbal communication skills
- Ability to work independently and as part of a team
What We Offer:
- Hands-on experience in cybersecurity data analysis and research
- Opportunity to contribute to published research and whitepapers in the cybersecurity field
- Exposure to real-world cybersecurity challenges and data-driven solutions
- Free Access to enterprise training and tools for up to 6 months
Unqicli is an equal-opportunity employer. We value diversity and encourage all qualified candidates to apply.