Data Science Research Intern

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.