Data Science Intern (all genders)

About the Position

Data Science Intern (all genders)

Join STARK, a pioneering defence technology company, as a Data Science Intern to analyze flight and operational data, develop predictive models, and improve the performance of autonomous systems.

About the Company

STARK is revolutionizing the deployment of autonomous systems across multiple domains. We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. Our focus is on delivering deployable, high-performance systems to bolster the technological edge of NATO Allies and their Partners.

About the Team

The Flight Science team is responsible for analyzing, processing, and interpreting data generated throughout the development and testing of our autonomous systems. By combining advanced analytics, statistical modeling, and engineering expertise, the team transforms complex flight and operational data into actionable insights that improve system performance, reliability, and operational capability.

Your Mission

As a Data Science Intern / Working Student, you will analyze flight and operational data to generate insights that improve the performance of our autonomous systems. You will develop predictive models, perform statistical analysis, and collaborate with engineers to transform complex sensor data into meaningful recommendations that support engineering decisions.

Responsibilities

• Perform exploratory data analysis to identify patterns, trends, and anomalies within flight test and operational data.
• Develop, train, and evaluate predictive models and statistical algorithms to support engineering and product development.
• Create visualizations and reports that communicate technical findings clearly to engineering stakeholders.
• Collaborate with Flight Science engineers to design experiments and validate hypotheses using real-world sensor data.
• Develop data processing workflows to prepare and enrich datasets for modeling and analysis.
• Document methodologies, experiments, and analytical results to support knowledge sharing and reproducibility.
• Support the evaluation of performance metrics for software-defined features and autonomous system capabilities.

Qualifications

• Currently pursuing a degree in Data Science, Computer Science, Physics, Mathematics, or a related technical field, with at least three completed semesters.
• Strong Python programming skills for data analysis and machine learning.
• Solid understanding of statistics and machine learning fundamentals.
• Experience using SQL to query and manage relational databases.
• Familiarity with data visualization libraries such as Matplotlib or Plotly, or comparable BI tools.
• Experience using Git or other version control systems.
• Strong English communication skills, both written and spoken.
• Availability to work full-time for a six-month internship or part-time (15–20 hours per week) as a working student.

Nice to Have

• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Familiarity with time-series analysis, sensor data, or signal processing.
• Basic knowledge of cloud platforms (AWS, Azure, or GCP) or Docker.
• Experience translating complex analytical findings into practical recommendations for technical or business stakeholders.

We Offer

• Opportunity to work in a cutting-edge defence technology company.
• Collaborate with a diverse and talented team.
• Gain hands-on experience in data science and autonomous systems.
• Potential for professional growth and development.

About Us

SECURITY CLEARANCE

Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

EQUAL OPPORTUNITY

We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.