Sparky Solution d.o.o.: Driving Innovation in Data, AI and Digital Transformation

University of Split

3-6 months

10-12 hours

Sparky solution d.o.o., Slavonska 9, 10430 Samobor, Croatia

Sparky solution d.o.o. (Sparky*) is a technology company focused on data, artificial intelligence and digital transformation. We design and build end-to-end solutions that combine modern data platforms, machine learning, generative AI and cloud services to help organisations make better, faster decisions.

Our team works on projects in sectors such as energy, healthcare, finance and education, where we develop prototypes, production-ready applications and decision-support tools. Alongside client work, we explore new technologies and actively share knowledge through workshops, mentoring and community events.

For students, Sparky* offers a flexible and supportive remote environment, direct collaboration with experienced engineers and researchers, and the opportunity to work on real-world problems that connect academic knowledge with practical impact.

Entry requirements:

Enrolment at a SEA-EU partner university (Bachelor or Master level)
Strong interest in data, AI, or in marketing / product management related to data- and AI-driven products
Basic skills in programming and/or statistics are an advantage
Good command of English (spoken and written)

Reliable internet connection and ability to work in a remote, self-organised way.

Tasks and duties entrusted to the student:

The intern will join an ongoing data and AI project and support the team in tasks that match their background and study programme. Typical responsibilities may include:

collecting, cleaning and documenting datasets for analytics or machine-learning models
assisting in designing, testing and evaluating data prototypes (e.g. statistical analysis, dashboards)
implementing small software components, scripts or notebooks for data processing and automation for students with technical background
preparing concise documentation, visualisations and slide decks that explain methods and results for students with other backgrounds
participating in online meetings with the project team, taking notes and following up on agreed tasks
contributing to internal knowledge-sharing materials (short how-to guides, code examples, best practices).

The exact focus (more technical, analytical or communication-oriented) will be adapted to the student’s skills and learning goals, defined together at the beginning of the internship.

Continuous assessment based on:

completion and quality of agreed tasks and deliverables
active participation in online meetings and responsiveness in digital communication
a short final report and/or presentation of outcomes

mentor’s qualitative evaluation of progress, professionalism and collaboration.

Duration:

Typically 3-6 months, around 10 hours per week (flexible schedule adapted to courses and exams).

Student workload:

6–8 hours per week of individual project work plus 1–2 hours for online meetings, feedback sessions and self-reflection.

Skills to be acquired or developed:

By the end of the internship, the student will be able to:

apply basic data and/or software-engineering methods in a real project
use modern digital tools for remote teamwork (version control, online collaboration and project-management platforms)
communicate progress and technical results clearly in written and oral form
reflect on their own work organisation and improve time-management in a digital environment
understand the main phases of an applied AI / data project from idea to prototype.

Upon successful completion of the internship, the student will be awarded a certificate. Recognition of the internship is subject to the university’s internal policies.

Zivko Krstic: zivko@sparky.science

https://sparky.science/