Ant Arge Tech is hosting a Data Analyst Intern for its R&D team in Alanya, Türkiye, in an Erasmus+ traineeship that runs for 3 to 12 months and starts on 1 January 2027. Applications close on 31 December 2026. At Youth Works Hub, we reviewed the full offer: it is open to Bachelor, Short-cycle, Master and PhD students who study in Erasmus+ Eligible Countries and hold a scholarship.
Internship at a Glance
🏢 Organisation: Ant Arge Tech
📊 Role: Data Analyst for Smart City, Mobility and Transportation
📍 Location: Alanya, Türkiye
🎓 Programme: Erasmus+ traineeship (during studies)
📆 Expected start: 1 January 2027
⏳ Duration: minimum 3 months, maximum 12 months
🕘 Schedule: full time, 40 hours per week
🗣️ Working language: English
🧪 Field: software and applications development and analysis
About Ant Arge Tech
Ant Arge Tech provides permanent software solutions for technology needs. The company was founded in 2021 with the support of TUBITAK and operates within Antalya Teknokent. It serves domestic and international clients.
Its staff consists of experienced and dynamic people, including academic staff and students from Alanya Alaaddin Keykubat University and Akdeniz University, working in university-industry collaborations. The company says it prioritises innovative and permanent methods when solving the technological needs of individuals, institutions and organisations.
What Does a Data Analyst Intern Do at Ant Arge Tech?
Ant Arge Tech is seeking a motivated Data Analyst Intern to join its R&D team. The role is about working with complex datasets from urban mobility systems and IoT devices. The ideal candidate is passionate about uncovering insights from data to solve real-world problems and to drive innovation in smart city technologies.
Your Main Responsibilities
🧹 Collect, clean and preprocess large datasets related to mobility patterns, sensor data and user behaviour.
🔎 Perform exploratory data analysis (EDA) to identify trends, patterns and anomalies.
🤖 Develop and implement statistical models and machine learning algorithms for challenges such as demand forecasting, user behaviour analysis or route optimisation.
📈 Create compelling data visualisations, dashboards and reports that communicate findings to both technical and non-technical stakeholders.
📚 Collaborate with the research and development team and contribute to scientific publications and project reports.
Working With Mobility and Sensor Data
The first two responsibilities are the foundation of the role. You collect, clean and preprocess data from mobility patterns, sensors and user behaviour, then run exploratory data analysis to find trends, patterns and anomalies before any model is built.
Modelling and Machine Learning Tasks
Statistical models and machine learning algorithms are used for real mobility questions: demand forecasting, user behaviour analysis and route optimisation. The offer names these as examples of the challenges you may address.
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Dashboards, Reports and Research Output
Results have to be understood by different audiences. You create data visualisations, dashboards and reports for technical and non-technical stakeholders, and you help the team with scientific publications and project reports.
Skills and Requirements
🐍 Strong proficiency in Python or R for data analysis.
🧰 Hands-on experience with data analysis and machine learning libraries, for example Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
🗄️ Familiarity with SQL and experience in querying databases.
📐 A solid understanding of statistical analysis and machine learning concepts.
🧩 Excellent problem-solving skills.
Which Study Levels Are Accepted?
The offer welcomes interns with a Bachelor's, Short-cycle, Master's or PhD degree path. The listed levels of study are:
📘 Bachelor (EQF 6)
📗 Master (EQF 7)
🔬 Doctorate (EQF 8)
Who Can Be Hosted: Study Country and Scholarship
Ant Arge Tech states that it can only host students who are currently studying in ERASMUS+ Eligible Countries, and the ones who have scholarships. Both conditions matter: you need to be studying in an eligible country and to have a scholarship.
Expected Skills
The offer lists these skill areas for the traineeship:
🖥️ Accessing and analysing digital data
🌿 Sustainability and green transition
🧠 Analysing and evaluating information and data
📊 Data analytics, mining and visualisation
🗂️ Data management
💻 Computer skills
Working Language
The working language is English.
Duration, Schedule and Weekly Hours
The offer text sets a duration from a minimum of 3 months to a maximum of 12 months, and the offer's duration field shows 12 months. The traineeship is full time with 40 hours per week, and the expected starting date is 1 January 2027.
What Ant Arge Tech Provides
The listed benefits are:
🏫 Learning courses and training assistance
🌐 Internet connection
Visa and Work Authorization Support
International candidates can be hosted. Ant Arge Tech states that it will provide the necessary documentation, such as a signed Learning Agreement and an invitation letter.
Is This Internship Paid?
The offer is listed as an unpaid traineeship under the Erasmus+ traineeship programme, and hosting is limited to students who have scholarships. Our guide on how funded traineeships really work explains how Erasmus+ traineeship grants differ from an employer salary.
How to Apply
Send your CV and cover letter in Europass format by email to the application address listed at the end of this post. Our guide on how to prepare your Europass CV shows how to build one. The deadline is 31 December 2026.
Find more opportunities like this in our internship and traineeship listings on Youth Works Hub.
Frequently Asked Questions
What is the Ant Arge Tech Data Analyst internship about?
It is an Erasmus+ traineeship in the R&D team of Ant Arge Tech in Alanya, Türkiye. The intern works with complex datasets from urban mobility systems and IoT devices to support smart city technologies.
How long does the internship last and when does it start?
The offer text states a minimum of 3 months and a maximum of 12 months, and the duration field shows 12 months. The expected starting date is 1 January 2027.
Is the internship full time?
Yes. The schedule is full time with 40 hours per week.
Is the Ant Arge Tech internship paid?
No. It is listed as an unpaid traineeship under the Erasmus+ traineeship programme.
Which study levels can apply?
Bachelor (EQF 6), Master (EQF 7) and Doctorate (EQF 8) students are listed, and the offer text also welcomes Short-cycle students.
Who can be hosted?
Ant Arge Tech can only host students who are currently studying in Erasmus+ Eligible Countries and who have scholarships.
Which skills do I need?
Strong proficiency in Python or R, hands-on experience with data analysis and machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch, familiarity with SQL, a solid understanding of statistics and machine learning, and excellent problem-solving skills.
What will I work on?
You collect, clean and preprocess datasets, run exploratory data analysis, build statistical and machine learning models for demand forecasting, user behaviour analysis or route optimisation, create dashboards and reports, and contribute to scientific publications and project reports.
What is the working language?
The working language is English.
Can international candidates apply?
Yes. Ant Arge Tech can host international candidates and will provide the necessary documentation, such as a signed Learning Agreement and an invitation letter.
What benefits does the internship include?
The listed benefits are learning courses with training assistance and an internet connection.
How do I apply?
Send your CV and cover letter in Europass format by email. The address is listed at the end of this post.
What is the application deadline?
Applications close on 31 December 2026.
Deadline
⏳ 31 December 2026
Links
📧 Application email: antargetech@gmail.com
🌐 Ant Arge Tech website: https://antargetech.com
