Privacy policy

1. Purpose of Data Collection

To recruit personnel and manage the recruitment process, Inetum Romania, as the data controller, collects only the personal information strictly necessary for recruitment purposes.

2. Types of Information Collected

For recruitment, we may collect the following information:

• Full name
• Address
• Phone number(s)
• Email address
• Work experience and skills

Optional Information: Information from your CV or cover letter, such as age, social media profiles, family status, recommendations, strengths, salary expectations, and interests may also be collected, but is not required for the recruitment process.

3. Use of Personal Information

Personal data will be used strictly for recruitment-related purposes, including:

• Creating a candidate profile
• Exchanging relevant information about the position and process
• Conducting interviews and follow-up
• Preparing employment offers or contracts
• Notifying you of similar job opportunities in the future

4. Data Retention Period

Your data will be stored for up to 24 months from the date of collection or update, after which it will be deleted unless required by law.

5. Confidentiality and Data Access

Your data is confidential and will be accessible only to authorized personnel within Inetum Romania for internal purposes. No data will be transferred outside the EU.

6. Your Rights

In accordance with GDPR (EU Regulation 2016/679) and Romanian data protection laws, you have the right to:

• Access, rectify, or delete your personal data
• Restrict or object to processing
• Request data portability

Contact Information:

To exercise these rights or for any questions about how we process your data, please contact us at dpo.ro@inetum.com.

7. Supervisory Authority

If you believe your data rights are not being upheld, you may lodge a complaint with the Romanian Data Protection Authority (ANSPDCP).

8. AI Functionalities in the Recruitment Process

The solution used by Inetum Romania is based on algorithms that identify key elements in CVs (e.g., job category, qualifications). These elements are used to help identify CVs that closely match the skills required for the position in question.

These algorithms leverage Deep Learning technology based on Artificial Intelligence to:

• Adapt to changes in professions and training programs.
• Ensure the best possible match between candidates’ skills and job requirements.

The final selection of CVs for initial qualification remains a manual decision, made by authorized personnel within the recruitment team.