Data Scientist Junior

🚀 #WEAREALTIA ALTIA is a multidisciplinary team focused on delivering advanced data-driven solutions that generate measurable impact and enable smarter decision-making. Working across international environments, we combine analytics, artificial intelligence, and business expertise to transform data into strategic value. Our mission is to help organizations evolve through innovation, scalable data platforms, and high-quality analytical solutions, fostering continuous learning, collaboration, and technological excellence. We are looking for a Junior Data Scientist with solid hands-on expertise in machine learning, natural language processing (NLP), business intelligence, data preparation, and MLOps to join our team in digital transformation initiatives supporting large-scale administrative, financial, and digital service domain platforms. The role involves collaborating with business stakeholders, UX designers, data analysts, and solution architects to frame business challenges into data science hypotheses. The specialist will design, train, and deploy predictive and statistical models handling both structured and unstructured data, as well as build automated data preparation pipelines and feature engineering processes. Additionally, the candidate will focus on MLOps practices (CI/CD, model registries, APIs, containerization), model monitoring (bias, drift, accuracy), interactive reporting (Power BI, Qlik, SAP Analytics), and compliance with emerging AI governance frameworks (e.g., EU AI Act, GDPR, model cards, explainability). In close collaboration with cross-functional product teams, the specialist will design rigorous experiments (A/B testing, cross-validation), build data visualization storyboards, and maintain production-grade models. The position requires strong proficiency in Python, R, and SQL, along with practical experience in machine learning libraries, ETL orchestration, and cloud/distributed data environments. ⭐ WHAT WE HAVE FOR YOU? 🚩 Remote work model (far-site delivery with occasional presence in Brussels if required). ⏰ Flexible

working hours
. 📈 Stable position with high-potential professional growth opportunities in international environments. 🚀 Continuous learning and upskilling in cutting-edge MLOps practices, NLP, AI governance, and advanced analytics. 💪 Integration into an experienced, collaborative, and multicultural international team. 💣 Participation in high-impact international digital and ICT projects. 💙 Inclusive and innovation-driven work environment.

REQUIREMENTS:
Educational level &

Experience:
• EQF Level 6 (Bachelor’s degree or equivalent) + minimum 2 years of professional IT experience. General & Sector

Experience:
• Minimum 2 years of experience in scaled Agile frameworks, large-scale financial programming and/or procurement/management systems within international public organizations. Languages:
• Minimum C1 level in English (spoken and written). TECHNICAL & FUNCTIONAL

EXPERIENCE:
• Data Analysis & Analytics: Minimum 2 years of experience utilizing Power BI, Qlik Sense, SAP BO, and analysis using SQL, Python, and R.
• Data Engineering & ETL: Hands-on experience with data preparation/transformation tools, ETL processes, and orchestration (e.g., Talend, Informatica, dbt, Azure Data Factory).
• Machine Learning & NLP: End-to-end model development (scikit-learn, TensorFlow, PyTorch, Hugging Face), feature engineering, hyperparameter tuning, and statistical validation (A/B testing, cross-validation).
• MLOps & Deployment: Model registries, CI/CD pipelines, containerization, APIs, unit testing frameworks, model serving, and reproducibility practices.
• Data Architectures & Cloud: SQL, NoSQL, MongoDB, Hadoop, Data Lakes, Lakehouses, and cloud data services.
• AI Governance & Ethics: Model risk management, drift detection, bias monitoring, model cards, transparency, explainability, GDPR compliance, and alignment with the EU AI Act. TECHNOLOGIES &

SKILLS:
• Programming & Analytics: Python, R, SQL, SAS, Spark.
• ML & NLP Frameworks: Scikit-learn, TensorFlow, PyTorch, Hugging Face.
• BI & Visualization: Power BI, Qlik Sense, Tableau, SAP Analytics, SAP BO.
• Data Engineering & Databases: Talend, Informatica, dbt, Azure Data Factory, SQL/NoSQL, MongoDB, Hadoop, Data Lakes/Lakehouses.
• MLOps & DevOps: CI/CD, Model Registries, REST APIs, Containerization, Unit Testing.
• Soft

Skills:
Strong problem-framing abilities, capability to tell compelling business stories using model insights, excellent interpersonal skills, and agility in scaled Agile/multilingual team environments. NICE TO HAVE:
• Relevant certifications directly related to Data Science, MLOps, or Cloud AI platforms. This job offer has been drafted taking into account impartiality and non-discrimination based on gender, race, ideology, or any other reason, in accordance with applicable equality regulations.