Data Scientist

Altia; Brussel; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Remote work model

Flexible working hours

Long-term position

Continuous learning

International team

High-impact projects

Inclusive environment

Job summary

Altia in Brussels is seeking a Data Scientist to join international digital transformation initiatives focused on agricultural data governance, ML, and AI compliance. You will develop end-to-end ML solutions and build robust data pipelines in a distributed data environment.

The role requires strong Python/SQL/R skills, experience with Power BI and data quality checks, and the ability to work across policy leads, data providers, and users.

Qualifications

• Minimum 7 years of data analysis or data science experience.
• 2+ years in data management and visualization for agriculture.
• Master's degree or 5+ years higher education in IT-related field.
• English proficiency at least B2.

Responsibilities

• Develop and deploy end-to-end ML models for agricultural data.
• Design experiments including A/B testing and cross-validation.
• Implement data governance, data quality checks and regulatory compliance.
• Build data pipelines with REST APIs, ETL/ELT and data lakes/lakehouses.
• Provide user guidance and support to data users and providers.

Skills

Data science

ML algorithms

Python

SQL

R

Power BI

Data governance

AI compliance

Data quality

Distributed data

Education

Master's degree in a relevant field

Bachelor's degree in IT or related field

Tools

Power BI

MongoDB

Hadoop

SQL Developer

R Studio

Excel

Job description

#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 Data Scientist with solid expertise in agricultural data governance, machine learning, statistical modeling, data quality, and AI compliance to join our team in international digital transformation initiatives supporting data-driven policy design and analytical ecosystems.

The role involves developing, validating, and deploying end-to-end machine learning algorithms, statistical models, and predictive scripts tailored to agricultural datasets. The specialist will design and execute rigorous experimental frameworks (such as A/B testing, cross-validation, and statistical significance testing), as well as build scalable data integration, transformation, and automated validation pipelines. Additionally, the candidate will focus on implementing responsible AI governance frameworks (aligned with transparency, explainability, fairness, and the EU AI Act), model risk management, drift/bias monitoring, data policy enforcement, and user acceptance testing (UAT).

In close collaboration with technical teams, policy leads, data providers, and data users, the specialist will perform data requirement analysis, model documentation (e.g., model cards), API-based data integration, and user support workflows. The position requires strong proficiency in Python, SQL, Power BI, or R, along with practical experience in distributed data architectures (data lakes, lakehouses, NoSQL) and automated data quality checks in the agricultural sector.

WHAT WE HAVE FOR YOU

• Remote work model (far-site delivery with occasional presence in Brussels if required).
• Flexible working hours.
• Long-term stable position with professional growth opportunities.
• Continuous learning and upskilling in cutting-edge AI/ML methodologies, data science, and emerging regulatory frameworks.
• Integration into an experienced, highly skilled, and collaborative international team.
• Participation in high-impact international digital and data governance projects.
• Inclusive and innovation-driven work environment.

REQUIREMENTS

Educational level & Experience:

• EQF Level 7 (Master's degree or 5 years of higher education) + minimum 5 years of general IT experience, OR
• EQF Level 6 (Bachelor's degree or 3 years of higher education) + minimum 7 years of general IT experience.

General & Domain Experience:

• Minimum 7 years of specific experience in data analysis or data science.
• Minimum 2 years of experience in data management and visualization tools applied to the agricultural field.

Languages:

• Minimum B2 level in English (spoken and written).

TECHNICAL & FUNCTIONAL EXPERIENCE:

• End-to-end Machine Learning & Analytics: Development and deployment of ML algorithms, statistical modeling, forecasting, recommendation systems, anomaly detection, and trend analysis.
• Experimental Design & Testing: Experiment design (e.g., A/B testing), cross-validation, statistical significance testing, and User Acceptance Testing (UAT) for data IT solutions.
• Data Lifecycle & Governance: Data collection, ETL/ELT transformation, validation, automated quality checks, data policy enforcement, and publishing workflows.
• Responsible AI & Regulatory Frameworks: AI governance principles (transparency, explainability, fairness, accountability), model risk management, drift and bias monitoring, and EU AI Act compliance (model cards).
• Data Architecture & APIs: Data extraction via REST APIs, database environment comparisons, and storage architectures across SQL, NoSQL, MongoDB, Hadoop, Data Lakes, and Lakehouses.
• User & Stakeholder Support: Creating guidance documents, templates, tools, and supporting helpdesk inquiries for data users and providers.

TECHNOLOGIES & SKILLS:

• Programming & Tools: Python, SQL, R, R Studio, SQL Developer, Excel.
• BI & Visualization: Power BI, interactive dashboards, KPI tracking, and analytical reporting.
• Storage & Querying: Relational databases (SQL), NoSQL, MongoDB, Hadoop, Data Lakes, Lakehouses, distributed stores.
• Data Integration: APIs, ETL/ELT processes, data pipeline execution, and schema validation.
• Soft Skills: Strong problem-framing capabilities, ability to communicate complex model insights clearly, results-oriented mindset, and ability to work autonomously and in multilingual teams.

NICE TO HAVE:

• Working knowledge of French as an additional asset.

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.