Gather and analyse business requirements, identifying suitable AI, data mining, machine learning, and BI solutions
Design application mock-ups and user interfaces aligned with business needs and UX best practices
Analyse large datasets to extract actionable insights and ensure data quality, integrity, and compliance with GDPR and AI regulations
Develop data models, define data rules and controls, and implement anomaly detection systems
Contribute to the design and implementation of analytics architecture
Perform data processing, cleansing, validation, and advanced data mining
Support IT architecture design for NLP/ML/AI solutions
Conduct business and data analysis
Lead user acceptance testing and ensure alignment with business requirements
Produce documentation and collaborate with stakeholders across teams

Requirements

Bachelor’s degree (minimum 3 years)
Strong knowledge of NLP lifecycle, machine learning, and data analytics on large/complex datasets
Proficiency in Python, R, PERL, SQL, NoSQL (e.g. MongoDB, Hadoop)
Experience with data modelling, BPMN/UML, and analysis tools
Knowledge of software development methodologies (Agile, RUP)
Understanding of scalable data architectures and information systems
Fluent in English (C1) and French (B1+)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonRPERLSQLNoSQLdata miningmachine learningdata modellingBPMNUML

Soft Skills

business analysiscollaborationdocumentationuser acceptance testingstakeholder engagement

Certifications

Bachelor's degree