Consultant in Data Science

TL;DR

Consultant in Data Science (Machine Learning/AI): Deliver data science and digital transformation projects for clients, building predictive decision-making models and supporting constraint optimization and simulation work with a focus on supervised/unsupervised learning, econometrics, and large-scale data processing. Focus on translating analytical approaches into client outcomes while contributing to offer development and business initiatives.

Location: Boulevard de Waterloolaan 16, Brussels, Belgium

Company

hirify.global is a next-generation, global management consulting group focused on transformation, with data science capabilities.

What you will do

• Execute client transformation assignments in modelling and digital transformation environments (business/IT analysis and partial coding).
• Develop predictive models using supervised and unsupervised learning, econometrics, forecasting, and quantitative diagnosis.
• Support operational research work, including design and implementation of constraint optimization solutions and simulation models.
• Apply algorithmic knowledge for large and unstructured data processing (Big Data).
• Contribute to internal offer development by interpreting data science innovation and challenges.
• Support business development by contributing to need definition and participating in commercial initiatives.

Requirements

• Master’s degree (Civil Engineer) in applied mathematics, IT, or a related field.
• 0–3 years of experience as a consultant.
• Trilingual proficiency in French, Dutch, and English.
• Strong analytical mindset with ability to synthesize options into conclusions.
• Strong interest in data and AI-related topics, with ability to quickly build expertise and help clients capture opportunities.
• Prepared to participate in temporary assignments abroad.

Culture & Benefits

• International consulting environment with emphasis on diversity, inclusion, and employee well-being.
• Friendly and professional working atmosphere where innovation and entrepreneurship are encouraged.
• Personal development plan with regular follow-up and training opportunities.
• Competitive salary with benefits such as mobility budget, hospital insurance, and performance-related bonus.

Hiring process

• Interviews to assess consulting fit, analytical skills, and data science interest.
• Discussion of experience level and availability for temporary assignments abroad.