Consultant in Data Science
At a glance
Mid-level Data Science role at Sia. Antwerp · full-time.
Pay not stated Data Science salary
dataroles summary, based on the employer's posting.
What you'll do
- Build predictive models using machine learning, AI and statistical methods for client decision-making
- Help design and implement constraint-optimization approaches and simulation models
- Apply algorithms to process large, unstructured datasets in transformation projects
- Contribute to internal data science offerings and help shape client needs for commercial work
What you bring
- A university master’s in civil engineering, applied mathematics, IT or a comparable field
- Between zero and three years of consulting experience
- Fluent in French, Dutch and English
Who this fits
This role suits an analytical, collaborative consultant who is keen to build expertise in data and AI and apply it to client projects. You’ll work in a hybrid role based in Antwerp and should be prepared for temporary assignments abroad. A work permit cannot be provided.
From the employer
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.
As a consultant in Data Science, you will be involved in transformation projects at our clients. You will execute project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives:
- Machine learning, AI and statistics: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, quantitative diagnosis,...)
- Operational research : assistance in the design and implementation of constraint optimization solutions and simulation models
- Big Data : Algorithmic knowledge for large and unstructured data processing
You will get the opportunity to actively contribute to Sia’s internal activities:
- Development and reinforcement of our offer, by understanding and interpreting data science innovation and challenges
- Business development, by contributing to need definition and participating in our commercial initiatives
Equipped with the entrepreneurial fibre, you are ready to cooperate in a fast growing company.
In return, you can expect:
- An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.
- A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged
- A personal development plan with a regular follow-up as well training opportunities to develop yourself
- A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...
- University Master Civil Engineer (applied mathematics, IT or similar)
- 0 to 3 years’ experience as a consultant
- Outstanding team player with great interpersonal and communication skills
- Strong interest in data science and related sectors such as Energy and Finance
- You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you’re excited about helping our clients seize the opportunities they offer.
- Analytical mind, exploring options and able to synthesize into conclusions
- Dynamic, result oriented, rigorous and committed
- Trilingual: French, Dutch and English
- Prepared to participate in temporary assignments abroad
We are unable to provide a work permit for this position
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.