Consultant in Data Science at Sia Partners - Canada

Brussels, Brussels-Capital, Belgium -

Full Time

Start Date

Immediate

Expiry Date

24 Sep, 26

Salary

0.0

Posted On

26 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Statistics, Predictive Modeling, Operational Research, Constraint Optimization, Simulation Models, Big Data, Business Analysis, IT Analysis, Coding, Econometrics, Forecasting, Quantitative Diagnosis, Data Processing

Industry

Business Consulting and Services

Description

Company Description 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. Job Description 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,... Qualifications 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 Analytical mind, exploring options and able to synthesize into conclusions 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. Dynamic, result oriented, rigorous and committed Trilingual: French, Dutch and English Prepared to participate in temporary assignments abroad Additional Information 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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Execute transformation projects involving predictive modeling, AI, and big data processing to support client decision-making. Contribute to internal business development and the reinforcement of the company's data science offerings.