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Student assistant project: Applying business analytics by integrating machine learning in Python with optimization in AIMMS

Posted 26 Mar 2024
Work experience
0 to 5 years
Full-time / part-time
Part-time
Degree level
Required language
English (Fluent)

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As a Student Assistant at ORTEC you will be part of a unique organization and team!

At the Center of Excellence Optimization team, we provide support to ORTEC Consulting on how customers’ optimization challenges can be approached, modelled and solved. We therefore investigate the suitability of different methods and tools for our common optimization challenges and stay up to date with recent developments.

This assignment revolves around a recent development within AIMMS (a commonly used analytics platform for optimization-based applications). This development supports the integration of Python scripts within AIMMS and is expected to help create end-to-end integrated applications that combine advance analytics and machine learning with modeling and optimization.

The main part of this assignment will include identifying existing business cases that can make use of this integration within ORTEC Consulting.

Expected business cases will be in the fields of supply-chain, aviation or marketing analytics. In these areas we often make use of machine learning models to predict values that are input for our mathematical models. This part of the assignment will therefore include talking to the different departments within ORTEC Consulting to gather business cases and identify commercial opportunities.

One of these cases should then be implemented in close cooperation with AIMMS, with the aim of further identifying the business needs for this integration, inventing new features by finding gaps in functionality, and suggesting improvements for ease-of-use.

If you are interested, we would like to receive your resume, motivation and grade list. You can send your application to recruitment@ortec.com. If you want to know more about the possibilities or need more information, then please contact Gordon Boon (Recruiter).

Who you are

  • You are a student in the masters phase of your course in the area of Econometrics, (Business) Mathematics, Computer Science, Business Informatics, Industrial Engineering, Information Science or comparable
  • You have an affinity with business analytics, machine learning and optimization
  • You are familiar with Python and AIMMS
  • You have passing knowledge of UX design and know your way around a debugger
  • Able to fluently communicate in English (verbally and in writing).
  • You are available for at least 16 hours per week during the academic year 2019/2020

What we offer

  • Entrance to the most passionate powerhouse in applied mathematics
  • Join our movement and improve the world
  • Enjoy an open, kind and fun culture
  • Active employee association for fun activities with colleagues and content driven Young ORTEC for you to join
  • Football table, our own bar the “ORtap”, Christmas party, annual barbecue at one of our founders’ home, and much more
  • Good allowance and a laptop
  • Activities with all students at ORTEC, like Friday afternoon drinks

What to expect

We help you to thrive in your field of expertise. We operate a flat organizational structure that keeps communication lines short. The atmosphere is open, informal, cooperative and positive. We employ over 900 people in the Netherlands (HQ), Belgium, Germany, France, the U.K., Romania, Italy, the U.S., Australia, Brazil, Poland and Denmark.

Visit our website www.ortec.com to learn more about our solutions and clients’ experiences.

Acquisition as a result of this vacancy is not appreciated.

We are ORTEC, a purpose-driven organization changing businesses and society at large through the power of data-driven mathematical optimization. We make businesses more efficient, more predictable and more effective. Turning complex challenges into easy-to-use solutions.
We serve clients in almost every industry. And with 17 offices strategically located across 4 continents, we can deliver solutions on a global scale. Always underpinned by local know-how and service.

IT
Zoetermeer
Active in 13 countries
1,000 employees
70% men - 30% women
Average age is 35 years

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