Working Student

  • acmetric
  • Amsterdam
  • jun 18, 2024
Student Employee Data Science Consulting

Job Description

We are looking for students with a strong academic track record that combine an excellent knowledge of econometrics with good communication skills. You are at ease working in a team and you have the aptitude for quick learning. At acmetric, you'll be able to put into practice advanced econometric concepts acquired during your studies, while you'll also embark on a journey of personal and professional growth. Do you want to do real econometrics in the business world? Then we’re the place for you.


About the position

  • This is a part-time role designed to accommodate your academic commitments, allowing you to contribute between 16 to 20 hours per week.
  • You will learn and apply new techniques and tools in econometrics, statistics, and machine learning to improve decision-making processes.
  • You'll assist the team on a client project, conducting data analysis, econometric, and statistical modeling. Additionally, you'll be involved in the development and implementation of data-driven processes and methodologies.
  • You will help in developing and maintaining large datasets, ensuring data quality and accuracy

 

Qualifications

  • You are a 3rd year Bachelor student or Master student in Econometrics.
  • You have a strong academic track record.
  • You exhibit strong communication, interpersonal, and organizational skills.
  • You are proficient in both written and spoken English for effective collaboration.

 

What we offer

  • An opportunity to engage in cutting-edge econometrics and data science, applying the knowledge and methods you've gained in your studies to meaningful projects.
  • Joining an ambitious startup that is deeply committed to strategy, data, and academic research, creating a dynamic and intellectually stimulating work environment.
  • Opportunities for professional and personal growth, allowing you to expand your skill set and career.
  • An informal and creative work environment that fosters initiative and encourages the exploration of new ideas, contributing to a vibrant and collaborative workspace.
  • A competitive salary.

 

acmetric - who we are

acmetric is a boutique data science consultancy that was founded three years ago by a small group of scientists and industry professionals who shared a passion for the intersection of business and data. Since then, we have grown to a team of 20 professionals who are united by a mindset that values creativity, curiosity, and a drive to innovate.

Our team includes individuals from diverse academic backgrounds, from business to data science. We take pride in our non-hierarchical setup, where every voice is valued and heard. Our startup culture encourages collaboration, and we believe in working together to build the acmetric of tomorrow. We see ourselves as a team of entrepreneurs, all working towards a common goal: to provide our clients with the best possible data-driven solutions.

Our experience in sectors like retail, mobility, and banking/insurance, combined with our expertise in analytics, machine learning, and artificial intelligence, means we turn data into magic. We achieve this by combining strategy, deep methodological understanding, and state-of-the-art tooling. We don't just provide solutions; we train teams throughout organizations so that data becomes a part of our clients' DNA.

At acmetric, we have a strong performance culture. Our ambition is to become the leading data science consultancy in Europe. Our ambitions to grow further mean that there are ample opportunities for career advancement for those who share our values.


We are proud of our diverse nationalities and backgrounds, and whether working from our office in Amsterdam or remotely, we are driven by a shared eagerness to achieve what is needed. Together, we strive to make a difference for our clients and ourselves.


Contact information

Great to hear that you’re interested. If you would like to know more then please send your resume and grade list to:


Petr Pushkar: petr@acmetric.org