Magnet.me  -  The smart network where students and professionals find their internship or job.

The smart network where students and professionals find their internship or job.

Data Science Lead

Posted 28 Oct 2026
Share:
Work experience
5 to 7 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

Build your career on Magnet.me

Create a profile and receive smart job recommendations based on your liked jobs.

Metyis is growing! We are looking for a Data Science Lead with 5-7 years of experience for a full-time position to join our Data and Analytics team in Amsterdam.

Who we are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.

With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

What we offer

  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
  • Become part of a fast-growing international and diverse team.

What you will do

  • Manage client interactions and play a key role in building and maintaining client relationships.
  • Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes.
  • Provide project management oversight required to meet client expectations.
  • Responsibilities may include the development of presentations and managing of external relationships.
  • Seek compelling opportunities beyond the scope of the current project.
  • Provide guidance to more junior members of the team, while orchestrating the work of the entire team.

What you will bring

  • Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).
  • Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis.
  • Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus.
  • Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.
  • 5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.
  • Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.
  • Professional fluency in English.

At Metyis we share an entrepreneurial mind-set, a compelling passion to create and, more importantly, a firm belief in our partnership-driven business model. This is embedded in our culture and safeguarded as we evolve. Our team counts over 450 ambitious professionals with various backgrounds, spread over several continents. We invite you to find out more about our work, bonding culture and the experiences of our colleagues worldwide.
*Formerly known as YGroup

Management Consulting
Amsterdam
Active in 9 countries
1,000 employees
60% men - 40% women
Average age is 32 years