Medior ML engineer / Data Scientist

people at the heart of everything we do

Working at Randstad is unlike working at any organization. Because at Randstad we put people at the heart of everything we do. This goes for our clients, our talent, our employees and society. We combine our passion for people with the power of today's technologies. This helps us support people and organizations in realizing their true potential. Learn more about our mission, history and values on our website:

how you will contribute

As a Machine Learning Engineer / Data Scientist you will create brand new insights into the global world of work. We use the latest ML and AI techniques to deliver highly accurate models for supporting a variety of business applications and processes, including market demand, talent supply, career patterns, salaries and rates, and pricing.

The focus in this role will be working on our global taxonomy program, that is supporting our systems landscape worldwide. In this program we are creating and maintaining information on all kinds of vital elementary data concepts, such as jobs, occupations, skills, certificates, education and more. We are using the latest ML technology and LLMs to create our models, and present the results via ML pipelines with a balanced set of microservices.

You will be a part of an international and agile team of highly skilled specialists, including data scientists, ML engineers, data engineers, and data analysts. We have a major research background and are publishing some of our greatest work in academic papers.

You will work closely with other colleagues within the Randstad ecosystem, especially in the various global projects. The impact of your work depends not only on the quality of your products, but especially on your ability to communicate the value and proof of concept of your models and analyses.

what you will be doing

building Machine Learning (ML) models: preparing data from a wide variety of internal and external data sources; creating and evaluating ML models, primarily in the NLP domain, based a.o. on open source LLMs and GenAI;

building ML pipelines that automate the training and deployment of models

defining and appropriating work to the product backlog

training and coaching junior team members

collaborating within the data science community within the Randstad ecosystem, on sharing best practices, harmonizing ML models, and grow collective data science skills

who will you work with

Our global data science team helps our customers make better hiring decisions and helps talent advance in their career paths. We help people find work by creating new insights into the dynamics of the global labor market and integrate those insights into customer- and talent-focused data products. We build and deploy machine learning models and tell stories with those insights. As an example - we create clarity where there are gaps in diversity, what a talent's next job might be, how market conditions should influence a hiring strategy, where we predict demand will go, and much more.

what you will bring

Masters degree in Computer science / Data Science, or related technical studies (M.Sc. or equivalent experience)

min. 2 to 3 years work experience as a ML engineer or data scientist with strong engineering skills

machine learning (ML) platform: excellent working knowledge of analytical, AI and ML stacks on cloud platforms, preferably on Google Cloud Platform (incl. BigQuery, AI & ML stack) or comparable platforms

coding: high proficiency in Python (incl. relevant libraries and packages) and SQL

ML engineering: experience with the creation of ML pipelines and ML Ops related techniques

ML modeling: relevant experience with NLP, LLMs, and working with the set of tools needed to build models on large and complex datasets (preferably in applied and research setting)

what's in it for you

We put people at the heart of everything we do. Our employment conditions reflect this;

competitive salary

an additional flexible benefit budget

attractive bonus scheme

option to take part in Randstad's success through our employee Share Purchase Plan

option to go on a sabbatical leave or buy extra holidays

flexible working hours in the office or hybrid

attractive mobility arrangements

opportunity to give back to local communities through paid volunteering leave

a generous budget to set up your home office space and a net internet allowance

growth and development opportunities in a fast changing global environment

working with great people and being part of a network where everyone wants you to succeed

an environment where differences are understood, valued and celebrated

We want our teams and talent to reflect the rich diversity of the societies we serve. We thrive for an environment of belonging, safety and confidence. So everyone can bring their whole selves to work and flourish. Learn more about equity, diversity, inclusion and belonging at randstad here.

If you recognize yourself in the profile above, we invite you to apply for this role.

For more information you can reach out to our recruitment business partner Jenny Roberts .

The recruitment procedure consists of a screening and at least two interviews. Later in the process, an (online) assessment and a job offer conversation take place