Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Bachelors, Masters or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.

0-2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data

Programming experience (focus on machine learning): R and/or Python (must), SPSS, SAS, Ruby, Hadoop (valued).

Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

Ability to independently own and drive model development, balancing demands and deadlines.

Demonstrated aptitude for analytics.

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

Strong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levels. Knowledge of French or Dutch is valued.

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields.

Willingness to travel.