Data Scientist & Engineering Consultant: ML & Risk

Future Impact; Amsterdam; On-site; EUR 42,000 - 60,000; Full time

Benefits offered by this job

Bonus based on personal contribution

Job summary

Milliman Amsterdam is looking for a junior Data Scientist & Engineering Consultant to help clients make the most of their data. You’ll work on projects from anomaly detection to data pipelines, often in a hands-on Milliman team, with opportunities to advise clients directly.

You’ll work under supervision of a senior colleague on data science, data engineering and risk management projects, requiring self-motivation and the ability to collaborate in a small team.

Qualifications

• Master's degree in Computer Science, Information Technology or similar, preferably with a focus on machine learning.
• 0 to 4 years of experience
• Energetic, intelligent and self-motivated
• Entrepreneurial, able to maintain and develop client working relations
• Effective communication skills; excellent verbal and written communication skills
• Excellent basic programming (e.g. R/Python/SQL/C#) and modelling skills (e.g. Neural Networks, boosted trees, regression) and eager to develop these skills. Experience with Azure and/or PySpark is considered a plus.
• Good comprehension of the English language as well as Dutch

Responsibilities

• Assist clients in leveraging data for predictive modeling and NLP projects.
• Develop and improve data pipelines and data quality processes.
• Collaborate with Milliman teams on risk management projects.
• Occasionally advise clients directly and work under supervision of a senior colleague

Skills

Programming: R/Python/SQL/C#

ML algorithms

Data engineering

Communication skills

Dutch language

Education

Master's degree in Computer Science/IT

Tools

Azure

PySpark

Job description

Milliman Amsterdam is looking for a junior Data Scientist & Engineering Consultant to help clients make the most of their data. You’ll work on projects from anomaly detection to data pipelines, often in a hands-on Milliman team, with opportunities to advise clients directly.

You’ll work under supervision of a senior colleague on data science, data engineering and risk management projects, requiring self-motivation and the ability to collaborate in a small team.