Data Scientist: Scale AI, Drive Data-Driven Impact

Euroclear

Kraków

On-site

PLN 180,000 - 280,000

Full time

14 days+

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Job summary

Euroclear is seeking a Data Scientist to join the Data & AI division to industrialise analytics and unlock value from data at scale. You will work on ML, NLP and LLM driven use cases, delivering measurable outcomes and partnering with the business to implement scalable AI across core processes.

The role requires hands-on analytics experience, Python proficiency, and strong communication skills to explain complex concepts to diverse audiences.

Qualifications

  • Proven hands-on analytics experience in data science or advanced analytics.
  • Proficient in Python; Scala/Spark knowledge is a plus.
  • Strong SQL/ETL capabilities and data wrangling skills.
  • Deep knowledge of ML, NLP, optimization and large language models.
  • Experience with Power BI for data visualization.
  • Familiar with UNIX and version control with GIT.
  • Knowledge of Hadoop ecosystem (Cloudera distribution a plus).
  • Cloud experience, preferably Azure Cloud; able to deploy in production.
  • Excellent communication to present results to varied audiences.
  • Ability to learn quickly, adapt to changing priorities.

Responsibilities

  • Develop scalable data science solutions across diverse use cases.
  • Collaborate with AI tribe to operationalize models in production.
  • Deliver measurable outcomes and monitor performance and value.
  • Present findings clearly to end users and division management.
  • Stay current with new analytics tools and practices.

Skills

Python
SQL
NLP
Machine Learning
Power BI
UNIX
GIT
Hadoop
Spark
Azure Cloud
Large Language Models
Mathematical optimization
Communication

Education

Master's degree in machine learning / statistics / applied mathematics or related field
PhD valued

Tools

Power BI
Spark
Cloudera Hadoop
Azure Cloud
Git
Unix

Job description

Euroclear is seeking a Data Scientist to join the Data & AI division to industrialise analytics and unlock value from data at scale. You will work on ML, NLP and LLM driven use cases, delivering measurable outcomes and partnering with the business to implement scalable AI across core processes.

The role requires hands-on analytics experience, Python proficiency, and strong communication skills to explain complex concepts to diverse audiences.

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