We are looking for an outstanding Senior Data Scientist to join the team and revolutionize how investment is done. Youll be harnessing the power of machine learning models and advanced mathematical techniques to develop the first-ever real-time, no-code corporate credit score platform.
You Will:
Research of state of the art generative AI models as well as classical machine learning models.
Define data collection plan and requirements
Build models from POC to production-ready
Work closely with ML engineering team driving production release and performance monitoring
Provide guidance to the product team and user community to increase product effectiveness
You Will:
Research of state of the art generative AI models as well as classical machine learning models.
Define data collection plan and requirements
Build models from POC to production-ready
Work closely with ML engineering team driving production release and performance monitoring
Provide guidance to the product team and user community to increase product effectiveness
Requirements:
MSc/Ph.D. in Computer Science, Statistics, Physics, Mathematics, Econometrics, or equivalent
Minimum 4-5 years of experience as a data scientist
Experience in Time Series Analysis and Large Language Models (LLM), including prompt engineering
Proficiency in Python
Solid understanding of NLP techniques, including document classification, entity recognition, and sentiment analysis.
Extensive background in statistical analysis
Profound analytical skills and true love for data
A multitasking team player with the ability to work independently
Background in the financial industry as well as credit assessments – an advantage
Experience in writing SQL scripts and queries – an advantage
MSc/Ph.D. in Computer Science, Statistics, Physics, Mathematics, Econometrics, or equivalent
Minimum 4-5 years of experience as a data scientist
Experience in Time Series Analysis and Large Language Models (LLM), including prompt engineering
Proficiency in Python
Solid understanding of NLP techniques, including document classification, entity recognition, and sentiment analysis.
Extensive background in statistical analysis
Profound analytical skills and true love for data
A multitasking team player with the ability to work independently
Background in the financial industry as well as credit assessments – an advantage
Experience in writing SQL scripts and queries – an advantage
This position is open to all candidates.
