TXT Risk Management focuses on data analysis for the detection of frauds, monay loundry, crime and terrorism financing and other out of law behavious.
We are looking for a highly motivated data scientist or machine learning engineer willing to enter into the project team and to adapt existing and/or to developnew statistical models and algorithms to support newcoming use cases.
This position will be responsible, with the support of the team, to study the peculiarities of the use case, select best algorithms and models, test, optimize and validate them. Developments will be done by usage of R.
Main responsabilities:
Select best algorithms and models for the specific use case;
Perform ETL operations (e.g., data cleaning and pre-processing) for data to be used in the experimentations;
Test, optimize and validate selected algorithms;
Provide evidence of the results in internal and external reports;
Create connections to different data sources and perform data retrieval and data ingestion.
Technical qualifications required:
good knowledge of R;
good knowledge of network graphs and graphs techniques;
good knowledge Machine Learning/AI techniques and algorithms;
expertise in data manipulation, visualisation and modelling.
Goog knowledge of programming skills, Object Oriented Programming and knowledge of SQL is a plus.
Educational required: Education in STEM discipline such as Statistics, Mathematics, Computer Science or Engineering
Complete the profile excellent knowledge of written and spoken English, excellent Team membership, analytical skills, flexibility, curiosity.
Candidati per questo lavoro →
We are looking for a highly motivated data scientist or machine learning engineer willing to enter into the project team and to adapt existing and/or to developnew statistical models and algorithms to support newcoming use cases.
This position will be responsible, with the support of the team, to study the peculiarities of the use case, select best algorithms and models, test, optimize and validate them. Developments will be done by usage of R.
Main responsabilities:
Select best algorithms and models for the specific use case;
Perform ETL operations (e.g., data cleaning and pre-processing) for data to be used in the experimentations;
Test, optimize and validate selected algorithms;
Provide evidence of the results in internal and external reports;
Create connections to different data sources and perform data retrieval and data ingestion.
Technical qualifications required:
good knowledge of R;
good knowledge of network graphs and graphs techniques;
good knowledge Machine Learning/AI techniques and algorithms;
expertise in data manipulation, visualisation and modelling.
Goog knowledge of programming skills, Object Oriented Programming and knowledge of SQL is a plus.
Educational required: Education in STEM discipline such as Statistics, Mathematics, Computer Science or Engineering
Complete the profile excellent knowledge of written and spoken English, excellent Team membership, analytical skills, flexibility, curiosity.
