Data Scientist (Internship)
Retail Credit Risk Department
Miejsce pracy: Warszawa
Nr ref.: CEN/TO/34/2018
Come and join our Data Science team. With your help we are ready to run some interesting projects within following areas:
- Development of credit risk models based
- Process mining of credit process
- Using social network analysis (SNA) to generate viable business metrics
Check out who is wanted:
- student with a fine background in majors: Maths, Physics, Technology and Economics or other geeks specialising in the fields: machine learning and deep learning,
- person experienced in machine learning methodology including R (tidyverse, mlr, caret), Python (pandas, numpy, scikit-learn),
- person with great skills in massive data processing including SQL and/or SAS,
- person who will stay open-minded to new technology areas, ready to shake up the traditional analytical process or just seriously enthusiastic about working in science,
- person with basic knowledge in Polish (A2+),
- person with the ability to simplify and visualize analytical findings,
- person available in the office at least 20 h per week.
Scope of „nice to have” background:
- basic knowledge of: C, C++, Java, Scala,
- basic experience within sizeable data base processing in Apache Spark technology,
- experience with libraries: tensorflow, pytorch, xgboost, catboost, nltk,
- analytical portfolio (Github, Gitlab),
- evidenced participation in analytical competitions, such as Kaggle.
Scope of profits:
- for a good first impression - minimum 3 month order contract including rewarding hourly rate (for an extended good impression – chance to get a full-time job, when the practice ends),
- wide access to Big Data including practical use of: Hadoop, Spark, Python, R,
- working time in line with your study timetable,
- multi-task Data Science team support with an experienced science mentor,
- technical and soft skill courses.
pko, bank, bp