Data Scientist

• Building perspective credit models;
• Developing and implementing automated risk scorecards;
• Developing and implementing decision models ford credit risk and fraud.

• PhD degree in a quantified field (Math, Computer Science, Statistics, Biostatistics, Engineering, Physics, etc.);
• Knowledge of Kaggle;
• Understanding of design, building and implementing regular and automated scorecard models;
• Ability to Apply AI / machine learning and other techniques to minimise manual intervention;
• Understanding and having real experience with statistical analysis, algorithm development, and advanced machine learning techniques;
• A proven, demonstrable track record of experience solving real problems using data mining;
• Strong technical skills regarding data analysis, statistics and programming;
• Knowledge of one of these technologies ( Python, R, SQL, Java, Scala, Bash);
• Knowing Matlab, SAS;
• Knowing HBase, MapReduce, Hive, Pig, Spark, Splunk;
• Fluent level of english.

Salary: 12000 -15000 PLN (B2B)

Other Benefits:

• Attractive remuneration, trainings and professional career growth;
• Unique experience in Fin-Tech industry, with a leading, fast-growing company, that excels in employing technical advantage in marketing, distribution and risk management of product suite;
• Good atmosphere at work and comfortable working environment;
• Multisport card;
• Private medical care;
• Possibility of partly remote work and flexible working hours.

Employment conditions: B2B contract

When does the job start?: As soon as possible