NOTICE OF DATA SCIENCE MASTERCLASS POWERED BY CRIF
- Description of the initiative
The DS Masterclass is a highly innovative initiative based on a mix of training sessions in virtual classrooms and learning-by-doing projects.
The aim of the initiative is to hire undergraduates/new graduates creating an experience-based learning environment in which CRIF provides its skills and professionals to final year undergraduates and new graduates with the aim of supporting their growth, thus creating a connection between universities and the world of work.
Students will attend lectures providing them with more information on the CRIF business context, the approach and methodologies applied, and also technical content related to the world of Data Science.
Alongside this teaching program, CRIF wants to provide a stimulating environment for students in which they can put into practice what they have been taught using a learning-by-doing approach. The aim is to consolidate the content learned during the first part of the program and for students to begin to create their own professional identity in Data Science.
CRIF give approximately 20 final-year undergraduates/new graduates from different countries (Bologna - Italy , Barcellona - Spain and Karlsruhe - Germany) the chance to take part in the DS Masterclass program, working alongside industry professionals, in collaboration with the project stakeholders.
At the end of the training path, participants will have the opportunity to be hired and join CRIF Data science team.
The DATA SCIENCE MASTERCLASS program involves a 56-hour classroom-based course and 2 months of project work, during which the undergraduates/postgraduates will work on specific projects, giving them the chance to use innovative technologies.
Classroom lessons will be structured as follows:
- Introduction to Data Science
The session held by our Data Science community professionals is designed to provide a basic introduction to data science community topics. The general aspects of data science will be presented as well as how the theory is put into practice in the day-to-day work at CRIF. Examples will be given of how CRIF Data Scientists apply what the students will later learn on the course to their activities.
- Data Science Training in collaboration with BIP
- ADVANCED ANALYTICS & DATA SCIENCE
An overview of Advanced Analytics and Data Science: hot topics, key definitions, and their level of maturity in the technology market. This will be accompanied by a more practical section, in which the basics of Python programming, which has become the de facto standard language for data scientists, will be learned.
- DATA PREPARATION & EXPLORATION
The most important step in working with data: through practical examples in Python, students will learn how to prepare, explore, and view data to ensure high-quality data models. In addition, data selection and evaluation techniques will be examined to obtain the best datasets for the development of effective and robust models.
Students will learn how to build “good” models in supervised and unsupervised scenarios, ensuring high performance levels and robust results based on specific metrics, before making them available to stakeholders.
- Data Visualization in collaboration with TIL
Introduction to data visualization tools and organization through the development of an initial project based on the analysis and visualization of the real data processed in the models.
Students will then take part in practical projects in which they will actively try out what they have learned in previous modules. In this way, they will benefit from a rich and comprehensive program, not just lectures.
Applications are open from May 12nd, 2021 to May 26th , 2021 and will be assessed according to the order of submission and in relation to the candidate’s profile. Therefore, it is important to apply promptly. Any applications received after the deadline will be assessed by CRIF for possible inclusion, including at a later date for other editions.
Applicants must be final-year undergraduates or have graduated within the last 12 months at the time of the project work in one of the following subjects:
- Information Science and Technology, Mathematics, Physics, Computer Engineering, Computer Science and Engineering, Computer Science, Electronic Engineering, Computer Science for Management, Artificial Intelligence, and Automation Engineering.
Candidates must demonstrate a good knowledge of English, which will be assessed during the interview.
To take part, your curriculum vitae must be sent as at this page
by and no later than Friday, May 26, 2021.
On receipt of the application, each candidate will be contacted directly by CRIF to organize a remote interview with the project contacts.
For more information, you can e-mail
[email protected], specifying CRIF DS MASTERCLASS in the subject line.
- CONFIDENTIALITY AND INTELLECTUAL PROPERTY
The confidentiality rules and regulations for any results produced as part of the programs covered by this Notice shall be governed by specific agreements between students and CRIF.
Participants acknowledge and guarantee that the ownership and intellectual property rights of everything achieved in the execution of the programs covered by this Notice, as well as any developments, implementations, and modifications, belong exclusively to CRIF.
In accordance with the Data Protection Code (Italian Legislative Decree 196/2003 updated by Legislative Decree 101/2018) and Regulation 2016/679 on personal data protection (hereafter “GDPR” or “Regulation”), the personal data of the data subjects who decide to apply will be processed by CRIF S.p.A. and CRIF Group companies as Joint Controllers within the limits of the purposes set out in article 6(1)(b) of the GDPR.
Information on the processing of personal data pursuant to article 13 of the GDPR, in the case of receipt of CVs and personal data voluntarily sent by the data subjects, will be provided by CRIF and CRIF Group companies as Joint Controllers, at the first possible opportunity following the sending of the CV.