Data Science Intern

Full Time
1043 Amsterdam Westpoort
Posted
Job description

Date: 1st December 2021

Topic: Job Description – Data Science Intern





Department:

Operations

Report to:

Head of Data Science

Company profile:

FACTS is a start-up that provides data analysis to European player agents and

represents foreign players that want to make a move to the Dutch national football

competition. With our services we give answers to questions like: which clubs are

interesting for a certain player, what value does a player represent and other data

related football questions. In the first years of its existence, FACTS acquired over 50

partners in most European countries, and lately we are working with clubs for our

services.

Job purpose:

The core of our existence is data. All our services rely heavily on data and the

intelligence that we extract from it. With the data-science department, it is your

job to ensure that the production of our reports and other data insights is 100%

available. Next to this, with the addition of new data sources from suppliers and

new demands from the market our models have to be updated and upgraded.

Moreover, the development of new models that enhance the quality of our product

is, together with the team, part of your job. You are the backbone of our company.

Tasks and Responsibilities:

  • Manage the production of our reports
  • Make sure our current models are up to date with the latest mathematical

and football insights

Address:

FACTS Consultancy

Arlandaweg 92

1043EX Amsterdam

Netherlands

CoC number:

76460339

VAT number:

860630791B01


FACTS CONSULTANCY

  • Design new (econometric) models that contribute to our portfolio of

products

  • Create code that enhances the efficiency and quality control of our

production process

Qualifications:

  • Bachelor's degree in quantitative field
  • Fluent in English
  • Neat and structured work ethic
  • Solution oriented person
  • Experienced with Python, MySQL and Github

What we offer:

  • Fun, dedicated and young team
  • Flexible working hours
  • Room for your ideas and contributions
  • A football environment to develop your data science skills

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