Data Scientist - Berlin, Deutschland - Multitude

Multitude

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Multitude is a fully regulated growth platform for financial technology. Its ambition is to become the most valued financial ecosystem. This vision is backed by +15 years of solid track record in building and scaling financial technology.

Through its full European banking license, profound know-how in technology, regulation, cross-selling, and funding, Multitude enables a range of sustainable banking and financial services to grow and scale.

Currently, it has three independent business units on this growth platform: Ferratum as a consumer lender, CapitalBox as a business lender, and SweepBank as a shopping and financing app.

Multitude and its independent units employ over 700 people in 19 countries, and they together generated EUR 230 million turnover in 2020.

Multitude was founded in 2005 in Finland and is listed in the Prime Standard segment of the Frankfurt Stock Exchange under the symbol 'FRU.

'

Responsibilities:

Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to provide meaningful insights.
Employ machine learning and statistical methods to optimise product development, marketing techniques, credit scoring, collections optimization, and other business strategies.
Design and track performance of A/B tests providing datadriven insights.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Produce relevant documentation related to model performance.

About you:

Degree in data science, statistics, mathematics, econometrics or a similar field
Experience using programming languages (R, Python, SQL, etc.) to manipulate data, develop models and draw insights.
Knowledge of a variety of machine learning techniques, understanding of different algorithms and their realworld advantages/drawbacks.
Ability to use different data visualization practices to provide datadriven insights.
Excellent written and verbal English communication skills
Experience working on machine learning projects related to marketing, credit scoring or collections is an advantage.

We Offer: