This is Worldline.

With 20,000 employees and a physical presence in over 50 countries, Worldline is the fourth largest player worldwide and the only European player with an international footprint to rival international payments peers based in the US, providing the full payment ecosystem.

Worldline offers payment services, ranging from online payments, omnichannel solutions and a broad portfolio of payment terminals to one million merchants and 1,200 banks and financial institutions.

Objective

• Leverage statistical techniques and machine learning algorithms to analyze large datasets, extract insights, and develop predictive models.
• Collaborate with stakeholders, communicate findings through visualizations and reports, and continuously explore new methodologies to drive data-driven decision-making and innovation.

Activity

• Collect, clean, and analyze large datasets using statistical techniques and machine learning algorithms.
• Identify patterns, trends, and insights within the data to extract meaningful information. This involves exploratory data analysis, hypothesis testing, and developing predictive models.

• Develop and implement machine learning algorithms and artificial intelligence models to solve complex business problems.
• Design and train models using various techniques such as supervised and unsupervised learning, natural language processing, deep learning, and reinforcement learning.

• Preprocess and transform raw data into suitable formats for analysis. This includes feature selection, dimensionality reduction, data normalization, and handling missing values.
• Collaborate with data engineers to ensure efficient data pipelines and data quality.

• Create visualizations and reports.
• Present complex data in a clear and understandable manner.
• Work closely with business stakeholders to identify key insights and help drive data-driven decision-making.

• Conduct research to enhance existing models, discover new algorithms, and improve data science techniques within the organization.
• Contribute to open-source projects and participate in industry conferences and communities.

Who Are We Looking For

• Ability to manipulate and analyse large and complex data sets coming from internal and external sources
• Data-driven and outcome-focused; able to tell stories using data
• Takes personal ownership; self-starter; ability to drive projects
• Result oriented and diligent
• Learns continuously; seeks out knowledge, ideas and feedback
• Good communication skills for interacting effectively with both business and technical development teams
• Good knowledge of BI systems and an ability to take feed-back with users and coordinate with them for improving the layout and functionalities of your system
• Master of Sciences degree in a quantitative field (Statistics, Data Science, Quantitative marketing, Econometrics, Quantitative finance or similar)
• Very good knowledge of data manipulation and analysis using SQL BI systems or python.
• Excellent understanding of relational model for database management and data modelling principles (conceptual/logical data models)
• Good knowledge of either R, Python, SAS or similar statistical software
• Knowledge of either JavaScript is a plus
• Good command of English required; fluency in French beneficial

Perks & Benefits

• Hybrid Working Policy
• Gift vouchers on the occasion of Christmas/Easter Holidays
• Private medical services
• 21 vacation days/year
• Referral bonuses for new hires recommended by you
• WFH & Flexible Working Hours
• Full access to the “Learning” platform