GROWTH DATA SCIENTIST

WHAT IS EDENRED?

Edenred is a global leader in the employee benefits sector, offering companies digital solutions dedicated to improve the well-being of people at work.

A digital platform that connects 60 million users and over 2 million affiliated businesses in 44 countries through about 1 million corporate clients. In Italy, the ecosystem involves 3 million users, over 180.000 corporate clients and more than 300.000 affiliated establishments, making its network the most widespread, present in every Italian country.

Edenred’s solutions improve quality of life and strengthen employee engagement—from lunch breaks to leisure time, personal care, and sustainable mobility. Meal vouchers, shopping vouchers and corporate welfare tools are tailored to all types of organizations and employees. They support HR departments, make companies more attractive and efficient, and stimulate both the labor market and the local economy.

True to the Group’s purpose “Enrich connections. For good.”, these solutions develop and enrich connections that empower businesses and promote inclusive solutions, placing people, the environment, and local communities at the center through a concrete ESG commitment.

Edenred’s 12,000 employees are dedicated every day to making the world of work a more connected, safer, more efficient, and more responsible ecosystem.

In 2024, thanks to its global technology assets, the Group managed close to €45 billion in business volume, primarily carried out via mobile applications, online platforms and cards.

Edenred is listed on the Euronext Paris stock exchange and included in the following indices: CAC Large 60, Euronext 100, Euronext Tech Leaders, FTSE4Good, DJSI Europe Index, DJSI World Index, and MSCI Europe.

YOU WILL VIBE WITH US

We are looking for a Growth Data Scientist with proven experience in developing Advanced Analytics and Machine Learning solutions to support business processes, particularly in the areas of Sales and Customer Management.

The successful candidate will work closely with business stakeholders, transforming data and insights into concrete actions while contributing to the adoption of models within operational processes.

This role requires a strong combination of technical expertise and business acumen, operating in a hybrid environment that combines model development with their practical application across business functions.

Key Responsibilities:

• Design, develop, and deploy Machine Learning and Advanced Analytics models
• Build predictive models (e.g., churn, cross-sell, up-sell, propensity models, etc.) and develop the related features and datasets
• Translate models into operational outputs (customer lists, scores, targeting logics) to support commercial processes
• Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions
• Monitor model performance and business impact, contributing to a test-and-learn approach
• Present insights, results, and strategic recommendations to management
• Work closely with Data Engineering and IT teams to ensure data quality, governance, and availability
• Contribute to the evolution of the company’s data-driven strategy

WE WILL VIBE WITH YOU

Passion for customer, respect, imagination, simplicity and entrepreneurial spirit are the values we look for in our people. If you recognize yourself and want to get involved in a stimulating and multinational environment, send us your application and become an Edenreder too!

• Minimum 3–5 years of experience in Data Scientist roles, preferably within Sales or Customer Analytics
• Strong knowledge of Python, PySpark, SQL, and major Machine Learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, or similar)
• Hands-on experience with Azure Databricks (including Workflows and Job Orchestration) and familiarity with the Azure ecosystem: Azure Machine Learning, Azure DevOps, Azure Data Factory
• Practical experience in developing predictive models with end-to-end project ownership (e.g., propensity, churn, segmentation)
• Ability to work with complex and/or incomplete datasets
• Good understanding of data architectures and ETL/ELT pipelines for data preparation and transformation
• Degree in a scientific or quantitative discipline
• Fluent English

Soft Skills & Qualifications

• Strong interest in applying analytical models to real business contexts (particularly Sales and Marketing, though not exclusively)
• Excellent stakeholder management and communication skills, including interaction with senior management
• Strong storytelling and presentation skills for both technical and non-technical audiences
• Ability to interpret data strategically and with a results-oriented mindset
• Ability to translate models and analyses into actionable business outputs

Nice to Have

• Experience with Data Visualization tools (Power BI or similar)
• Experience in CRM and campaign management environments
• Familiarity with dbt, Airflow, and development environments such us VS Code

OTHER DETAILS

• 🏡 Smart-working (10 days/month)
• 🍽️ Ticket Restaurant®
• 🛍️ Welfare Plan
• 🩺 Comprehensive health benefits, including supplementary medical insurance, accident protection and life coverage