Data Scientist - ML & Customer Analytics; Hybrid

Position: Growth Data Scientist - ML & Customer Analytics (Hybrid)
Location: Town of Italy

## GROWTH DATA SCIENTISTApplyremote type:
Hybrid/Partially Remote locations:
Italy - Milanotime type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
July 31, 2026 (30+ days left to apply) job requisition :
JR019987

Take a step forward and let Edenred surprise you.

Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world.

We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment.
** Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.
** Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.

We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.
** 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, Tensor Flow, or similar)
* Hands on experience with Azure Databricks (including Workflows and Job Orchestration) and familiarity with the Azure ecosystem:
Azure Machine Learning, Azure Dev Ops, 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 practical experience using 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
** Apply now and Vibe with Us!*
* #J-18808-Ljbffr