Growth Data Scientist

Edenred; Bardi; Ibrido; EUR 55.000 - 75.000; Tempo pieno

Vantaggi offerti da questo lavoro

Smart-working

Ticket Restaurant

Welfare Plan

Comprehensive health benefits

Supplementary medical insurance

Accident protection

Life coverage

Descrizione del lavoro

Edenred is seeking a Data Scientist to design, develop and deploy advanced analytics and ML solutions for sales and customer management. You will translate data insights into actionable outputs, partnering with stakeholders to embed models into operational processes in a hybrid environment.

You will build predictive models, monitor performance and present strategic recommendations while collaborating with Data Eng and IT to ensure data quality and governance.

Competenze

• 3–5 years in Data Scientist roles, preferably in Sales or Customer Analytics.
• Strong knowledge of Python, PySpark, SQL and major ML libraries.
• Hands-on experience with end-to-end predictive modelling projects.
• Ability to work with complex/incomplete datasets and translate insights into actions.

Mansioni

• Design, develop and deploy ML and advanced analytics models.
• Build predictive models (e.g., churn, cross-sell, propensity) and features/datasets.
• Translate models into operational outputs to support commercial processes.
• Collaborate with business stakeholders to translate requirements into data-driven solutions.
• Monitor model performance and business impact; contribute to test-and-learn.
• Present insights and strategic recommendations to management.
• Coordinate with Data Engineering and IT for data quality, governance and availability.
• Contribute to evolution of the company’s data-driven strategy.

Conoscenze

Python

PySpark

SQL

scikit-learn

XGBoost

TensorFlow

Storytelling

Stakeholder mgmt

Strumenti

Azure Databricks

Azure ML

Azure DevOps

Azure Data Factory

Descrizione del lavoro

In this role you will design, develop and deploy advanced analytics and ML solutions to support sales and customer management. You will translate data insights into actionable outputs, partnering with stakeholders to embed models into operational processes. The role blends model development with practical application in a hybrid environment, contributing to a data-driven strategy and business impact. You will be part of a multinational team that values meritocracy and continuous growth, tackling diverse data challenges at scale.

• Smart-working (10 days/month)
• Ticket Restaurant
• Welfare Plan
• Comprehensive health benefits including supplementary medical insurance, accident protection and life coverage
• Design, develop and deploy ML and advanced analytics models
• Build predictive models (e.g., churn, cross-sell, propensity) and develop features/datasets
• Translate models into operational outputs (lists, scores, targeting logics) to support commercial processes
• Collaborate with business stakeholders to translate requirements into data-driven solutions
• Monitor model performance and business impact; contribute to test-and-learn approach
• Present insights and strategic recommendations to management
• Coordinate with Data Engineering and IT for data quality, governance and availability
• Contribute to evolution of the company’s data-driven strategy
• 3/5 years of experience in Data Scientist roles, preferably in Sales or Customer Analytics
• Strong knowledge of Python, PySpark, SQL and major ML libraries (scikit-learn, XGBoost, TensorFlow or similar)
• Hands on experience with Azure Databricks (Workflows and Job Orchestration) and familiarity with Azure ecosystem (Azure ML, Azure DevOps, Azure Data Factory)
• Practical experience with end-to-end predictive modelling projects (propensity, churn, segmentation)
• Ability to work with complex/incomplete datasets
• Understanding of data architectures and ETL/ELT pipelines for data prep and transformation
• Excellent stakeholder management and communication skills
• Strong storytelling and presentation skills for technical and non-technical audiences
• Ability to translate models and analyses into actionable business outputs
• communication
• storytelling
• Python
• PySpark
• SQL