GROWTH DATA SCIENTIST

ppEdenred is a global leader in the employee benefits sector, offering companies digital solutions dedicated to improve the well‑being of people at work. /p pA 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. /p pEdenred’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 labour market and the local economy. /p pTrue 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. /p pEdenred’s 12,000 employees are dedicated every day to making the world of work a more connected, safer, more efficient, and more responsible ecosystem. /p pIn 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. /p pEdenred 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. /p h3YOU WILL VIBE WITH US /h3 pWe are looking for a bGrowth Data Scientist /b with proven experience in developing Advanced Analytics and Machine Learning solutions to support business processes, particularly in the areas of Sales and Customer Management. /p pThe 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. /p pThis 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. /p h3Key Responsibilities: /h3 ulliDesign, develop, and deploy Machine Learning and Advanced Analytics models /liliBuild predictive models (e.g., churn, cross‑sell, up‑sell, propensity models, etc.) and develop the related features and datasets /liliTranslate models into operational outputs (customer lists, scores, targeting logics) to support commercial processes /liliCollaborate with business stakeholders to understand requirements and translate them into data‑driven solutions /liliMonitor model performance and business impact, contributing to a test‑and‑learn approach /liliPresent insights, results, and strategic recommendations to management /liliWork closely with Data Engineering and IT teams to ensure data quality, governance, and availability /liliContribute to the evolution of the company’s data‑driven strategy /li /ul h3WE WILL VIBE WITH YOU /h3 pPassion 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, /p ulliMinimum 3–5 years of experience in Data Scientist roles, preferably within Sales or Customer Analytics /liliStrong knowledge of Python, PySpark, SQL, and major Machine Learning libraries (e.g., scikit‑learn, XGBoost, TensorFlow, or similar) /liliHands‑on experience with Azure Databricks (including Workflows and Job Orchestration) and familiarity with the Azure ecosystem: Azure Machine Learning, Azure DevOps, Azure Data Factory /liliPractical experience in developing predictive models with end‑to‑end project ownership (e.g., propensity, churn, segmentation) /liliAbility to work with complex and/or incomplete datasets /liliGood understanding of data architectures and ETL/ELT pipelines for data preparation and transformation /li /ul pSoft Skills Qualifications /p ulliStrong interest in applying analytical models to real business contexts (particularly Sales and Marketing, though not exclusively) /liliExcellent stakeholder management and communication skills, including interaction with senior management /liliStrong storytelling and presentation skills for both technical and non‑technical audiences /liliAbility to interpret data strategically and with a results‑oriented mindset /liliAbility to translate models and analyses into actionable business outputs /li /ul pNice to Have /p ulliExperience with Data Visualization tools (Power BI or similar) /liliExperience in CRM and campaign management environments /liliFamiliarity with dbt, Airflow, and development environments such us VS Code /li /ul h3OTHER DETAILS /h3 ulliPermanent Contract /liliGross Annual Salary (RAL) starting from € 38.000, determined on the basis of objective and transparent criteria, including professional experience gained, specialized technical skills, the level of autonomy and responsibility required, and alignment with the company’s compensation and job classification framework /liliPerformance bonus in line with the company’s incentive plan /liliComprehensive health benefits, including supplementary medical insurance, accident protection and life coverage /li /ul h3EQUAL OPPORTUNITIES AND HIRING PROCESS /h3 pEdenred fosters an inclusive workplace grounded in equal opportunity, with recruitment and career development processes based on fairness, transparency, and merit. /p pCandidates are assessed without discrimination on the basis of gender, age, ethnicity, social background, nationality, sexual orientation, personal or religious beliefs, disability, or any other legally protected characteristic. /p /p #J-18808-Ljbffr