Loyalty Data Scientist (ES)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Develop and deploy machine learning models that personalize traveler engagement and improve loyalty performance using Traveler360 data. Own end-to-end data science delivery—from problem definition and feature engineering through deployment and business activation—partnering with Loyalty, CRM, Digital, and Data teams. Translate insights into targeted CRM campaigns, run experimentation (A/B testing), and collaborate with Data Engineering and Platform teams to build scalable pipelines and always-on decisioning.

Location: Madrid, Milan

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and deploy machine learning models for personalization, segmentation, churn prediction, recommendations, and customer lifetime value modeling.
•Build scalable, reusable analytics and AI assets for loyalty, CRM, digital, and commercial use cases.
•Translate analytical insights into targeted CRM campaigns, lifecycle journeys, and digital personalization strategies.
•Lead experimentation initiatives, including A/B testing, to optimize engagement, retention, conversion, and ROI.
•Own the full data science lifecycle and collaborate with Data Engineering and Platform teams to deploy production-grade solutions and always-on decisioning.

Key Requirements

•6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
•Proven ability to deliver and scale machine learning solutions in production environments.
•Experience in customer analytics, loyalty, CRM, or digital personalization in consumer-focused industries.
•Advanced proficiency in Python and SQL.
•Experience with modern data platforms such as Snowflake and Databricks (or similar), plus familiarity with experimentation and A/B testing.

Experience:6-10 yearsCustomer analyticsLoyaltyCRMDigital personalizationConsumer-focused industries

Skills:Stakeholder managementCommunicationSelf-drivenHands-onInfluencing technical and non-technical audiences

Tech Stack:PythonSQLSnowflakeDatabricksMachine learningA/B testingRecommendation enginesPredictive modelingClusteringFeature engineeringData pipelines

Company Brief

Avolta

Provides electrification and energy solutions including modular power systems, temporary and permanent electrical infrastructure, and related services to industrial, event, and commercial customers aiming to deliver reliable, flexible power deployment worldwide.

Industry: Energy Services

Website

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Avolta

11 hours ago

Loyalty Data Scientist (ES)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Madrid, Milan

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop and deploy machine learning models for personalization, segmentation, churn prediction, recommendations, and customer lifetime value modeling.
•Build scalable, reusable analytics and AI assets for loyalty, CRM, digital, and commercial use cases.
•Translate analytical insights into targeted CRM campaigns, lifecycle journeys, and digital personalization strategies.
•Lead experimentation initiatives, including A/B testing, to optimize engagement, retention, conversion, and ROI.
•Own the full data science lifecycle and collaborate with Data Engineering and Platform teams to deploy production-grade solutions and always-on decisioning.

Key Requirements

•6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.
•Proven ability to deliver and scale machine learning solutions in production environments.
•Experience in customer analytics, loyalty, CRM, or digital personalization in consumer-focused industries.
•Advanced proficiency in Python and SQL.
•Experience with modern data platforms such as Snowflake and Databricks (or similar), plus familiarity with experimentation and A/B testing.

Experience:6-10 yearsCustomer analyticsLoyaltyCRMDigital personalizationConsumer-focused industries

Skills:Stakeholder managementCommunicationSelf-drivenHands-onInfluencing technical and non-technical audiences

Tech Stack:PythonSQLSnowflakeDatabricksMachine learningA/B testingRecommendation enginesPredictive modelingClusteringFeature engineeringData pipelines

Company Brief

Avolta

Industry: Energy Services

Website