Data & Analytics

Data & Analytics GmbH is looking for a Senior Machine Learning & Data Consultant to support a financial services client in building advanced analytics and data-driven models for customer segmentation, marketing optimization, and sales steering in the investment funds business.

You will work on developing machine learning models, designing analytical pipelines, and translating business requirements into scalable data solutions.

Responsibilities:

• Design and implement machine learning models for customer segmentation and behavioral analysis
• Develop cluster analysis models to segment retail customers and banking partners
• Build and automate Customer Lifetime Value (CLV) and customer value calculation models
• Retrain and optimize existing machine learning models using updated datasets
• Design data processing workflows and automate analytical pipelines using Azure Machine Learning
• Collaborate closely with business stakeholders to translate analytical insights into actionable strategies

• Ensure high-quality model testing, validation, and documentation

   

Requirements:

• Strong experience in Python for data science and machine learning
• Advanced knowledge of Oracle SQL
• Experience with Azure Machine Learning and ML pipelines
• Experience implementing customer segmentation and clustering models
• Solid experience working with Git-based development workflows
• Experience in financial services data or banking analytics is a strong plus
• Strong communication skills and ability to collaborate with business stakeholders

Start: April 2026
Duration: Until December 2026

We are Data&Analytics GmbH Team and we are seeking a Data & Web Analytics Analyst to support analytics initiatives for a financial services client. The role focuses on analyzing digital customer journeys, preparing data for machine learning models, and developing dashboards to support sales and marketing decisions.

Responsibilities:

• Conduct web analytics to analyze website usage and customer journeys
• Work with Mapp Intelligence or similar analytics platforms to analyze user behavior
• Prepare, transform, and integrate data from multiple sources for analytical models
• Support development and validation of machine learning models
• Create Power BI dashboards for sales steering and demographic insights
• Develop automated reporting pipelines and ensure data quality

• Collaborate with data scientists and business stakeholders to translate analytics into insights

   

Requirements:

• Experience with SQL (Oracle preferred) and Python for data analysis
• Hands-on experience with web analytics platforms (preferably Mapp Intelligence)
• Experience building dashboards in Power BI
• Familiarity with machine learning workflows and data preparation
• Experience using Git for version control
• Structured and analytical working style

Start: April 2026
Duration: Until December 2026