TL;DR

Senior Consultant (Insurance, Data Analytics): Leading the design and implementation of advanced statistical models and machine learning solutions for clients in the insurance industry, with an accent on credit risk, fraud detection, and customer intelligence. Focus on analyzing large datasets to extract actionable insights and managing analytical projects from scoping to execution.

Location: This role offers the flexibility to work from either our Düsseldorf or Frankfurt office within a hybrid working model.

Company

%hirify_global% is a global data and technology company, powering opportunities for people and businesses around the world by redefining lending practices, preventing fraud, and simplifying healthcare.

What you will do

Lead design and implementation of advanced statistical models and machine learning solutions for complex client challenges.
Analyze large, diverse datasets to extract actionable insights in credit risk, fraud analytics, and customer behavior.
Work with large-scale credit data, ensuring data integrity, cleaning, and transformation for analysis.
Collaborate closely with cross-functional teams to integrate analytics into client solutions.
Drive pre-sales activities, assess client needs, and develop tailored solution concepts.
Manage and deliver analytical projects from scoping through execution, ensuring high quality and client satisfaction.

Requirements

University degree in mathematics, statistics, computer science, data science, or a related field.
Several years of hands-on experience in data science, analytics, or consulting, ideally with a focus on credit risk, fraud analytics, or marketing analytics.
Proven expertise in statistical modeling, machine learning, and data mining; proficiency with Python, Pyspark or equivalent.
Profound knowledge of requirements and analytical use cases in the insurance industry.
Fluency in German and English.

Nice to have

Experience with cloud-based data and analytics platforms and data visualization tools.

Culture & Benefits

Focus on DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, and volunteering.
Award-winning "people first" approach, recognized as World's Best Workplaces™ 2024.
Commitment to innovation and diversity.
Equal Opportunity and Affirmative Action employer.