Senior Consultant (mfd)

Experian; Düsseldorf; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading analytics firm in Düsseldorf is seeking an experienced Senior Consultant to join their Customer Analytics team. The role involves designing advanced statistical models and analyzing large datasets for credit risk and customer intelligence. The ideal candidate has a university degree, hands-on experience in data science, and fluency in German and English. This position offers a hybrid working model with opportunities for professional growth and a commitment to diversity and inclusion.

Qualifikationen

• Several years of hands-on experience in data science, analytics, or consulting.
• Proven expertise in statistical modeling, machine learning, and data mining.
• Experience with cloud-based data platforms is an advantage.

Aufgaben

• Lead the design and implementation of advanced statistical models.
• Analyze large datasets to extract actionable insights.
• Collaborate closely with cross-functional teams to integrate analytics.

Kenntnisse

Statistical modeling

Machine learning

Data mining

Python

Pyspark

Data analytics

Client relationships

Fluency in German

Fluency in English

Ausbildung

University degree in mathematics, statistics, computer science, data science or related field

Tools

Cloud-based data platforms

Data visualization tools

Jobbeschreibung

Job description

We are seeking a Senior Consultant (m / f / d) experienced in the insurance industry to join our Customer Analytics team specializing in advanced data-driven solutions for our clients. This role is pivotal in delivering impactful analytics supporting pre‑sales activities and driving innovation in areas like credit risk fraud detection and customer intelligence. The Senior Consultant (m / f / d) will bridge technical expertise with business acumen ensuring our clients gain measurable value from Experians local and regional data products and analytical services. This role offers the flexibility to work from either our Düsseldorf or Frankfurt office within a hybrid working model.

Main Responsibilities

• Lead the design development and implementation of advanced statistical models and machine learning solutions for complex client challenges.
• Analyze large diverse datasets to extract actionable insights supporting business decisions 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 including sales product and marketing to ensure seamless integration of analytics into client solutions.
• Drive pre‑sales activities : assess client needs develop tailored solution concepts and support proof‑of‑concept projects.
• Manage and deliver analytical projects from scoping through execution ensuring high quality timeliness and client satisfaction.
• Maintain and deepen client relationships identifying new business opportunities and supporting business development initiatives.

Qualifications

• 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 one of the insurance industry.
• Experience with cloud‑based data and analytics platforms and data visualization tools is an advantage.
• Fluency in German and English.

Additional Information

Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work / life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award‑winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affymitive Action employer. Innovation is an important part of Experian's DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

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Work Details

Remote Work: No

Employment Type: Full‑time

Department / Functional Area: Analytics

Experience: years

Vacancy: 1