Data Scientist (mwd)

Honda Bank GmbH; Frankfurt; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading financial services company is seeking a Data Scientist for its office in Frankfurt. The role involves building data pipelines, conducting statistical analysis, and developing machine learning models. Ideal candidates will possess strong programming skills in Python or R, along with expertise in SQL and data visualization tools such as Power BI. The position offers a chance to influence data strategies within the organization.

Qualifikationen

• 5+ years of experience in data science or analytics.
• Expert-level SQL skills.
• Strong programming proficiency in Python or R.

Aufgaben

• Design and build data pipelines.
• Conduct statistical analysis to identify trends.
• Develop machine learning models.

Kenntnisse

Data Architecture

Data Engineering

Statistical Analysis

Machine Learning

Data Visualization

Collaboration

Automation

Tools

AWS Glue

Power BI

QlikView

Python

R

SQL Server

Jobbeschreibung

There is only one future ahead of us and that is the one that consists of our dreams provided we have the courage to break with convention. - Soichiro Honda

Our philosophy is based on equality respect and the initiative to implement creative ideas. We want to pass on the joy we get from creating and selling our products to our customers through our financing solutions for new cars and motorcycles. We achieve this through direct and uncomplicated channels via authorised dealers and our strong cooperation partners.

We have been operating in Germany since 1998 as a wholly owned subsidiary of the Honda Group and have had a branch in Barcelona Spain since 2007. We also operate our financial services business with partner banks in 15 European countries.

If you would like to learn about our banking business and help shape it then join our team in Frankfurt (Germany) or Barcelona (Spain).

Tasks

Data Architecture & Engineering

• Collaborate with Data Engineer to design and build scalable production‑grade data pipelines (AWS Glue S3 Athena Redshift).
• Support the transition from legacy DWH to a data lakehouse architecture (bronze silver gold layers).
• Ensure high‑quality well‑documented datasets for analytical consumption.
• Provide analytical input on ETL / ELT design data quality and performance optimization.

Data Analysis and Insights

• Conduct advanced statistical analysis to identify trends patterns and correlations in large datasets.
• Perform exploratory data analysis and hypothesis testing.
• Translate complex analytical findings into actionable business recommendations.
• Develop reports and presentations for technical and non‑technical stakeholders.

Machine Learning and Predictive Analytics

• Design develop and deploy machine learning models for business use cases.
• Implement supervised unsupervised and time series forecasting methods.
• Build and maintain reproducible model pipelines integrated into production environments.
• Monitor model performance and implement continuous improvements.

Data Visualization and Communication

• Create compelling dashboards and self‑service analytics using Power BI QlikView and Python / R visualization libraries.
• Develop executive‑level reporting and analytical dashboards.
• Present analytical findings to leadership and cross‑functional teams.

Collaboration & Strategy

• Work closely with Data Engineer Business Analysts and governance teams to define data and analytics standards.
• Act as a subject‑matter expert on statistical methods predictive analytics and AI integration.
• Participate in data governance metadata management and data quality processes in a multi‑country / multi‑entity data initiatives.

Automation & CI / CD Integration

• Implement automated workflows for data science model testing deployment and monitoring.
• Support DevSecOps goals by integrating ML workflows into CI / CD and IaC pipelines.

Requirements

Required

• 57 years of experience in data science analytics or predictive modelling.
• Expert‑level SQL skills (Microsoft SQL Server query optimization data warehousing).
• Strong programming proficiency in Python (Pandas PySpark scikit‑learn) and / or R (statistical analysis visualization).
• Proven experience developing and deploying machine learning models.
• Knowledge of statistical methods.
• Experience with AWS cloud services (S3 Glue Athena SageMaker Redshift).
• Strong grasp of data lakehouse architectures and hybrid cloud / on‑premise operations.
• Proficiency with data visualization tools (Power BI QlikView).

Desirable

• Experience in financial services or regulated industries.
• Exposure to CI / CD Terraform or similar DevOps tooling.
• AWS Data Analytics or Machine Learning certifications and Billing Services.
• Knowledge of DORA compliance frameworks or EU data regulations.
• Experience with QlikView as data visualization and reporting tool.
• Visual Basic Knowledge combined with MS Access.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Employee

Experience : years

Vacancy : 1

Become part of the Honda family in Frankfurt or Barcelona! We look forward to receiving your application!