Data Scientist

'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).

• Data Architecture & Engineering

o Collaborate with Data Engineer to design and build scalable, production-grade data pipelines (AWS Glue, S3, Athena, Redshift).

o Support the transition from legacy DWH to a data lakehouse architecture (bronze, silver, gold layers).

o Ensure high-quality, well-documented datasets for analytical consumption.

o Provide analytical input on ETL/ELT design, data quality, and performance optimization.

• Data Analysis and Insights

o Conduct advanced statistical analysis to identify trends, patterns, and correlations in large datasets.

o Perform exploratory data analysis and hypothesis testing.

o Translate complex analytical findings into actionable business recommendations.

o Develop reports and presentations for technical and non-technical stakeholders.

• Machine Learning and Predictive Analytics

o Design, develop, and deploy machine learning models for business use cases.

o Implement supervised, unsupervised, and time series forecasting methods.

o Build and maintain reproducible model pipelines integrated into production environments.

o Monitor model performance and implement continuous improvements.

• Data Visualization and Communication

o Create compelling dashboards and self-service analytics using Power BI, QlikView, and Python/R visualization libraries.

o Develop executive-level reporting and analytical dashboards.

o Present analytical findings to leadership and cross-functional teams.

• Collaboration & Strategy

o Work closely with Data Engineer, Business Analysts and governance teams to define data and analytics standards.

o Act as a subject-matter expert on statistical methods, predictive analytics, and AI integration.

o Participate in data governance, metadata management, and data quality processes in a multi-country / multi-entity data initiatives.

• Automation & CI/CD Integration

o Implement automated workflows for data science model testing, deployment, and monitoring.

o Support DevSecOps goals by integrating ML workflows into CI/CD and IaC pipelines.

Required:

o 5–7 years of experience in data science, analytics, or predictive modelling.

o Expert-level SQL skills (Microsoft SQL Server, query optimization, data warehousing).

o Strong programming proficiency in Python (Pandas, PySpark, scikit-learn) and/or R (statistical analysis, visualization).

o Proven experience developing and deploying machine learning models.

o Knowledge of statistical methods

o Experience with AWS cloud services (S3, Glue, Athena, SageMaker, Redshift).

o Strong grasp of data lakehouse architectures and hybrid cloud/on-premise operations.

o Proficiency with data visualization tools (Power BI, QlikView).

Desirable:

o Experience in financial services or regulated industries

o Exposure to CI/CD, Terraform, or similar DevOps tooling

o AWS Data Analytics or Machine Learning certifications and Billing Services.

o Knowledge of DORA compliance frameworks or EU data regulations

o Experience with QlikView as data visualization and reporting tool

o Visual Basic Knowledge combined with MS Access

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