Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 16 € gross/hour
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you process customer and market data, analyze it, identify patterns, develop statistical models for price analysis and profit potential, and support analyses using Python and Jupyter Notebooks.
Job Technologies
Your role in the team
- You prepare customer and market data from various sources and analyze it.
- You support data-driven evaluation of company-relevant questions using analytical methods and meaningful visualizations.
- You identify patterns and correlations in large data sets using methods from Data Mining and Statistical Modelling.
- You and your team derive action recommendations and contribute to their implementation.
- You are involved in the design and development of statistical models, for example, to analyze the price sensitivity of private customers and to identify revenue potentials.
- You support the development, further development, and maintenance of Python scripts and Jupyter Notebooks for recurring analyses, as well as their quality assurance (Code Review).
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Our expectations of you
Education
- You are currently enrolled in a degree program with a focus on finance, business mathematics, statistics, or a related field.
Qualifications
- You are interested in issues related to credit business, pricing, market analysis, and data-driven management.
- You have practical experience with programming languages for data analysis, especially Python (e.g., Pandas/Polars, NumPy, or comparable libraries).
- Ideally, you also have basic knowledge of SQL and relational databases as well as version control (e.g., Git).
- You have knowledge of statistical analysis methods, e.g., regressions, exploratory data analysis, or cluster analysis.
- You work data-driven, analytical, proactive, and quality-oriented. You document your results and procedures transparently.
- You enjoy communicating, work reliably in a team, and take pleasure in exchanging ideas with colleagues.
Experience
- Ideally, you have already gained some practical experience - for example through internships, working student positions, or academic projects - in the financial sector, data analysis, or modeling.
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What we offer
- Attractive compensation with an hourly wage of 16 euros at the start.
- Good work-life balance through, for example, flexible working hours and home office, promoting your individual development through comprehensive onboarding as well as opportunities for further advancement.
- Modernly equipped workplaces in our centrally located office near the Berliner Straße subway station, corporate health promotion, e.g., company doctor, flu vaccinations, consulting services.
- Regular company events and sports activities, e.g., summer party and Christmas party, table tennis, yoga, and company run, etc., creative and collaboration floor SKPhub including fruit basket and beverage selection.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
S-Kreditpartner GmbH
Wir sind der Kreditspezialist der Sparkassen. Als zentraler Verbundpartner wollen wir die Marktposition der Sparkassen im Bereich Auto- und Konsumentenkredite nachhaltig stärken. Rund 290 Sparkassen und mehr als 1.000 Händler der Auto- und Freizeitfahrzeugbranche vertrauen gemeinsam mit ihren Kunden auf unsere Leistungen.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Student trainee in Data Science - Conditional Design
- Salary
- from 16 € gross/hour
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
