Data Science Intern (FT Potential)

finmid; Berlin; Vor Ort; EUR 30.000 - 40.000; Vollzeit

Benefits dieser Stelle

Flexible work culture

Access to WeWork offices

Regular team off-sites

30 vacation days per year

Zusammenfassung

finmid in Berlin is seeking a Data Science Intern to join their Data team. This role offers an exciting opportunity for those early in their careers to learn and build by diving into data, generating insights, and supporting the development of credit risk models.

The ideal candidate should have proficiency in SQL and Python, with a strong analytical mindset. The company promotes a flexible, distributed-first work culture and offers benefits like 30 vacation days per year.

Qualifikationen

• Proficiency in SQL and Python, experience with MLOps tools are a plus.
• Experience working in Data Science through internships or academic projects.
• Strong analytical thinking and attention to detail.

Aufgaben

• Analyze large data sets to uncover trends and actionable insights.
• Write and optimize production SQL against our data warehouse.
• Contribute to the development of credit risk models.

Kenntnisse

SQL

Python

Analytical thinking

Communication skills

Ausbildung

Degree in a quantitative or business-related field

Tools

MLOps tools

Jobbeschreibung

About finmid

finmid's mission is to enable software companies to reimagine how their business customers access capital. By productizing the complexity of financial services, finmid empowers companies to offer financial services where FinTech isn't the mission but enables the mission.

About the opportunity

We are looking for a Data Science Intern to join our Data team. This is an exciting opportunity for someone early in their career who is hungry to learn and build. You’ll work closely with the rest of the team to dive into data to generate insights and help build the systems that drive our business.

Whether you’re coming from a technical background with a strong analytical foundation or a business background with hands‑on data experience, what matters most is your drive, precision, and business curiosity.

In this role, you will

• Support the team in analyzing large data sets to uncover trends, patterns, and actionable insights
• Write and optimize production SQL against our data warehouse to power analyses and model features
• Contribute to the development, improvement, and monitoring of credit risk models used for underwriting and portfolio management
• Build out our MLOps foundations across experiment tracking, pipelines, and internal tooling so that models ship and run reliably
• Present findings and recommendations directly to the team and leadership to inform decisions

What you need to be successful

• A degree (or pursuing one) in a quantitative or business‑related field
• Proficiency in SQL and Python, experience with MLOps tools are a plus
• Experience working in Data Science through internships, academic projects, or similar
• Strong analytical thinking and attention to detail
• Clear communication skills, with the ability to present complex data in a simple and actionable way
• A proactive and hands‑on approach with the ability to work independently
• Motivation to learn and grow in a fast‑paced, evolving environment

Experience of working in startups or in credit risk underwriting is a plus

Benefits

• Flexible, distributed‑first work culture (with a beautiful office in Berlin if you prefer in‑person)
• Access to WeWork offices worldwide
• Regular team off‑sites across the EU
• 30 vacation days per year

We’re looking for people with passion, grit, and integrity. You’re encouraged to apply even if your experience doesn’t precisely match the job description. We welcome diverse perspectives and people who think out of the box and aren’t afraid to challenge assumptions. Join us.