Data Science Intern (FT Potential)

Reposted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Berlin, DEU
In-Office or Remote
Internship
Fintech • Payments • Financial Services
The Role
As a Data Analytics Intern, you will analyze data sets for trends, support strategic questions, improve credit risk models, and build dashboards.
Summary Generated by Built In
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.

Skills Required

  • A degree or currently pursuing one in Engineering, Mathematics, Economics, Business, or a related field from a top-tier university
  • 1-2 years of experience in data science, analytics, or a related field
  • Proficiency in SQL and familiarity with either Python or R
  • Experience working with data through internships, academic projects, or similar previous roles
  • Strong analytical thinking and attention to detail
  • Clear communication skills, with ability to present complex data simply
  • Proactive and hands-on approach, ability to work independently
  • Motivation to learn and grow in a fast-paced, evolving environment
Am I A Good Fit?
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The Company
Berlin
74 Employees
Year Founded: 2021

What We Do

finmid is Europe's leading lending infrastructure provider. Built on the latest technology, finmid helps marketplaces and platforms provide tailored financial services to their clients at the right place and time. Founded in 2021 in Berlin, finmid has enabled thousands of businesses – from restaurants to wholesalers – to access capital for growing their businesses through the platforms they use every day.

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