Finmid
via Ashby
Data Science Intern (FT Potential)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 109d ago
The date the source published, not the day we noticed it (2026-05-28). Last seen at its source 3h ago.
Is it remote?
Berlin / Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Berlin
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 39d ago · last seen 3h ago
The listing
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 opportunityWe 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
BenefitsFlexible, 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.