Data Scientist
9 views
20.05.2025
Data Scientist
Senior, Middle
Data Science and Analytics
Options
3-5 years

Schedule

Full-time

Location

London

Type of Work

Remote

Sphere

Banking
Banks
About Job
Summary

About Fintech Farm

We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

Our success builds upon a best-in-class product, customer experience, emotional engagement, viral marketing, and deep credit decisioning expertise.

One of our founders had previously co-founded a highly successful Eastern European neobank with a multi-million customer base.

We launched our first market with Leobank in Azerbaijan in 2021, where we have already established market-leading positions. Our next market was Vietnam, where we launched Liobank in early 2023 and also gained solid traction.

We have a few more new markets in the pipeline for the next 12 months, and we are starting to build the team there.

Why Fintech Farm is a great place to be

Our ambition. We are looking to become a leading consumer digital bank brand in each market we operate making it easy for consumers to interact with their money. You could be a part of this exciting journey.


Our culture.

Customers. We always go above and beyond to provide an amazing customer experience. We serve our customers the way we would want our mom to be served. And who said that banking has to be boring? We make our apps not just easy but fun to use.

People. We are all business partners in our company. Each of us thinks big, acts as if we own the place, and never takes “No” as an answer. We work with strong individuals whom we empower and trust rather than micromanage. Common sense rather than formal policies prevails in all that we do. We always stay curious and open-minded. We embrace the We over Me culture.

Responsibilities

Responsibilities:

  • Develop and implement risk-scoring models to assess client creditworthiness, including both application and behavioral models.
  • Perform feature engineering processes to enhance the quality and efficiency of predictive models.
  • Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.
  • Collaborate with development teams and business analysts to integrate models into business processes.
  • Monitor and analyze the performance of models in production, and propose and implement improvements.


Requirements
What we Expect

Requirements:

  • 3+ years of experience in Data Science, with proven experience in building scoring models.
  • Deep knowledge and practical experience in machine learning and statistical analysis.
  • Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
  • Skills in feature engineering and model selection for solving specific tasks.
  • Ability to analyze large volumes of data and turn analytical insights into concrete actions.
  • Experience with SQL and databases.
  • Ability to work independently and as part of a team, as well as interact with non-technical colleagues.


Professional Skill
Analytical Skills
Tech Stack
Python
Languages
English | Upper-Intermediate
What we offer
What we Offer

What we are offering

  • Competitive salary negotiable depending on the candidate’s level
  • Share options
  • Unlimited PTOs
  • We are still a start-up and more benefits are on the way


About Company
Fintech Farm
https://www.fintech-farm.com/

About Us

Fintech Farm is a UK-based fintech company that partners with local banks in emerging markets to launch digital banks. The company builds modern, user-friendly mobile apps that offer debit cards, loans, deposits, and other financial services in one platform. Its adaptable white-label solution ensures compliance with local regulations and rapid market entry. Fintech Farm is currently operating in Azerbaijan, Vietnam, Kyrgyzstan, and India, and has recently started work in two new markets. Founded by a team with strong banking and tech expertise, the company’s mission is to bring accessible, high-quality digital banking to millions in developing economies.

Values

🚀 Mission

Make banking services accessible, simple, and fun to use worldwide.

🗻 Goal

Launch neobanks in 50+ markets, serving 100M+ happy customers.

😍 Customer Values

Wow user experience

We go the extra mile to impress our customers. Every detail—from UI to process—should feel effortless and clear. Simplicity is key, and we know that making things simple is hard. That’s why we focus not just on what we build, but also on what we intentionally leave out.

No bankshit

Yes, banking regulations are tough. But we squeeze out simplicity wherever possible—without compromising compliance. We serve customers like we’d serve our own moms—with honesty, clarity, and care.

Making banking fun

Banking doesn’t have to be boring. We use humor, friendly design, and engaging communication to create joyful experiences. Simple, beautiful, and delightful—that’s how digital finance should feel.

👯‍♀️ Team Values

We are all business partners

Everyone gets stock options and has real influence. We think like owners, act with initiative, and respect each other as equals. We’re not afraid to disagree—constructively and openly—with anyone, including management.

Energise, don’t drain

Work should give energy, not take it away. Clear priorities help avoid overload. If someone feels overwhelmed—or underutilized—they speak up. We support balance and mutual responsibility for sustainable performance.

Always curious, always better

We stay hungry for knowledge and open to new ideas. We value learning, diverse viewpoints, and never stop improving ourselves and our products.

We over Me

Teamwork comes first. We help each other, especially newcomers. No political games. No gossip. Just genuine support and respect for teammates, partners, and clients.

Common sense prevails

Forget bureaucracy. We trust logic, practicality, and straight-up good judgment to guide decisions.

Embrace mistakes

Mistakes mean you’re trying. We don’t punish errors made in motion—only inaction and fear slow us down. Progress comes from learning fast, failing smart, and moving forward.