Data Scientist

LoanTube
London
1 year ago
Applications closed

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Who we are

LoanTube is a leading London-based FinTech and FCA Authorised Broker (FRN #753151), empowering individuals and businesses in the UK to access the right credit products to lead their best financial lives.


Our platform is seamlessly integrated into the UK lending ecosystem, delivering real-time, personalised credit offers tailored to users’ unique needs. Since pioneering transparent loan comparison in 2019, we now process over 100k credit applications every month from individuals and businesses alike.


Financial empowerment is at the heart of our mission – to make credit accessible and work for everyone, while maximising financial literacy.


In 2025, we’re doubling down on our commitment to drive financial inclusion for millions of consumers and small businesses left behind by legacy credit providers. We are doing this by further expanding our suite of seamless fintech products that deliver true financial innovation to those who need it most.


Our culture and values

We are a diverse, globally distributed team of innovators and engineers (spanning India, Brazil, the USA, and beyond) working in an incredibly fast-paced, agile environment. Relentless optimism, grit, and adaptability define our culture. If you thrive on challenges and want to help redefine lending, we’d love to hear from you.


At LoanTube, we believe it’s always day one. We’re proudly bootstrapped and self-sustaining, and we’re bringing our scrappy, all-hands-on-deck ethos into the next phase of our explosive growth.


Our culture is built for self-starters who love solving real-world problems. Every role is product-focused, self-motivated, and business-minded. If you’re not a fan of meetings, enjoy taking ownership, and dream of running a business someday, LoanTube is the place for you.


What makes us tick:

  • Extreme Ownership: We set a strategic roadmap as a team and empower individuals to lead. Your project > your process > your responsibility.
  • Collaborative Alignment: Weekly catch-ups ensure every key area of the business stays connected. No one operates in silos; we run the business together.
  • No Bureaucracy: Forget 1:1s and performance plans. Need to discuss something? Just wheel across the room :)
  • Win Together, Lose Together: Everyone here is an entrepreneur at heart. We focus on solutions, not blame, and move forward as a team to build products that truly serve our customers.
  • Learn by Doing: We love to tinker and figure things out. “I’ve never done this before” is a default Tuesday in the office.


If this sounds like the environment for you, keep reading!


The role

At LoanTube, we process vast amounts of data (1,000+ data points per application). Historically, we’ve adopted an 80/20 approach to leveraging this data across marketing and product. As our dedicated Data Scientist, your mission will be to transform this into a strategic advantage by driving our data efforts to the next level.


Sitting at the heart of the core team, you’ll gain a deep understanding of our business to uncover opportunities where advanced modelling can create the most value. From there, you will own the end-to-end lifecycle of model development – from opportunity sizing to deployment and monitoring – to deliver measurable business impact.


What you’ll do

  • Collaborate with colleagues across business domains to identify opportunities to generate value.
  • Build statistical/ML models that deliver tangible business results at scale.
  • Design and execute experiments/analysis to estimate the impact of potential projects.
  • Develop and maintain key metrics and reports for your initiatives.
  • Collaborate with the engineering team to constantly upgrade our data infrastructure.


Who you are

  • At least a Bachelor’s degree in a quantitative field (e.g., Math, Stats, Physics, or Computer Science) and 2+ years of relevant work experience.
  • Experience creating statistical/ML models to solve business problems (customer segmentation, propensity to buy, credit risk etc). 
  • Proficiency in programming/modeling using Python and advanced querying using SQL.
  • Experience taking models from proofs of concept into production within highly scaled data infrastructure (BigQuery, Databricks, pipelines etc)
  • Business mindset. You’re comfortable linking abstract mathematical concepts to tangible business results.
  • You’re genuinely excited to work with us in the office – five days a week – embracing the energy and collaboration of being together.


Benefits

  • Competitive salary + generous profit-sharing / equity package.
  • 20 paid holidays + a “duvet day” on your birthday + bank holidays.
  • £500 annual Learning and Development budget.
  • 1 week work from anywhere policy.
  • Monthly company team events.
  • Top-tier office environment complemented by a complimentary on-site gym.
  • Prime office location in Hammersmith, with easy access to major Tube lines: Piccadilly, Circle, District, H&C.


Selection process

We’ve been on the other side of the table: companies who waste your time, job offers that don’t materialise, and technical tasks that don’t get reviewed.


So here’s our process:

  1. 30 min intro call with Dima – Growth Lead
  2. 30 min technical screening with Henrique – Product Lead (B2C)
  3. Face-to-Face interview in the office with the Founders and our whole team

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