Data at Tuza

Who we are

Thanks for investing the time to consider joining Tuza.

‍When joining a company at the early stages of its growth story, there's often more than first meets the eye. This is our opportunity to help you understand why your next role should be with us.

At Tuza, we’ve raised $7 million from leading investors (Northzone, Connect Ventures, and TriplePoint) to build agentic process automation for banks.

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Tuza today...

At Tuza, we’re building technology that fundamentally changes how banks operate. Our platform, TuzaOS, enables banks to deploy agentic workflows that execute complex, regulated processes in a policy-controlled, auditable way.

Since launch, we’ve helped leading UK banks (Worldpay, Barclaycard, and NatWest) to scale faster by serving thousands of customers more efficiently and connecting them with leading distribution partners such as MoneySuperMarket, USwitch, and Money.co.uk.

Tuza tomorrow...

• The Intelligent Operating System for Banks
  
  Our vision is to be the intelligent operating system for banks; a system that doesn’t just automate tasks, but makes and executes decisions across the organisation.
  

• A Unified Data Infrastructure
  
  We will build an open-standard data platform to access Tuza’s knowledge graph, combining behavioural data with live operational data to tell the most accurate story of a business’s life cycle.
  

• Built-In Governance and Explainable Intelligence
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  Tuza’s agentic infrastructure will redefine trust in banking - every automated process will be transparent, auditable, compliant and explainable, allowing banks to move faster in a policy-controlled way.

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Our team

Our data team is task with applying expertise in data science, data analysis, and AI engineering to understand how our users behave. Their models and insights feed into data products as well as into our wider product strategy.

They do things like:

• Build agentic workflows that automate reasoning, data analysis, and decision-making across the business.
• Integrate large language models and retrieval systems into data products to deliver contextual, dynamic insights in real time.
• Play with transaction data to recognise temporal or spatial patterns. 
• Build risk insights by combining onboarding data with in-life behaviour to detect anomalies and automate interventions.
• Design dynamic pricing models that personalise payment pricing based on business usage, risk, and segment.
• Launch product recommendation logic that serves merchants contextual bundles at the right moment in their lifecycle.
• Benchmark provider performance to show which of our partners are outperforming across time to board, churn, and margin.
• Create intelligent and personalised user experiences based on customer context to increase business-product fit and reduce time to conversion.

By the end of your first sprint, you will likely have built at least one data project live in production, in use by some of the UK’s largest banks and thousands of their small business customers.

You’ll have direct exposure to some of the world's largest acquiring banks (Worldpay, Barclaycard, NatWest, Revolut) to test large data sets and iterate on data products to serve small businesses better.  

You’ll report directly to Tuza’s CEO and CTO and work alongside a team of ex-founders and founding employees.

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The tech

Our data stack is modern and evolving. You'll be responsible for shaping and maturing the architecture to fit our stage and scale, as long as it sits within AWS.

Our current data platform includes:

• Python for data modelling and analysis
• Agentic frameworks such as LangChain and LlamaIndex
• Airbyte to load data from external sources
• RDS Postgres for storing product data
• Amazon Redshift as our data warehouse
• DBT for data modelling, transformation, and testing
• Metabase for internal reporting, deep dives, and data exports‍

In case you're interested, our software stack includes React, TypeScript, GraphQL, REST, Express, Relay, Prisma, Redis, Postgres, AWS, Styled Components, and Storybook.

We like to experiment with different technologies and libraries, particularly when building proof of concepts. Make your case, and we’ll consider expanding our tech stack.

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You're a great fit if...

• You have a solid knowledge of data science and AI engineering.
• You work end-to-end and can design, engineer and maintain our data stack.
• You've worked with agentic frameworks (LangChain, LlamaIndex) in the past.
• You’ve had exposure to a previous high-performance environment - this may be another startup backed by tier 1 investors, but it could just as easily be a competitive hobby.
• You know what good engineering practices look like - we need you to work with our engineering team to integrate your insights into our products.
• You find the extensive breadth and ambiguous nature of this role inspiring.

You're a bad fit if...

• You lack genuine interest in data - we want you to be obsessed.
• You’re unopinionated on what you work on - we want you to care.
• You’re not interested in the commercial context or wider business strategy.
  
  

Our ways of working

At Tuza, we've founded our working principles with influences from Basecamp’s product development framework, Shape Up, Matt Lerner's Growth Levers and How to Find Them, and Melissa Perri's Escaping The Build Trap.

The crux is that we like to focus on the ‘why’. Why are we building this product, or feature, and what outcome are we hoping for? We value focusing on our customers, output over input, and experiment more than we optimise.

We outline how we work in more detail here. This isn't static: we're constantly aiming to improve based on team feedback.

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What's in it for you

• A competitive salary with generous equity.
• A hybrid working approach. We're based out of our Shoreditch office, with Monday and Thursday as core collaboration days. The remaining days are focus days - based wherever you work best.
• Flexible working hours. Most people arrive between 8 and 10, and leave between 6 and 7.
• Unlimited holiday with a minimum of 24 days.
• MacBook Pro, monitor, mouse and keyboard.
• £350 a year towards taking a break.
• £350 a year towards learning, development or a hobby.
• Team offsites around the world (2025 took us to Morocco and Switzerland).
• Smart and kind teammates - leave your ego at the door.
• The occasional sound bath...

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Our application process

Our aim is to get candidates through the application process from start to finish within 2 weeks of applying, in order to strike the balance of being respectful towards your time, whilst helping us maintain our high expectations.

‍Apply

We love meeting people who care about what they build and why they're building it. Applying takes a few minutes. You know what to do.

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