Hello. We’re Teya.
Teya was founded on a simple belief: local businesses deserve better.
They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.
Teya exists to change that.
We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.
We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.
If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you
Your Mission
We’re looking for a Data Scientist to work across the business at Teya, using data and models to
improve business outcomes. This is a broad role: you can expect to get involved in solving
business problems across many domains, applying your data science toolkit wherever it can
create the most value – whether that’s understanding merchant churn, predicting lead
conversion, forecasting transaction volumes, estimating price elasticity, or modelling credit risk.
You will work on modelling initiatives across the full model lifecycle, from data exploration and
feature development through to model deployment and performance monitoring. You will use
your strong quantitative background to ensure models are developed in a statistically sound way. Collaborating with senior data scientists and stakeholders across Product, Commercial teams,
Finance, Engineering and Data Engineering, you will ensure models are well-understood and
deliver real business value.
This is an excellent opportunity for someone early in their career who has hands-on predictive
modelling experience and wants to broaden their expertise across a wide range of business
domains within a fast-growing fintech.
Responsibilities
• Problem solving: Support the translation of business problems into analytical and
modelling tasks, contributing ideas and exploring alternative approaches.
• Model development: Develop and enhance predictive models across domains such as
churn, lead conversion and volume forecasting, under guidance from senior team
members.
• Model deployment: Collaborate with Data Engineering and Engineering to assist the
deployment of models onto the ML Platform and integration into production systems.
• Model monitoring: Help monitor model performance, investigate performance changes
or drift, and contribute to model improvements over time.
• Data exploration: Explore internal and external data sources, engineer features, and
assess their predictive value across a range of modelling problems.
• Collaboration: Work closely with Product, Engineering, Data Engineering and
commercial teams to ensure modelling work supports operational and commercial goals.
Requirements
• Hands-on experience of predictive modelling applied to real commercial problems,
ideally in a fintech / scale-up etc.
• Degree in a quantitative field such as Mathematics, Statistics, Engineering or related
discipline
• Strong applied quantitative skills, including use of machine learning techniques
• Proficiency in Python and SQL, with experience working with real-world datasets
• Ability to explain analytical work clearly to both technical and non-technical stakeholders
• Curious, pragmatic, and commercially minded, with a desire to understand how models
drive business outcomes
The Perks
• We trust you, so we offer flexible working hours, as long as it suits both you and your
team.
• Physical and mental health support through our partnership with GymPass, giving free
access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness
and nutrition apps.
• Our company offers extended and improved maternity and paternity leave choices,
giving employees more flexibility and support.
• Cycle-to-Work Scheme.
• Health and Life Insurance.
• Pension Scheme.
• 25 days of Annual Leave (plus Bank Holidays).
• Office snacks every day.
• Friendly, comfortable, and informal office environment in Central Londo
Teya is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.
If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.
Skills Required
- Hands-on predictive modelling experience applied to commercial problems
- Experience in fintech or scale-up environments
- Degree in Mathematics, Statistics, Engineering, or related quantitative discipline
- Strong applied quantitative skills including machine learning techniques
- Proficiency in Python
- Proficiency in SQL with experience working with real-world datasets
- Ability to explain analytical work clearly to technical and non-technical stakeholders
- Curious, pragmatic, and commercially minded mindset
Teya Compensation & Benefits Highlights
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Healthcare Strength — Employer-backed private medical coverage (e.g., Bupa in the UK) and life insurance are explicitly listed for some roles, with wellbeing platforms like Wellhub/Gympass appearing in certain markets. Feedback suggests this provides solid healthcare support where offered.
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Leave & Time Off Breadth — Generous annual leave is repeatedly described at around 25 days plus paid holidays, alongside hybrid work and flexible hours that support time away. Feedback suggests time-off provisions are a consistent strength in core locations.
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Equity Value & Accessibility — A company-wide stock option plan (USSOP) is described as available from day one, giving employees the chance to be owners. Feedback suggests this broad equity access enhances perceived total rewards.
Teya Insights
What We Do
At Teya, we believe small, local businesses are the heartbeat of every community. Teya was founded to help small, local businesses thrive. We exist to make business smoother, simpler, and more rewarding for the people who keep our communities alive. That means exceptional support, intuitive solutions, and a team truly invested in our Members’ success. To us, they’re more than customers – they’re part of a community built on trust and shared ambition. That’s why we proudly say: “Member since.” It’s our way of honouring every relationship and building a stronger, more connected future together.
Why Work With Us
We’re a fast-growing European fintech helping small, local businesses thrive. We value simplicity, teamwork, and impact. At Teya, you’ll join a diverse, passionate team where ideas matter, growth is encouraged, and every action helps real people and communities succeed, every single day.
Teya Offices
OnSite Workspace
We believe great ideas happen when people come together. Our hybrid approach gives you the flexibility to work from home, but we encourage spending at least three days a week in the office to collaborate, connect, and keep our culture strong.
