Data Scientist

Teya; Greater London; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible working hours

GymPass health support

Extended maternity/paternity leave

Cycle-to-Work

Health and Life Insurance

Pension Scheme

25 days annual leave

Office snacks

Central London office

Job summary

Teya, a London fintech building a financial platform for local businesses, seeks a Data Scientist to tackle problems from merchant churn to price elasticity and forecasting. You’ll work across the business, applying your data science toolkit to create measurable value and broaden your expertise across domains.

You’ll lead model development and deployment, ensure statistical rigor, and partner with Product, Commercial, Finance, Engineering and Data Engineering to deliver real business impact.

Qualifications

• Hands-on predictive modelling applied to business problems.
• Bachelor's or higher in a quantitative field.
• Strong quantitative skills and machine learning experience.

Responsibilities

• Translate business problems into analytical tasks.
• Develop and improve predictive models across domains.
• Deploy models onto the ML Platform and production systems.
• Monitor model performance and drift over time.
• Explore data sources, engineer features, assess predictive value.
• Collaborate with Product, Engineering and Commercial teams.

Skills

Predictive modelling

Python

SQL

Data storytelling

Collaboration

Education

Bachelor's in Mathematics/Statistics/Engineering

Tools

ML Platform

Job description

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.