Data Scientist

Teya; United States; On-site; USD 120,000 - 155,000; Full time

Benefits offered by this job

Flexible hours

GymPass access

Parental leave options

Cycle-to-Work

Health and Life Insurance

Pension Scheme

25 days annual leave

Office snacks

Central London office environment

Job summary

Teya is building a financial platform for local businesses, seeking a Data Scientist to leverage data science to improve business outcomes across multiple domains. You will work on model lifecycle from exploration to deployment, collaborating with cross-functional partners to deliver measurable value.

The role offers exposure to merchant churn, lead conversion, forecast of transaction volumes, price elasticity, and credit risk modelling within a fast-growing fintech environment.

Qualifications

• Hands-on predictive modelling applied to real business problems (fintech preferred).
• Strong Python and SQL skills with real-world datasets.

Responsibilities

• Translate business problems into analytical tasks and models.
• Develop, deploy and monitor predictive models across domains.
• Collaborate with Product, Commercial, Finance, Engineering and Data Eng teams.

Skills

Predictive modelling

Python

SQL

Quantitative analysis

Stakeholder communication

Education

Degree in Mathematics/Statistics/Engineering

Tools

None

Job description

Hello. Were 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.

Were 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, wed love to hear from you

Your Mission

Were 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 thats 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
• Model development: Develop and enhance predictive models across domains such as
• Model deployment: Collaborate with Data Engineering and Engineering to assist the
• Model monitoring: Help monitor model performance, investigate performance changes
• Data exploration: Explore internal and external data sources, engineer features, and
• Collaboration: Work closely with Product, Engineering, Data Engineering and

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

The Perks

• We trust you, so we offer flexible working hours, as long as it suits both you and your
• Physical and mental health support through our partnership with GymPass, giving free
• Our company offers extended and improved maternity and paternity leave choices,
• 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.