Data Scientist
Added 16 Oct · still live
Possible
Sponsorship likelihood
This job is eligible only on a shortage list
Not disclosed
Salary
Not disclosed by employer
£41,700
Going rate
Skilled Worker going rate
This role may qualify for a Skilled Worker visa
SOC 3544 is an eligible occupation, but we are only 54% sure that is the right code. Teya is a licensed sponsor, so if the code fits, the role should qualify. Check the occupation eligibility rules against what the job actually involves.
We pick the code from the advert's text, so it is our best guess, not the employer's. Each code it could be has its own likelihood:
- Possible 3544 (Data analysts) · 54% match
- Possible 2433 (Actuaries, economists and statisticians) · 39% match
Your salary route
New graduate or PhD holder? Pick one of the lower rates.
What each route needs for this job
| Occupation code | New entrant 70% of going rate | STEM PhD 80% of going rate | Relevant PhD 90% of going rate | Standard rate 100% of going rate |
|---|---|---|---|---|
3544 Data analysts Most likely code | £33,400 | £41,700 | £41,700 | £41,700 |
2433 Actuaries, economists and statisticians Also possible | £38,600 | £44,100 | £49,600 | £55,100 |
We use the lowest threshold across the plausible codes. Likelihood is Possible at most when the pay clears only a lower rate, or only under a less likely code. How the Home Office picks the code
About the role
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
Data Scientist
Your Mission
We're looking for a Data Scientist to join the Credit & Analytics team at Teya and help build the models that underpin our lending products. You will support the development of the credit risk and pricing models that help us make better decisions for the small businesses we serve across multiple geographies.
You will work across the model lifecycle, from data exploration and feature development through to deployment and performance monitoring. Working alongside senior data scientists, you will learn how to develop models in a statistically sound way and see first-hand how they shape credit decisions, pricing and portfolio performance.
You will collaborate with Credit Strategy, Analytics, Product, Engineering and Data Engineering, building your understanding of how data science creates real business value. From day one, your work will contribute to live products used by our Members.
This is an excellent opportunity for someone at the start of their data science career, with a strong quantitative background and a genuine interest in credit and lending, who wants to learn fast in a high-growth fintech.
Responsibilities
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
Data Scientist
Your Mission
We're looking for a Data Scientist to join the Credit & Analytics team at Teya and help build the models that underpin our lending products. You will support the development of the credit risk and pricing models that help us make better decisions for the small businesses we serve across multiple geographies.
You will work across the model lifecycle, from data exploration and feature development through to deployment and performance monitoring. Working alongside senior data scientists, you will learn how to develop models in a statistically sound way and see first-hand how they shape credit decisions, pricing and portfolio performance.
You will collaborate with Credit Strategy, Analytics, Product, Engineering and Data Engineering, building your understanding of how data science creates real business value. From day one, your work will contribute to live products used by our Members.
This is an excellent opportunity for someone at the start of their data science career, with a strong quantitative background and a genuine interest in credit and lending, who wants to learn fast in a high-growth fintech.
Responsibilities
Advertisement
- Model development: Build and test components of credit risk and pricing models, under guidance from senior team members.
- Data exploration: Explore internal and external data sources, clean and prepare real-world datasets, and engineer features that could improve our models.
- Analysis: Carry out analysis of merchant behaviour, repayment performance and product performance to answer well-defined business questions.
- Model monitoring: Help track model performance, flag changes or drift, and support investigations into what is driving them.
- Model deployment: Support Data Engineering with deploying models onto the ML Platform and integrating them into the credit decisioning system.
- Documentation: Document your work clearly so models and analysis are easy to understand, review and build on.
- Collaboration: Work closely with Product, Engineering, Data Engineering and Credit Strategy, and actively seek feedback from senior data scientists to develop your technical and commercial skills.
- 0–2 years' experience in data science, quantitative analysis or a related field.
- Degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or a related discipline.
- Solid grounding in statistics and an understanding of core machine learning techniques.
- Working knowledge of Python and SQL, with experience handling and analysing 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.
- Eagerness to learn, take on feedback and grow within a collaborative team.
- Exposure to credit risk modelling or financial services is a plus.
- We trust you, so we offer flexible working hours, as long as it suits both you and your team.
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.
This description is the source posting as it read when we added it. We are not affiliated with Teya, so check their own site for the current details.
Where this offer sits in the market
Data analysts (SOC 3544) · UK · ONS ASHE 2025 · basic pay · ~80k in sampleSOC 3544
- Middle half £32,292–48,568
- Median £38,948
- Going rate £41,700
- Threshold £41,700
- New entrant £33,400–37,530
Similar sponsored roles
See all UK visa jobsNo close matches live right now.
Browse more sponsored jobs at TeyaAbout sponsorship for this role
Does this job guarantee visa sponsorship?
Not necessarily. Teya holds a sponsor licence, but sponsorship for a specific hire is always the employer's decision. Be upfront in your application that you'll require it.
What salary is needed for this role to be eligible?
The offer must clear both the general threshold and the SOC 3544 going rate of £41,700. New-entrant and shortage discounts can lower it.