Senior Data Scientist - AI/LLMs

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

As an Senior Data Scientist, you will help build and scale AI-powered products that directly improve how our customers interact with our platform and how our teams operate.

You’ll join our AI Research & Development team focused on creating intelligent systems where AI is core to the experience — including customer onboarding and due diligence, risk and fraud monitoring, pricing and customer lifetime value optimisation, customer support automation, and AI-assisted software development .

You’ll work across machine learning, generative AI, data, and software engineering to design, build, and productionise AI solutions that are reliable, scalable, measurable, and impactful. This role requires a strong engineering mindset, the ability to translate business problems into AI solutions, and the curiosity to explore how emerging AI capabilities can create real value.

As a Senior Data Scientist at Teya, you will be expected to:

Design, develop, and deploy AI-powered features and services that solve real customer and business challenges.

Build and integrate AI systems using modern approaches including LLMs, generative AI, machine learning models, retrieval-augmented generation (RAG), agents, and automation workflows .

Work closely with product managers, engineers, data scientists, and domain experts to identify opportunities where AI can improve outcomes.

Develop production-grade AI solutions with strong focus on quality, scalability, observability, security , and responsible AI practices .

Evaluate AI models and solutions through experimentation, benchmarking, and continuous improvement.

Build data pipelines, model integrations, APIs, and services that enable AI capabilities across products.

Improve AI reliability through techniques such as prompt engineering, model evaluation, monitoring, guardrails, and feedback loops.

Contribute to AI engineering standards, best practices, and reusable frameworks across teams.

Stay current with developments in AI and identify opportunities to apply new technologies effectively.

Requirements:

Strong software engineering experience with proficiency in one or more programming languages such as Python and Java

Experience building and deploying production software systems.