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- Tasks: Develop LLM-driven models and solve real-world engineering problems.
- Company: Fast-growing FinTech startup redefining the AI landscape.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a team innovating in generative AI and make a real impact.
- Qualifications: 2+ years in Data Science with strong Python skills and LLM experience.
- Other info: Dynamic environment with cutting-edge technology and excellent career prospects.
The predicted salary is between 60000 - 80000 £ per year.
A fast-growing FinTech startup redefining the agentic AI landscape, building fully greenfield products from the ground up.
As a Data Scientist, you’ll:
- Develop and apply LLM-driven and statistical models to solve real-world engineering and design problems
- Design and optimise RAG pipelines, embeddings, and semantic search systems
- Analyse large-scale datasets to extract insights and improve model performance
- Run experiments, evaluate model outputs, and iterate using robust metrics and validation techniques
- Collaborate with engineers to productionise models and integrate them into user-facing workflows
- Contribute to the development of intelligent systems that augment engineering decision-making
Data & ML: Embeddings, vector databases (Pinecone, Weaviate), experiment tracking
Infrastructure: AWS, Docker, GitHub Actions
Architecture: Event-driven pipelines
What We’re Looking For:
- 2+ years of experience in Data Science, Machine Learning, or Applied AI
- Hands-on experience with LLMs, either in production or through strong personal projects
- Experience with RAG, embeddings, or semantic search
- Strong Python skills and experience working with data pipelines
Data Scientist in London employer: Tiro Partners Limited
Contact Detail:
Tiro Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and data science. Use GitHub to share your code and document your thought process. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with embeddings and semantic search. Practice explaining complex concepts in simple terms – it shows you can communicate effectively, which is key in any role.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Scientists. Tailor your application to highlight your experience with generative AI and data pipelines. Let’s get you on board to help us redefine the agentic AI landscape!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs, Python, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how you can contribute to our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data science projects, especially involving embeddings or semantic search, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Tiro Partners Limited
✨Know Your Models
Make sure you’re well-versed in LLMs and generative AI. Be ready to discuss your hands-on experience with these technologies, whether from previous jobs or personal projects. Prepare to explain how you've applied these models to solve real-world problems.
✨Showcase Your Python Skills
Since strong Python skills are a must, brush up on your coding abilities. Be prepared to tackle coding challenges during the interview. Practise writing clean, efficient code and be ready to discuss your approach to building data pipelines.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends in FinTech and how agentic AI fits into that picture. Being able to discuss industry challenges and opportunities will show your passion and understanding of the field, making you a more attractive candidate.
✨Prepare for Collaboration Questions
As collaboration is key in this role, think about past experiences where you worked with engineers or cross-functional teams. Be ready to share specific examples of how you contributed to projects and how you handled any challenges that arose.