At a Glance
- Tasks: Build and optimise GenAI applications in the exciting fintech sector.
- Company: Join Burns Sheehan, a leader in innovative fintech solutions.
- Benefits: Earn up to £110K plus bonuses with a flexible hybrid work model.
- Other info: Great opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in AI while working on cutting-edge technology.
- Qualifications: Experience with LLM applications and strong Python skills required.
The predicted salary is between 88000 - 110000 € per year.
Burns Sheehan is seeking a Senior Data Scientist in London to work in the fintech sector, focusing on GenAI projects. The role involves:
- Building core logic for GenAI agents
- Prototyping applications
- Optimising AI interactions for production
Ideal candidates should have:
- Hands-on experience in LLM-powered applications
- Strong Python skills
- The ability to evaluate machine learning models
The salary is up to £110K plus bonuses, with a hybrid working model.
Senior GenAI Data Scientist - FinTech LLMs in Production in London employer: Burns Sheehan
Burns Sheehan is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London’s fintech scene. With competitive salaries up to £110K plus bonuses, a hybrid working model, and ample opportunities for professional growth, employees are empowered to thrive while contributing to cutting-edge GenAI projects that shape the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior GenAI Data Scientist - FinTech LLMs in Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and GenAI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM-powered projects. This is your chance to demonstrate your hands-on experience and Python prowess.
✨Tip Number 3
Prepare for those interviews! Brush up on your machine learning model evaluation techniques and be ready to discuss how you optimise AI interactions in production.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged, so make sure to submit your application directly with us.
We think you need these skills to ace Senior GenAI Data Scientist - FinTech LLMs in Production in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM-powered applications and Python skills. We want to see how your background aligns with the fintech sector and the specific projects we’re working on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about GenAI and how your skills can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any cool GenAI projects or prototypes, don’t hold back! Include links or descriptions in your application to give us a taste of what you can do.
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’re considered for the role without any hiccups!
How to prepare for a job interview at Burns Sheehan
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI and LLMs. Be ready to discuss specific projects you've worked on, especially those involving core logic for GenAI agents. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to building applications. Practise coding challenges related to data science to keep your skills sharp.
✨Prepare for Model Evaluation Questions
Expect questions about how you evaluate machine learning models. Be ready to explain your methodology, the metrics you use, and any tools or libraries you prefer. This will highlight your analytical skills and understanding of model performance in a production environment.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends and challenges in the fintech sector. Being able to discuss how GenAI can impact financial services will demonstrate your industry knowledge and enthusiasm for the role. It’s all about showing that you’re not just a tech whiz but also understand the business context.
