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- Tasks: Evaluate and optimise AI/ML models to enhance business solutions.
- Company: Leading Financial Services provider in the UK with a focus on innovation.
- Benefits: Competitive contract pay, flexible working arrangements, and professional growth opportunities.
- Why this job: Join a dynamic team and drive impactful data initiatives in the financial sector.
- Qualifications: Strong Python skills and experience with AI frameworks required.
- Other info: Mid-senior level role with a chance to shape AI-driven solutions.
The predicted salary is between 48000 - 72000 £ per year.
A Financial Services provider in the UK is seeking an experienced Data Scientist to support and enhance AI-driven solutions across the business. The role involves evaluating and optimizing AI/ML models, ensuring compliance with regulatory standards, and building internal capabilities. Strong hands-on experience with Python and familiarity with AI frameworks are essential. This mid-senior level contract position offers a unique opportunity to drive impactful data initiatives.
Senior AI/ML Data Scientist – FinServ & LLMs (Contract) employer: Siena Partnership
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Data Scientist – FinServ & LLMs (Contract)
✨Tip Number 1
Network like a pro! Reach out to professionals in the FinServ and AI/ML space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI/ML projects, especially those that demonstrate your experience with Python and compliance with regulatory standards. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you a better chance of landing that dream job. Plus, it’s super easy!
We think you need these skills to ace Senior AI/ML Data Scientist – FinServ & LLMs (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML models and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in Financial Services and how your background makes you the perfect fit for this role. Let us know what excites you about working with us!
Showcase Your Hands-On Experience: We love seeing practical experience! Be sure to mention any specific AI frameworks you've worked with and how you've optimised models in past roles. Real-world examples can make a big difference in your application.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Siena Partnership
✨Know Your AI/ML Models Inside Out
Make sure you can discuss your experience with various AI/ML models in detail. Be prepared to explain how you've evaluated and optimised these models in past roles, especially in the context of financial services.
✨Brush Up on Regulatory Standards
Familiarise yourself with the regulatory standards relevant to the financial services sector. Being able to articulate how you ensure compliance in your work will show that you understand the industry's unique challenges.
✨Showcase Your Python Skills
Since strong hands-on experience with Python is essential, be ready to discuss specific projects where you've used Python for data analysis or model development. If possible, bring examples of your code or projects to demonstrate your expertise.
✨Highlight Your Team Collaboration
This role involves building internal capabilities, so emphasise your experience working in teams. Share examples of how you've collaborated with others to drive impactful data initiatives, showcasing your ability to communicate complex ideas effectively.
