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- Tasks: Develop and deploy innovative AI features to enhance employee well-being.
- Company: Leading UK employee benefits provider focused on AI-driven solutions.
- Benefits: Professional development opportunities and a dynamic work environment.
- Why this job: Make a real impact by building AI-first products that improve lives.
- Qualifications: Extensive data science experience and proficiency in Python required.
- Other info: Fast-paced environment with great career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading employee benefits provider in the UK is looking for a Senior Data Scientist to enhance well-being through AI-driven solutions. This role involves working closely with cross-functional teams to develop and deploy innovative AI features, directly contributing to the company's goal of building AI-first products.
Candidates should have extensive experience in data science, proficiency in Python, and the ability to thrive in fast-paced environments. Professional development opportunities are also available.
Senior Data Scientist - AI-First Solutions Architect in Leatherhead employer: Epassi
Contact Detail:
Epassi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - AI-First Solutions Architect in Leatherhead
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science expertise, especially in AI. This will not only impress but also demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by being ready to discuss real-world applications of your work. Think about how you've used Python to solve problems and be prepared to share specific examples that align with the company's goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Scientist - AI-First Solutions Architect in Leatherhead
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience in data science and any relevant projects you've worked on. We want to see how you've used Python to solve real-world problems, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with our goal of building AI-first products and how you can contribute to enhancing well-being through innovative solutions.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and experiences that make you a great fit for us.
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 this exciting opportunity to join our team!
How to prepare for a job interview at Epassi
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to employee benefits. Be ready to discuss how you've applied AI-driven solutions in your previous roles and how they can enhance well-being.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data science challenges and be ready to explain your thought process.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated with different departments to develop and deploy innovative solutions.
✨Embrace the Fast-Paced Environment
Prepare to discuss how you thrive in fast-paced settings. Think of specific instances where you've had to adapt quickly to changes or manage multiple projects simultaneously, and be ready to share those stories.
