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- Tasks: Enhance well-being through AI-driven solutions and develop innovative features.
- Company: Leading employee benefits provider in the UK with a focus on AI-first products.
- Benefits: Hybrid/remote work, professional development opportunities, and a supportive team environment.
- Why this job: Make a real impact on well-being using cutting-edge AI technology.
- 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 seeking a Senior Data Scientist to enhance well-being through AI-driven solutions. This role allows you to work closely with cross-functional teams to develop and deploy innovative AI features, contributing directly to the company's goal of building AI-first products.
Ideal candidates will have:
- Extensive experience in data science
- Proficiency in Python
- The ability to work in a fast-paced environment
Opportunities for professional development are also provided.
Senior Data Scientist - AI-First, Hybrid/Remote 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, Hybrid/Remote 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 for technical questions and case studies. Brush up on your Python skills and be prepared to discuss how you've tackled challenges in fast-paced environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist - AI-First, Hybrid/Remote in Leatherhead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science and proficiency in Python. We want to see how your skills can contribute to our AI-first products, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Senior Data Scientist role. Mention specific projects or experiences that align with our goal of enhancing well-being through AI-driven solutions.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, especially in a fast-paced environment like ours.
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!
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 your experience with AI-driven solutions can enhance well-being and contribute to the company's goals.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a problem or explain a project where you used Python effectively. Have examples ready that highlight your coding skills and how they relate to data science.
✨Cross-Functional Collaboration is Key
Since this role involves working closely with cross-functional teams, think of examples from your past experiences where you successfully collaborated with others. Be prepared to discuss how you communicate complex data insights to non-technical stakeholders.
✨Embrace the Fast-Paced Environment
The company values agility, so be ready to share how you've thrived in fast-paced settings before. Discuss any strategies you use to manage multiple projects or tight deadlines, showcasing your ability to adapt and deliver results under pressure.
