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- Tasks: Lead the development of innovative AI/ML solutions and design scalable data products.
- Company: A top recruitment firm in the UK with a focus on cutting-edge technology.
- Benefits: Competitive contract salary and opportunities for professional growth.
- Why this job: Make an impact by leading AI projects and shaping the future of data science.
- Qualifications: 5+ years in data science, strong Python and SQL skills, and knowledge of Generative AI.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading recruitment firm in the United Kingdom is seeking a Data Science Manager to lead the development of innovative AI/ML solutions. The ideal candidate will apply data science techniques to generate insights and construct scalable data products. This role requires over 5 years of experience in data science, strong proficiency in Python and SQL, and familiarity with Generative AI frameworks. You will design AI models and work collaboratively with data engineers. The position is offered on a contract basis, targeting professionals at a mid-senior level.
Data Science Manager — AI/ML & Generative Analytics Lead employer: 24 Seven Talent
Contact Detail:
24 Seven Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager — AI/ML & Generative Analytics Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with data engineers and stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Science Manager — AI/ML & Generative Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with AI/ML solutions. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for generative analytics and how your past experiences align with our needs. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any innovative AI models or scalable data products, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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 24 Seven Talent
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied these languages, especially in the context of AI/ML solutions. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Generative AI Knowledge
Familiarise yourself with the latest trends and frameworks in Generative AI. Prepare to discuss how you've used these technologies in past projects or how you envision applying them in this role. This will demonstrate your passion and forward-thinking approach to data science.
✨Collaboration is Key
Since this role involves working closely with data engineers, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked in teams to develop scalable data products, highlighting your communication and leadership skills.
✨Prepare Insightful Questions
Think of thoughtful questions to ask during the interview. Inquire about the company's current AI/ML projects or their vision for the future. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
