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For Companies At a Glance
- Tasks: Lead AI-powered projects and collaborate with a talented team of experts.
- Company: Top consulting firm known for innovation and excellence in AI solutions.
- Benefits: Flexible working arrangements, competitive salary, and comprehensive benefits package.
- Why this job: Shape the future of AI while making a real impact on client success.
- Qualifications: Experience in data science, proficiency in Python and SQL, and cloud knowledge.
- Other info: Join a dynamic team with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading consulting firm is seeking a Data Scientist-Manager to work within their Data & AI Consulting team. This role involves collaborating with AI Engineers, Product Designers, and Data Scientists to launch AI-powered client solutions.
Responsibilities include:
- Designing data-science approaches
- Monitoring model performance
- Embedding responsible AI practices
Candidates should have experience in the data-science lifecycle, proficiency in Python and SQL, and familiarity with cloud environments. This full-time position offers a flexible working arrangement and robust benefits.
Hybrid Data Scientist & Manager — AI Product Leader in London employer: PwC UK
Contact Detail:
PwC UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist & Manager — AI Product Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI. This is your chance to demonstrate your proficiency in Python and SQL, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as collaboration with AI Engineers and Product Designers will be key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace Hybrid Data Scientist & Manager — AI Product Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your proficiency in Python, SQL, and any relevant cloud environments to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Hybrid Data Scientist & Manager role. Share specific examples of your past work in data science and how you've collaborated with teams to deliver AI solutions.
Showcase Your Projects: If you've worked on any interesting data science projects, don’t hesitate to mention them! We love seeing real-world applications of your skills, especially those that demonstrate responsible AI practices.
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 in our Data & AI Consulting team!
How to prepare for a job interview at PwC UK
✨Know Your Data Science Lifecycle
Make sure you can confidently discuss each stage of the data science lifecycle. Be prepared to share examples from your past experiences where you've successfully navigated these stages, especially in relation to AI-powered solutions.
✨Showcase Your Technical Skills
Brush up on your Python and SQL skills before the interview. You might be asked to solve a problem or explain how you would approach a specific data challenge, so having practical examples ready will help demonstrate your proficiency.
✨Understand Responsible AI Practices
Familiarise yourself with responsible AI practices and be ready to discuss how you would implement them in your work. This shows that you’re not just technically skilled but also aware of the ethical implications of AI.
✨Collaborative Mindset
Since this role involves working closely with AI Engineers and Product Designers, be prepared to talk about your experience in collaborative environments. Share specific instances where teamwork led to successful project outcomes, highlighting your communication skills.
