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- Tasks: Lead impactful data science projects and drive AI strategy across the organisation.
- Company: Onyx-Conseil, a forward-thinking consultancy in Greater London.
- Benefits: Competitive salary, leadership opportunities, and a focus on responsible AI.
- Other info: Join a dynamic environment with a commitment to innovation and inclusivity.
- Why this job: Shape the future of AI in public services and build an inclusive team.
- Qualifications: Proven experience in managing data science and AI initiatives.
The predicted salary is between 70000 - 90000 £ per year.
Onyx-Conseil is seeking a Lead Data Scientist (Data Science & AI) to spearhead the vision and direction for data science across the organization in Greater London. In this senior leadership role, you will lead high-impact projects, work with operational teams to leverage AI effectively, and build a high-performing inclusive team. You will champion responsible AI usage and address future demand in public services. This role requires experience in managing data science and AI initiatives.
National Lead, Data Science & AI Strategy employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land National Lead, Data Science & AI Strategy
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and AI field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. We recommend practising common interview questions and scenarios that relate to leading data science projects.
✨Tip Number 3
Showcase your leadership experience! Be ready to discuss how you've built and managed high-performing teams in the past. Highlight any successful projects where you championed responsible AI usage.
✨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 National Lead, Data Science & AI Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Lead Data Scientist role. Highlight your leadership in data science projects and any experience with AI initiatives to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your vision for data science and AI at Onyx-Conseil, and explain how your background makes you the perfect fit for leading high-impact projects.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've successfully managed data science initiatives and built inclusive teams in the past.
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 during the process!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Stuff
Make sure you brush up on the latest trends in data science and AI. Familiarise yourself with Onyx-Conseil's projects and how they leverage AI. Being able to discuss specific examples will show your passion and expertise.
✨Show Leadership Skills
As a senior leader, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've built high-performing teams in the past and how you champion inclusivity within your team.
✨Understand Responsible AI
Since this role involves championing responsible AI usage, be ready to discuss ethical considerations in AI. Think about how you would address potential challenges and ensure that AI initiatives align with public service demands.
✨Engage with Operational Teams
Highlight your experience working with operational teams to implement data science solutions. Be prepared to share how you've successfully collaborated across departments to drive impactful projects and improve efficiency.