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- Tasks: Lead and deploy teams to deliver innovative data science and AI solutions.
- Company: Join a forward-thinking company at the forefront of data and AI technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant impact and career advancement.
- Why this job: Shape the future of data and AI while working directly with clients.
- Qualifications: Experience in data science, AI, and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
Data Mathematics, Statistics, Engineering, Chemistry, Physics, Computer Science, Machine Learning.
A commercial background in building and delivering data science and AI solutions end to end.
Ability to lead, teach and deploy teams of engineers, data scientists and AI engineers onsite with end clients.
Strong consulting skills, ability to work directly with end customers on shaping data and AI solutions, overseeing delivery from deployed teams.
Data & AI Lead employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Lead
✨Tip Number 1
Network like a pro! Reach out to professionals in the Data & AI field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in data science and AI. We want to see your problem-solving abilities and how you’ve delivered solutions end to end.
✨Tip Number 3
Prepare for interviews by practising common questions related to data and AI. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who can lead and deploy teams effectively. Your next big opportunity could be just a click away!
We think you need these skills to ace Data & AI Lead
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science and AI solutions. We want to see how you've built and delivered projects from start to finish, so don’t hold back on the details!
Consulting Experience Matters: If you've worked directly with clients, let us know! Share examples of how you've shaped data and AI solutions and overseen delivery. This will show us you’ve got the consulting chops we’re looking for.
Team Leadership is Key: We’re keen on your ability to lead and teach teams. Include any experiences where you’ve managed engineers or data scientists, especially in a client-facing role. It’s all about showcasing your leadership skills!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Omnis Partners
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data mathematics, statistics, and machine learning. Be prepared to discuss specific projects where you've built and delivered data science solutions, as this will show your practical experience and understanding of the field.
✨Showcase Your Leadership Skills
Since the role involves leading teams of engineers and data scientists, be ready to share examples of how you've successfully managed teams in the past. Highlight your ability to teach and mentor others, as well as any experiences where you've overseen project delivery directly with clients.
✨Consulting Savvy is Key
Demonstrate your consulting skills by preparing to discuss how you've shaped data and AI solutions for clients. Think of specific instances where you've worked closely with customers to understand their needs and how you translated those into actionable strategies.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and AI. Brush up on relevant technologies and frameworks, and be ready to explain complex concepts in a way that’s easy to understand. This will show your depth of knowledge and ability to communicate effectively with both technical and non-technical stakeholders.