At a Glance
- Tasks: Join as a Data Analytics and AI Consultant, focusing on advanced analytics and AI strategy.
- Company: Work with a leading consultancy known for its innovative approach in data science.
- Benefits: Enjoy a competitive rate of up to £700 per day and hybrid working options.
- Why this job: Be part of impactful projects that shape AI capabilities in large enterprises.
- Qualifications: Degree in Computer Science, Maths, or Statistics; experience in data analytics and AI required.
- Other info: Immediate availability and flexibility for commuting are a plus.
I am working with a leading Consultancy who are looking for a Data Analytics and AI Consultant with expertise in Data Science (including Python), Microsoft Architecture (Azure), Data & AI Use Case Design as well as AI Strategy and Governance to play a key role with an end client relating to advanced Analytics and AI capability.
Key Requirements:
- Proven experience in Data Analytics and AI from a Consultant / Solution Architect / Data Science perspective
- Extensive AI Strategy & Governance experience within large, Enterprise scale organisations
- Strong knowledge of Microsoft Azure Architecture
- Proficiency in Python & SQL Advisory
- Data & AI Use Case Design experience
- Proven capability to provide Technical Documentation & Executive Reporting
- Exceptional Stakeholder Engagement and communication skills (from C-Suite to Technical Teams including technical and non-technical audiences)
- Educated to Degree Level in Computer Science / Maths / Statistics (or related field)
- Flexible approach towards hybrid working (1-2 days per week onsite)
Nice to have:
- Immediate availability
- Critical National Infrastructure experience within Engineering / Construction / Transport industries
- Experience in Microsoft Fabric Implementation
- Flexibility to commute to another office location (if required)
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Data Analytics and AI Consultant employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics and AI Consultant
✨Tip Number 1
Make sure to brush up on your knowledge of Microsoft Azure Architecture, as this is a key requirement for the role. Familiarise yourself with the latest features and best practices to demonstrate your expertise during discussions.
✨Tip Number 2
Prepare to showcase your experience in AI Strategy and Governance. Think of specific examples from your past roles where you successfully implemented AI strategies in large organisations, as this will resonate well with the interviewers.
✨Tip Number 3
Since exceptional stakeholder engagement is crucial, practice articulating complex technical concepts in simple terms. This will help you communicate effectively with both technical and non-technical audiences during interviews.
✨Tip Number 4
If you have experience with Data & AI Use Case Design, prepare to discuss specific projects you've worked on. Highlight how your contributions led to successful outcomes, as this will demonstrate your practical knowledge and problem-solving skills.
We think you need these skills to ace Data Analytics and AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Analytics and AI, particularly focusing on your proficiency in Python, SQL, and Microsoft Azure. Use specific examples from your past roles that demonstrate your skills in AI Strategy and Governance.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key requirements mentioned in the job description. Emphasise your experience with Data Science and your ability to engage with stakeholders at all levels, from C-Suite to technical teams.
Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving Data & AI Use Case Design or Technical Documentation, be sure to include these in your application. Highlight your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a role in Data Analytics and AI.
How to prepare for a job interview at Hays
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and Microsoft Azure during the interview. Prepare examples of past projects where you successfully applied these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Prepare for Stakeholder Engagement Scenarios
Given the importance of communication with various stakeholders, be ready to discuss how you've effectively engaged with both technical and non-technical audiences in previous roles. Use specific examples to illustrate your ability to tailor your communication style to different groups.
✨Understand AI Strategy and Governance
Brush up on your knowledge of AI strategy and governance, especially within large organisations. Be prepared to discuss how you can contribute to developing and implementing these strategies in a consultancy context.
✨Demonstrate Flexibility and Adaptability
Since the role involves hybrid working, express your willingness to adapt to different working environments. Share experiences that showcase your flexibility, such as managing projects across various locations or adjusting to changing client needs.