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- Tasks: Shape AI strategies and lead initiatives for clients to drive business impact.
- Company: Join an award-winning consultancy known for innovation and a fantastic work culture.
- Benefits: Flexible remote work, corporate perks, and quarterly team gatherings.
- Why this job: Be at the forefront of AI innovation and make a real difference in businesses.
- Qualifications: 3-5 years in data consulting with strong stakeholder management and analytical skills.
- Other info: Travel required for client workshops; open to candidates across the UK.
The predicted salary is between 43200 - 72000 £ per year.
We have a fantastic opportunity to join an award winning Data & AI boutique consultancy which continues to scale. This firm has won multiple awards both for innovation in the AI space, as well as for its culture and working environment. They are looking for a consultant or senior consultant level candidate to help shape the future of data and AI by working with clients to define and implement AI strategies that drive real business impact.
Key responsibilities will include:
- Engage stakeholders to understand their data & AI needs and ensure alignment with strategic business goals
- Create and manage roadmaps for the development and deployment of AI solutions
- Evaluate and recommend technologies that enhance data capabilities in line with business needs
- Running client-facing workshops focused on GenAI use-case discovery and prioritisation
The ideal candidate will come from a data & AI consulting background, and have strong stakeholder management skills. You will also need strong analytical thinking and problem solving skills and be able to identify and address complex data challenges, designing practical, scalable solutions that create value.
From an AI perspective you will need the following experience:
- Commercial awareness of where GenAI can drive value across business functions
- Capability to assess GenAI readiness across data infrastructure, talent, governance, and culture
- Strong understanding of GenAI solution types and when to recommend them (e.g. assistants, summarisation, generation)
- Familiarity with the strengths and limitations of major GenAI platforms (Azure OpenAI, AWS Bedrock, open-source LLMs)
- Proficiency in building indicative cost models and advising on ways to optimise usage and spend
- Solid grasp of AI ethics, legal frameworks, and compliance considerations, including UK and EU guidelines
This person can be based anywhere in the UK, but there will be travel for client workshops etc. There would also be times when all the team get together, but likely only once a quarter.
Please note the client is not looking for senior manager level candidates for this role. This is a fantastic opportunity to join this rapidly growing, award winning consulting firm in a role at the cutting edge of AI innovation.
AI Consultant - Award-Winning Data Consultancy - AI Strategy employer: Milburn Lewis
Contact Detail:
Milburn Lewis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant - Award-Winning Data Consultancy - AI Strategy
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data consultancy. Understanding the current landscape will help you engage effectively with stakeholders and demonstrate your knowledge during discussions.
✨Tip Number 2
Network with professionals in the AI and data consultancy space. Attend industry events or webinars to connect with potential colleagues and clients, which can give you insights into what they are looking for in a consultant.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully managed stakeholder relationships and implemented AI strategies. This will showcase your experience and ability to drive business impact.
✨Tip Number 4
Stay updated on the ethical considerations and legal frameworks surrounding AI, especially in the UK and EU. Being knowledgeable in this area will set you apart as a candidate who understands the broader implications of AI solutions.
We think you need these skills to ace AI Consultant - Award-Winning Data Consultancy - AI Strategy
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Consultant position. Tailor your application to highlight your relevant experience in data consulting and stakeholder management.
Craft a Compelling CV: Your CV should clearly showcase your 3-5 years of data consulting experience. Emphasise your analytical thinking, problem-solving skills, and any specific projects where you've successfully implemented AI strategies.
Write a Tailored Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their focus on AI strategy and your understanding of GenAI technologies. Be sure to mention your commercial awareness and ability to assess AI readiness.
Highlight Relevant Skills: Make sure to highlight your familiarity with major GenAI platforms and your grasp of AI ethics and compliance considerations. This will demonstrate your capability to navigate the complexities of AI solutions and their implications in a business context.
How to prepare for a job interview at Milburn Lewis
✨Understand the Company Culture
Before your interview, take some time to research the company's culture and values. Since this consultancy has won awards for its working environment, demonstrating that you align with their culture can set you apart from other candidates.
✨Showcase Your Stakeholder Management Skills
Prepare examples from your past experience where you've successfully engaged stakeholders. Highlight how you understood their needs and aligned them with strategic goals, as this is a key responsibility in the role.
✨Demonstrate Analytical Thinking
Be ready to discuss complex data challenges you've faced and how you approached solving them. This will showcase your analytical thinking and problem-solving skills, which are crucial for the position.
✨Familiarise Yourself with GenAI Solutions
Brush up on your knowledge of GenAI solution types and their applications. Be prepared to discuss how these solutions can drive value across business functions, as well as your understanding of the strengths and limitations of major GenAI platforms.
