At a Glance
- Tasks: Lead AI initiatives and deliver innovative solutions that drive business impact.
- Company: Global professional services firm with a strong focus on Data & AI.
- Benefits: Competitive salary up to £140k, bonus, hybrid working, and comprehensive benefits.
- Other info: Opportunity for career growth and mentorship in a dynamic environment.
- Why this job: Shape the future of AI in a leading organisation and make a real difference.
- Qualifications: Proven experience in Data Science and leadership within complex organisations.
The predicted salary is between 140000 - 140000 £ per year.
A senior leadership opportunity within a global professional services organisation investing heavily in Data & AI. You’ll play a key role in shaping and delivering the firm’s AI roadmap, working closely with senior stakeholders to identify high-value use cases and take them from concept through to production. This is a hands‑on leadership role combining Data Science, GenAI, Solution Architecture and stakeholder engagement, focused on delivering AI‑powered solutions that drive measurable business impact.
Key Responsibilities
- Define the technical strategy for Data & AI initiatives across the business
- Lead the design and delivery of GenAI, NLP, Machine Learning and RAG-based solutions
- Translate complex business challenges into scalable AI products and capabilities
- Own architecture patterns covering orchestration, retrieval, monitoring, evaluation and governance
- Deliver AI use cases across document intelligence, knowledge search, workflow automation and AI assistants
- Partner with business, product and engineering teams to embed AI into core processes
- Evaluate emerging AI technologies and third‑party vendors
- Establish best practice around Responsible AI, model evaluation and production deployment
- Mentor Data Scientists and provide technical leadership across delivery teams
Key Requirements
- Proven experience leading Data Science, Machine Learning or GenAI initiatives within complex organisations
- Experience building and deploying LLM‑powered applications
- Strong knowledge of RAG, embeddings, vector databases and retrieval architectures
- Experience with Azure, Databricks and modern cloud‑based AI platforms
- Track record delivering AI solutions into production environments
- Experience defining governance, monitoring and Responsible AI controls
- Excellent stakeholder management and communication skills
- Experience delivering AI solutions across document‑heavy environments, particularly legal services, would be advantageous
This is an opportunity to shape how AI is adopted across a global organisation and play a leading role in moving innovative AI solutions from concept to enterprise‑scale deployment.
No sponsorship available.
Lead AI & Data Scientist employer: McGregor Recruitment
As a Lead AI & Data Scientist at our global professional services firm in London, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With a strong commitment to employee growth, we offer extensive training opportunities and the chance to lead cutting-edge AI initiatives that drive real business impact. Enjoy the flexibility of a hybrid working model, competitive salary, and a comprehensive benefits package, all while being part of a forward-thinking organisation that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and Data Science. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI and Data Science. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when chatting with potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and Data Science. Be ready to discuss your past experiences and how they relate to the role. Confidence is key, so practice makes perfect!
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through us can give you an edge, as we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Lead AI & Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI & Data Scientist role. Highlight your leadership in Data Science and any hands-on experience with GenAI or Machine Learning. We want to see how you can shape our AI roadmap!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects where you've delivered measurable business impact.
Showcase Your Technical Skills:In your application, be sure to highlight your experience with Azure, Databricks, and any modern cloud-based AI platforms. We’re looking for someone who can hit the ground running, so let us know how you've successfully deployed LLM-powered applications.
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. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at McGregor Recruitment
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around GenAI, NLP, and Machine Learning. Be ready to discuss specific projects you've led or contributed to, showcasing your hands-on experience with LLM-powered applications.
✨Stakeholder Engagement is Key
Since this role involves working closely with senior stakeholders, practice articulating complex technical concepts in a way that's easy for non-technical folks to understand. Prepare examples of how you've successfully engaged with stakeholders in the past.
✨Showcase Your Leadership Skills
This is a leadership position, so be prepared to talk about your experience mentoring others and leading teams. Think of specific instances where your guidance made a difference in project outcomes or team dynamics.
✨Understand Responsible AI
Familiarise yourself with best practices around Responsible AI and governance. Be ready to discuss how you've implemented these principles in previous roles, particularly in relation to model evaluation and production deployment.
