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 mentorship and career growth in a dynamic environment.
- Why this job: Shape the future of AI in a leading global organisation and make a real difference.
- Qualifications: Proven experience in Data Science, Machine Learning, and GenAI leadership.
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 in London employer: McGregor Boyall Associates
As a Lead AI & Data Scientist at our global professional services firm in London, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We offer competitive salaries, comprehensive benefits, and a strong commitment to employee growth through mentorship and leadership opportunities. Join us to be at the forefront of AI advancements, shaping impactful solutions while enjoying a supportive culture that values diversity and inclusion.
Contact Details:
McGregor Boyall Associates Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on platforms like LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your expertise in AI and Data Science. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your projects! Create a portfolio that highlights your work in GenAI, Machine Learning, and any relevant applications. We love seeing tangible examples of your skills and how you’ve tackled real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re here to help you land that dream role, so take the leap and submit your application today!
We think you need these skills to ace Lead AI & Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead AI & Data Scientist. Highlight your experience with Data Science, Machine Learning, and GenAI initiatives, and don’t forget to mention any relevant projects that showcase your skills in delivering AI solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your leadership experience and how you've successfully translated complex business challenges into scalable AI products. Keep it engaging and personal!
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially with Azure, Databricks, and modern cloud-based AI platforms. Mention specific projects where you’ve built and deployed LLM-powered applications to demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at McGregor Boyall Associates
✨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 how you'll communicate 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 senior leadership position, so be prepared to talk about your experience mentoring others and leading teams. Think of specific instances where your leadership made a significant impact on a project 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.
