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 career growth.
- Other info: Mentor teams and establish best practices in a dynamic, collaborative 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 130000 - 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.
Lead AI & Data Scientist employer: McGregor Boyall
As a Lead AI & Data Scientist at our global professional services firm in London, you will be part of a dynamic and innovative work culture that prioritises collaboration and employee growth. With a hybrid working model, competitive salary, and a strong focus on cutting-edge AI technologies, we offer unique opportunities to shape the future of AI within the organisation while enjoying a supportive environment that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Scientist
✨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 experience with 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! Whether it's through a portfolio or GitHub, let your work speak for itself. We believe that demonstrating your hands-on experience with AI solutions can set you apart from other candidates.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect with us directly.
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 to catch our eye!
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 shaping our AI roadmap. Be genuine and let your personality come through!
Showcase Relevant Projects:If you've worked on projects involving LLM-powered applications or document intelligence, make sure to include them in your application. We love seeing real-world examples of your work and how you've tackled complex challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at McGregor Boyall
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, Data Science, and GenAI. Be ready to discuss specific projects you've led, especially those involving LLM-powered applications or RAG-based solutions. This is your chance to showcase your expertise!
✨Showcase Your Leadership Skills
Since this is a senior leadership role, be prepared to talk about your experience in mentoring Data Scientists and leading teams. Share examples of how you've successfully managed stakeholder relationships and driven AI initiatives from concept to production.
✨Understand the Business Impact
It's crucial to demonstrate how your AI solutions have delivered measurable business impact. Think of specific use cases you've worked on, particularly in document-heavy environments like legal services, and be ready to explain how they added value.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI roadmap and their approach to Responsible AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.
