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: Mentorship opportunities and a dynamic environment for career growth.
- Why this job: Shape the future of AI in a leading global organisation and make a real difference.
- Qualifications: Proven leadership in Data Science and experience with AI technologies.
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.
Lead AI & Data Scientist employer: MCGREGOR BOYALL ASSOCIATES LIMITED
As a Lead AI & Data Scientist at our global professional services firm in London, you'll be part of a dynamic and innovative work culture that prioritises collaboration and cutting-edge technology. We offer a hybrid working model, competitive salary, and comprehensive benefits, alongside ample opportunities for professional growth and mentorship in the rapidly evolving field of AI. Join us to make a significant impact by shaping our AI strategy and delivering transformative solutions that drive business success.
Contact Details:
MCGREGOR BOYALL ASSOCIATES LIMITED Recruitment Team
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 have a lead on your dream job or can introduce you to someone at a global professional services firm.
✨Showcase Your Skills
Create a portfolio that highlights your best projects, especially those involving GenAI, NLP, or Machine Learning. Use platforms like GitHub to share your code and demonstrate your hands-on experience. This will make you stand out when you're chatting with potential employers.
✨Ace the Interview
Prepare for interviews by practising common questions related to AI and Data Science. Be ready to discuss your past experiences and how you've tackled complex challenges. Remember, it's not just about technical skills; show your passion for AI and how you can drive business impact!
✨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 often prioritise candidates who show genuine interest in our company. Plus, it’s a great way to stay updated on new opportunities in the field.
We think you need these skills to ace Lead AI & Data Scientist
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. We want to see your passion for AI!
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 any experience you have with LLM-powered applications and RAG architectures, as these are key to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Don’t miss out on this opportunity to shape AI adoption in a global organisation!
How to prepare for a job interview at MCGREGOR BOYALL ASSOCIATES LIMITED
✨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 your past projects and how they relate to the role. This shows you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this is a senior leadership role, prepare examples of how you've led teams and projects in the past. Highlight your experience in mentoring Data Scientists and driving initiatives from concept to production. This will demonstrate your capability to lead and inspire others.
✨Engage with Stakeholders
Think about how you've successfully engaged with senior stakeholders in previous roles. Prepare to discuss how you identify high-value use cases and translate complex challenges into actionable solutions. This will show that you can bridge the gap between technical and business needs.
✨Understand Governance and Best Practices
Familiarise yourself with Responsible AI practices and governance frameworks. Be prepared to discuss how you've implemented monitoring and evaluation controls in past projects. This will highlight your commitment to ethical AI deployment and your understanding of industry standards.
