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 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 in London 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, making this an exceptional place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Scientist in London
✨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 who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI and Data Science. Whether it's a GitHub repository or a personal website, make sure it highlights your hands-on experience and the impact of your work. This will help 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. Remember, it’s not just about technical skills; show your passion for AI and how you can contribute to the company’s goals.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making an impact in the world of AI.
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 partnered with stakeholders to deliver impactful AI solutions.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially with Azure, Databricks, and LLM-powered applications. Mention specific examples of how you've defined governance and monitoring for AI initiatives in past roles.
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 get you one step closer to joining our team!
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 your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
This role is all about leading teams and projects. Prepare examples of how you've successfully led Data Science initiatives, mentored others, and engaged with stakeholders. Highlight your ability to translate complex challenges into actionable solutions.
✨Understand the Business Impact
Be prepared to discuss how your AI solutions have driven measurable business impact in previous roles. Think about specific use cases you've worked on and how they contributed to the organisation's goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI roadmap, their approach to Responsible AI, and how they measure success. This shows your genuine interest and helps you assess if the company is the right fit for you.
