At a Glance
- Tasks: Lead a team to deliver innovative AI and data science solutions.
- Company: Dynamic professional services firm investing in cutting-edge AI technology.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Join a forward-thinking team in a rapidly evolving industry.
- Why this job: Shape the future of AI while solving real-world business challenges.
- Qualifications: Strong background in Data Science and excellent communication skills.
The predicted salary is between 130000 - 150000 £ per year.
Most data leadership roles sit at one end of the spectrum. Either highly technical, buried in models and architecture, or heavily stakeholder-focused with little involvement in the actual delivery. This role sits in the middle (or both). They need your skills in a client and stakeholder facing, upwards and downwards management and technical understanding.
You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating them into practical solutions, and helping senior stakeholders understand exactly how technology can create value.
The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such as Agentic AI, and driving adoption across the wider business.
Key responsibilities include:
- Leading a team of Data Scientists and AI specialists
- Defining Data & AI strategy and technical direction
- Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions
- Working directly with senior business stakeholders and clients
- Translating complex technical concepts into clear business language
- Driving delivery of AI products from concept through to production
- Establishing governance, evaluation frameworks and responsible AI controls
- Coaching and mentoring technical teams while remaining hands-on when required
To be successful, you'll need a strong background in Data Science, Machine Learning and modern AI technologies, combined with the communication skills to operate confidently from technical workshops through to executive-level discussions.
If you can articulate complex AI concepts in 30 seconds, influence stakeholders at every level, and lead a team focused on solving difficult business problems with data - please apply.
An opportunity to help shape the future direction of AI within a business that is investing heavily in the technology, in a disruptive industry and determined to stay ahead of the curve.
Lead AI & Data Scientist employer: Talent Locker
As a Lead AI & Data Scientist at our London-based firm, you'll be part of a dynamic and innovative work culture that values both technical expertise and stakeholder engagement. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, all while working on cutting-edge AI solutions that drive real business impact. Join us to shape the future of AI in a supportive environment that encourages collaboration and continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI & Data Scientist
✨Tip Number 1
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!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that involve machine learning and AI solutions. This will give potential employers a taste of what you can do and how you can add value.
✨Tip Number 3
Prepare for interviews by practising your storytelling. Be ready to explain complex technical concepts in simple terms. Remember, you’ll need to communicate effectively with both technical teams and senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by highlighting your unique blend of technical and stakeholder management skills.
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 technical expertise in AI, machine learning, and data science, but don’t forget to showcase your ability to communicate complex concepts clearly to stakeholders.
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 experience leading teams, delivering AI solutions, and how you can bridge the gap between technical and business needs.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex business problems using data science. We want to see your thought process and how you translate technical challenges into practical solutions that create value.
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’re considered for this exciting opportunity to shape the future of AI with us!
How to prepare for a job interview at Talent Locker
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and machine learning technologies. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This role requires a balance of technical know-how and practical application, so show them you can walk the talk!
✨Speak Their Language
Since this position involves translating complex concepts for stakeholders, practice explaining your work in simple terms. Prepare examples where you’ve successfully communicated technical ideas to non-technical audiences. This will demonstrate your ability to bridge the gap between tech and business.
✨Showcase Leadership Skills
As a Lead AI & Data Scientist, you’ll be expected to lead a team. Be prepared to share your leadership style and experiences. Discuss how you’ve mentored others, driven projects, and fostered collaboration within teams. Highlighting these skills will show you’re ready to take charge.
✨Understand the Business Context
Research the company’s industry and its specific challenges. Think about how AI can solve real-world problems for them. During the interview, connect your technical expertise with their business needs to illustrate how you can add value and drive their AI strategy forward.
