At a Glance
- Tasks: Lead a team to deliver innovative AI and data science solutions.
- Company: Dynamic professional services firm at the forefront of AI technology.
- Benefits: Competitive salary, flexible working, and opportunities for career advancement.
- Other info: Join a forward-thinking team with a focus on emerging technologies.
- 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 80000 - 100000 £ 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 and Data Scientist in London employer: Talent Locker
As a Lead AI and Data Scientist, you will thrive in a dynamic work culture that values innovation and collaboration, situated in a forward-thinking professional services environment. The company offers exceptional employee growth opportunities through hands-on leadership, mentoring, and the chance to shape the future of AI technology while working closely with senior stakeholders. With a commitment to responsible AI practices and a focus on delivering impactful solutions, this role provides a unique platform for meaningful contributions and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI and Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Talent Locker!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead AI and Data Scientist at Talent Locker.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Talent Locker.
✨Apply Directly through Our Website
When you find a suitable opening like Lead AI and Data Scientist at Talent Locker, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead AI and Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Talent Locker, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Talent Locker. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Talent Locker
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Talent Locker!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
