At a Glance
- Tasks: Lead the delivery of cutting-edge Agentic AI solutions for ambitious clients.
- Company: Fast-growing AI tech scale-up with a pioneering enterprise AI platform.
- Benefits: Up to £120,000 salary, shares, and hybrid work options.
- Other info: Join a dynamic team with opportunities for growth and leadership.
- Why this job: Make a real impact in AI innovation while leading exciting projects.
- Qualifications: Strong data science expertise and experience with modern AI systems.
The predicted salary is between 80000 - 98000 £ per year.
We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead Data Scientist (Agentic AI). This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions — working with ambitious clients at the forefront of applied AI innovation.
This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence. Their digital AI agents provide always-on, intelligent insights — supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.
As Lead Data Scientist (Agentic AI), you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands‑on role combining strong technical depth with delivery leadership and stakeholder management. You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.
Key attributes of the suitable Lead Data Scientist (Agentic AI) include:
- Technical Data Science Expertise – Strong background delivering production‑grade solutions, ideally within consulting or product‑led environments
- Agentic AI & Modern AI Systems Experience – Hands‑on exposure to LLMs, RAG pipelines, and agentic frameworks
- Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post‑sale
Lead Data Scientist (Agentic AI) in City of London employer: Energy Jobline ZR
Join a pioneering AI tech scale-up in the heart of London, where innovation meets opportunity. As a Lead Data Scientist, you'll thrive in a dynamic work culture that champions creativity and collaboration, while enjoying competitive compensation, equity options, and a hybrid working model. With a strong focus on employee growth, this company offers unique chances to lead cutting-edge projects and make a significant impact in the rapidly evolving field of applied AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist (Agentic AI) in City of 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 Energy Jobline ZR!
✨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 Data Scientist (Agentic AI) in City of London at Energy Jobline ZR.
✨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 Energy Jobline ZR.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist (Agentic AI) in City of London at Energy Jobline ZR, 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 Data Scientist (Agentic AI) in City of 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 Energy Jobline ZR, 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 Energy Jobline ZR. 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 Energy Jobline ZR
✨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 Energy Jobline ZR!
✨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.
