At a Glance
- Tasks: Lead the delivery of innovative AI and machine learning solutions in a global insurance company.
- Company: Join a forward-thinking insurance organisation focused on cutting-edge AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and emerging technologies.
- Why this job: Shape the future of AI while mentoring a talented team and driving impactful projects.
- Qualifications: Experience in AI delivery, strong Python skills, and a passion for innovation.
The predicted salary is between 74295 - 90805 £ per year.
We're looking for an experienced
Data Science & AI Delivery Lead to lead the delivery of enterprise AI and machine learning solutions within a global insurance organisation.
This is a hands-on technical leadership role, ideal for someone who enjoys combining software engineering, data science, AI, and delivery leadership.
You'll help shape the technical direction of a growing AI function while leading the successful delivery of innovative solutions using machine learning, generative AI, and cloud technologies.
What you'll do
- Lead the end-to-end delivery of AI, machine learning, and advanced analytics solutions from concept through production.
- Provide technical leadership across multiple AI initiatives, ensuring high standards for architecture, engineering, scalability, and deployment.
- Design and build AI solutions using large language models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI approaches.
- Remain hands-on with development, contributing to Python code, architecture reviews, and technical problem-solving.
- Drive best practices across MLOps, testing, deployment, monitoring, version control, and AI governance.
- Partner with engineering, data, and business teams to deliver scalable, production-ready AI capabilities.
- Mentor and develop a team of Data Scientists and AI Engineers through coaching, code reviews, and technical leadership.
- Evaluate emerging AI technologies and lead proof-of-concepts that create business value.
What we're looking for
- Significant experience delivering AI and machine learning solutions in production environments.
- Strong Python development skills with experience across modern machine learning and data science frameworks.
- Hands-on experience with large language models, generative AI, prompt engineering, and RAG architectures.
- Experience with Databricks, MLflow, Spark, and cloud-based AI platforms (Azure preferred).
- Strong understanding of MLOps, software engineering best practices, and production deployment pipelines.
- Experience leading technical teams while remaining actively involved in solution delivery.
- Excellent stakeholder management and communication skills, with the ability to translate technical concepts into business outcomes.
- Strong project delivery and prioritisation skills within fast-paced environments.
- Experience building AI agents and orchestration workflows.
- Insurance or financial services experience.
- Knowledge of responsible AI, model governance, explainability, and bias mitigation.
- #J-18808-Ljbffr
Data Science & AI Delivery Lead employer: i3
Join a leading global insurer in the heart of the City of London, where you will be part of a dynamic team driving significant transformation initiatives. With a strong focus on employee development and a collaborative work culture, this role offers competitive compensation and the chance to work on impactful projects within the London insurance market. Enjoy the unique advantage of a hybrid working model, allowing for flexibility while being part of a vibrant city environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science & AI Delivery Lead
✨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 i3!
✨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 Data Science & AI Delivery Lead at i3.
✨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 i3.
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When you find a suitable opening like Data Science & AI Delivery Lead at i3, 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 Data Science & AI Delivery Lead
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 i3, 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 i3. 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 i3
✨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 i3!
✨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.
