At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI solutions and mentor a talented team.
- Company: Join Rentokil Initial, a leader in innovative AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on solving complex business challenges.
- Why this job: Make a real impact by driving AI innovation across global operations.
- Qualifications: Strong technical background in AI and experience in leading engineering teams.
The predicted salary is between 63000 - 77000 £ per year.
Apply promptly! A high volume of applicants is expected for the role as detailed below, do not wait to send your CV. hackajob is partnering directly with Rentokil Initial to hire for this role.
As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems.
The primary goals of the team include:
- Leading the technical design and architecture of AI solutions, in addition to building and running an AI platform to deliver business-specific Use Case solutions.
- Collaborating with the Data Platform team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI.
- Creating and operating a company-wide agentic AI solution platform to help scale up AI capabilities across all functions and regions.
- Building AI models and a data science platform that enables Rentokil to derive significant value from AI, from machine learning to gen AI and beyond, and ensuring the quality and reliability of AI solutions deployed on the platform.
- Supporting, governing, and enabling company-wide adoption of emerging AI technologies.
Purpose of the role: We are seeking a pragmatic, highly technical individual to lead the engineering efforts within our Agentic Factory. Sitting directly alongside our AI Delivery Manager and AI Product Owner, you will bridge the gap between business requirements and technical execution. Together with the AI & Data Architect, you will provide architectural oversight, defining engineering best practices, and mentoring a talented team of AI engineers & Data Scientists, while remaining hands-on enough to solve complex engineering bottlenecks. You will support Use Case Design and feasibility assessments, ensuring opportunities explored are achievable and scalable. You will support the Head of Engineering as the execution arm for AI responsibilities, extending your focus beyond the AI team to support and enable other IT teams across the organisation.
Lead Data Scientist - AI in Bournemouth employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - AI in Bournemouth
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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 Hackajob.
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We think you need these skills to ace Lead Data Scientist - AI in Bournemouth
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 Hackajob, 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 Hackajob. 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 Hackajob
✨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 Hackajob!
✨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.
