AI Solutions Lead: Build & Scale Prototypes

AI Solutions Lead: Build & Scale Prototypes

Full-Time 81000 - 99000 £ / year (est.) No working from home possible
FIRST

At a Glance

  • Tasks: Design and build AI solutions, scaling prototypes across the company.
  • Company: FIRST, a forward-thinking organisation focused on innovative AI solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a collaborative team and drive innovation in AI technology.
  • Why this job: Lead exciting AI projects and make a real impact in a dynamic environment.
  • Qualifications: Experience in AI development and strong leadership skills.

The predicted salary is between 81000 - 99000 £ per year.

FIRST is seeking an AI Solutions Lead to design and build working AI solutions, then scale successful prototypes across the company.

You will bridge business, product, and technology, turning ambiguous problems into practical technical briefs and leading a growing technical team.

You will work within FIONA, FIRST's AI studio, collaborating with cross-functional stakeholders to drive rapid, governance-conscious delivery and hands-on execution.

#J-18808-Ljbffr

AI Solutions Lead: Build & Scale Prototypes employer: FIRST

FIRST is an exceptional employer that fosters a dynamic and inclusive work culture, offering extensive benefits such as private medical insurance, generous annual leave, and wellness stipends. With a strong focus on employee growth, you will have the opportunity to lead a high-performing team while collaborating with global brands and leveraging innovative commercial strategies. Located in vibrant cities like London, New York, and Singapore, FIRST provides a unique environment for professional development and meaningful impact in the brand experience industry.

FIRST

Contact Details:

FIRST Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solutions Lead: Build & Scale Prototypes

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 FIRST!

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 AI Solutions Lead: Build & Scale Prototypes at FIRST.

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 FIRST.

Apply Directly through Our Website

When you find a suitable opening like AI Solutions Lead: Build & Scale Prototypes at FIRST, 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 AI Solutions Lead: Build & Scale Prototypes

AI Solutions Design
Prototype Development
Cross-Functional Collaboration
Technical Leadership
Problem-Solving Skills
Technical Brief Creation
Project Management

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 FIRST, 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 FIRST. 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 FIRST

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 FIRST!

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.