At a Glance
- Tasks: Design and deploy impactful AI solutions while managing projects end-to-end.
- Company: Join Guidant Global, a diverse and inclusive tech company focused on real-world AI problems.
- Benefits: Collaborative team environment with opportunities for growth and meaningful work.
- Other info: Embrace a culture of learning and innovation while influencing technical direction.
- Why this job: Make a real impact with your AI skills in a supportive, high-trust setting.
- Qualifications: Strong Python skills and experience in applied AI or data science roles.
The predicted salary is between 70000 - 90000 £ per year.
Working Environment
You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes.
What You'll Be Doing
- Design, build and deploy applied AI and data science solutions that deliver measurable impact.
- Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement.
- Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems.
- Apply modern AI and machine learning techniques using strong Python engineering skills.
- Build solutions that can operate in secure, constrained or offline environments without reliance on external services.
- Consider performance, scalability and resilience when deploying AI into operational systems.
- Influence technical direction through evidence, communication and delivery results.
- Share knowledge and support learning across the wider data science community.
Your Experience
- Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role.
- Excellent Python skills, with the ability to write clean, efficient, production-quality code.
- Experience developing and deploying AI solutions outside of fully managed cloud services.
- Solid understanding of modern AI and machine learning techniques.
- Experience working with imperfect, real-world data and operational constraints.
- Confidence owning work end-to-end and managing your own delivery.
- The ability to influence technical decisions without formal authority.
In Return
You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties.
Applied AI Scientist in London employer: The Client
At Guidant Global, we pride ourselves on being an excellent employer, particularly for the Delivery Manager (AI) role. Our dynamic work culture fosters innovation and collaboration, allowing you to thrive in a fast-paced environment while contributing to meaningful AI projects. With a strong commitment to diversity and inclusion, we offer ample opportunities for professional growth and development, ensuring that every team member feels valued and empowered to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI 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 The Client!
✨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 Applied AI Scientist at The Client.
✨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 The Client.
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When you find a suitable opening like Applied AI Scientist at The Client, 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 Applied AI 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 The Client, 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 The Client. 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 The Client
✨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 The Client!
✨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.
