At a Glance
- Tasks: Apply AI and data science to solve real business problems and enhance decision-making.
- Company: Join a dynamic AI team at the forefront of innovation.
- Benefits: Access to cutting-edge tech, collaborative culture, and growth opportunities.
- Other info: Embrace a culture of curiosity and experimentation.
- Why this job: Make a real impact in AI while working with diverse experts.
- Qualifications: Degree in Data Science or related field; experience with AI tools.
The predicted salary is between 60000 - 80000 £ per year.
We’re seeking an Applied AI & Data Science Specialist to join a multi‑disciplinary AI team that combines expertise in machine learning, generative and agentic AI, optimisation, and design to build intelligent, responsible, and scalable solutions. No one can know it all — AI is vast and fast‑moving. We value curiosity, collaboration, and breadth of understanding across domains more than mastery of any single discipline.
What you will do
- Apply AI and data science methods — from predictive modelling to Generative and Agentic AI — to solve real business problems.
- Use mathematical optimisation and analytical modelling to improve operations and resource efficiency.
- Design and prototype AI workflows and intelligent agents that enhance decision‑making and productivity.
- Contribute to AI system design ensuring scalability, performance and ethical integrity.
- Collaborate within a diverse team of strategists, data scientists, engineers and designers to translate ideas into impact.
- Stay current on AI trends, tools, and governance, fostering responsible and transparent adoption.
What you will bring
- Degree in Data Science, Artificial Intelligence, Applied Mathematics, or related field.
- Experience applying AI and analytics to real‑world challenges.
- Familiarity with Generative AI tools and frameworks (e.g., OpenAI, LangChain, Azure AI).
- Working knowledge of optimisation, modelling, and AI lifecycle practices.
- Strong communication skills with the ability to bridge technical and business perspectives.
What We Offer
- Opportunity to work at the intersection of data, design, and applied AI innovation.
- Access to cutting‑edge technologies and cross‑functional expertise in AI, analytics, and optimisation.
- A collaborative and growth‑oriented culture that values experimentation and impact.
If you require any assistance with regards to reasonable adjustments during the recruitment process, please do not hesitate to contact us – we will always be happy to help.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI & Data Scientist | Senior Consultant
✨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 Slalom Build!
✨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 & Data Scientist | Senior Consultant at Slalom Build.
✨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 Slalom Build.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI & Data Scientist | Senior Consultant at Slalom Build, 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 & Data Scientist | Senior Consultant
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 Slalom Build, 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 Slalom Build. 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 Slalom Build
✨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 Slalom Build!
✨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.
