At a Glance
- Tasks: Develop and maintain AI solutions that enhance business workflows.
- Company: Global Food & Beverage organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid work, and extensive training opportunities.
- Other info: Join a supportive team and grow your skills in a dynamic environment.
- Why this job: Get hands-on experience in AI and automation while making a real impact.
- Qualifications: Interest in Python, SQL, and Microsoft tools; STEM graduates welcome.
The predicted salary is between 53820 - 65780 £ per year.
- Junior Data Scientist
- London Hybrid
We're excited to be partnering with a global Food & Beverage organisation on their search for a Junior Data Scientist to join their growing Data Science & AI team.
This is a great opportunity for someone looking to build a career at the intersection of AI, automation and business technology, working hands-on with tools including Microsoft Copilot, Power Automate, Power Apps and Claude.
What you can expect
- Hands-on exposure to AI & automation – supporting the development and maintenance of practical solutions that improve how teams across the business work, from automated workflows through to AI assistants and Copilot agents.
- A strong learning environment – you'll work alongside an experienced Data Science & AI team, gaining exposure to new technologies and developing your skills across the Microsoft Power Platform and generative AI.
- Real business impact – working from clear requirements to build, test and improve solutions that are used by colleagues across the organisation, while developing an understanding of how AI and automation can be applied effectively in a large business.
- A varied technical landscape – you'll work across Power Automate, Power Apps, Copilot, Claude, Share Point and Teams, with the opportunity to develop further into areas such as Python, SQL, APIs, Databricks and AI agents.
Desired background / skillset
- Some practical experience or a strong interest in Python, SQL Microsoft Power Automate, Power Apps and Microsoft 365, particularly Share Point and Teams.
- Experience using generative AI tools such as Microsoft Copilot or Claude, whether professionally, academically or through personal projects.
- A STEM graduate
- Good problem-solving skills and the confidence to investigate straightforward issues, while knowing when to escalate more complex technical or security concerns.
- Strong communication skills and a collaborative approach, particularly when supporting colleagues and explaining technical processes in simple terms.
- A genuine interest in AI, automation and emerging technology, with the appetite to learn and develop quickly.
Training and guidance will be provided, making this a particularly good opportunity for someone early in their career who wants to develop within a rapidly evolving AI environment.
If you're looking for a role where you can get genuinely hands-on with AI and automation while developing your technical skillset within an established Data & AI function, please apply with an up-to-date CV and we can take it from there.
Junior Data Scientist in London employer: TRIA
Tria is an exceptional employer that fosters a dynamic work culture, offering hybrid working arrangements that promote work-life balance. With a strong focus on employee growth and development, Tria provides opportunities for professional advancement while leading transformative projects in the North West. Join a team that values innovation and collaboration, ensuring you play a pivotal role in shaping the future of enterprise infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist in London
✨Get Involved in Data Science Meetups
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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 TRIA.
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When you find a suitable opening like Junior Data Scientist at TRIA, 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 Junior Data 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 TRIA, 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 TRIA. 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 TRIA
✨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 TRIA!
✨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.