At a Glance
- Tasks: Analyse brand visibility and uncover insights using AI and data science.
- Company: Exciting early-stage AI startup focused on brand perception.
- Benefits: Competitive salary, hands-on experience, and growth opportunities.
- Other info: Join a collaborative team in a fast-paced startup environment.
- Why this job: Shape an AI-driven product and make a real impact.
- Qualifications: Degree in STEM and programming skills in Python and SQL.
The predicted salary is between 28000 - 44000 £ per year.
Junior Data Scientist – AI Start-up | GenAI
Location: London [3 days p.week on-site]
Experience: Graduate to 2 years’ experience
Salary: DoE: £35,000 - £55,000
The Company
Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends.
This is a unique opportunity for an ambitious early-career professional to join a small, fast-moving team and work directly with the founders building products at the cutting edge of AI, data science, and automation.
The Role(s)
We\'re looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world insights.
While the focus is on data science, the team is also interested in applicants whose skills & interests lean more towards AI Agent Engineering or Generative BI development. Candidates with strengths in these areas are encouraged to apply, as there is flexibility to shape the role around the right person.
Key Responsibilities:
- Analyse brand visibility, thematic content, and semantic patterns.
- Work with large language models (LLMs) to classify content, detect mentions, and surface trends.
- Design experiments to measure brand impact and test new ideas.
- Collaborate with product and engineering teams to turn data insights into product features.
- Deploy and monitor models in cloud environments.
Candidate Profile
Essential:
- Degree in a STEM subject (Computer Science, Data Science, Engineering, Maths, Physics, etc.) or strong analytical background.
- Programming experience with Python, SQL.
- Strong analytical and problem-solving skills.
- Interest in AI, natural language processing, or data visualisation.
- Adaptability and willingness to learn in a fast-paced startup environment.
Nice to have:
- Familiarity with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI).
- Exposure to cloud platforms (AWS, Docker) or CI/CD principles.
- Previous projects involving NLP, machine learning, automation, or dashboard design.
Why Apply?
- Impact: Contribute directly to shaping an AI-driven product used by leading brands.
- Learning: Gain hands-on experience with modern AI tools and frameworks, working closely with the founding team.
- Growth: Develop skills across data science, automation, and BI in a role that evolves with your strengths.
- Environment: Join a collaborative, high-growth startup where your contributions are valued and visible.
Junior Data Scientist in London employer: Hyre Ai
Hyre AI is an exceptional employer for aspiring data scientists, offering a unique opportunity to work in a dynamic startup environment in London. With a strong focus on employee growth, you will gain hands-on experience with cutting-edge AI tools while collaborating closely with the founding team. The company's culture promotes innovation and adaptability, ensuring that your contributions are not only valued but also have a direct impact on shaping AI-driven products for leading global brands.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data 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 Hyre Ai!
✨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 Junior Data Scientist at Hyre Ai.
✨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 Hyre Ai.
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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 Hyre Ai, 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 Hyre Ai. 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 Hyre Ai
✨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 Hyre Ai!
✨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.
