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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Junior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Junior Data Scientist role. Highlight your programming experience with Python and SQL, and any projects related to AI or data analysis. We want to see how you fit into our exciting world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and data science, and explain why you're excited about this opportunity at Hyre AI. Let us know how your analytical mindset can contribute to our mission of turning data into insights.
Showcase Relevant Projects:If you've worked on any projects involving NLP, machine learning, or data visualisation, make sure to mention them! We love seeing practical examples of your skills in action, so don’t hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team at this innovative startup!
How to prepare for a job interview at Hyre Ai
✨Know Your Stuff
Make sure you brush up on your knowledge of data science and AI concepts. Be ready to discuss your programming experience with Python and SQL, as well as any projects you've worked on that relate to NLP or machine learning. This will show that you're not just a theoretical candidate but someone who can apply their skills in real-world scenarios.
✨Show Your Curiosity
This role is all about uncovering stories hidden in data, so demonstrate your curiosity during the interview. Ask insightful questions about the company's approach to brand visibility and how they leverage large language models. This will highlight your analytical mindset and genuine interest in the field.
✨Be Ready to Adapt
Startups are fast-paced and ever-changing, so be prepared to discuss how you've adapted to new challenges in the past. Share examples of how you've learned new tools or technologies quickly, especially if you have experience with workflow automation or cloud platforms. This will show that you're a flexible team player.
✨Collaborate and Communicate
Since the role involves working closely with product and engineering teams, emphasise your collaboration skills. Prepare to talk about how you've successfully worked in teams before, and be ready to share examples of how you turned data insights into actionable features. Good communication is key in a startup environment!
