Overview
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Job Description
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 of large 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 and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about , 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 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 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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
