Junior Data Scientist: Generative AI & Data Pipelines

Harnham - Data and Analytics Recruitment; City Of London; On-site; GBP 40,000 - 50,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Junior Data Scientist in London to join an early-stage AI business. You will work closely with the founders and gain exposure to a broad range of data and AI projects across data science and data engineering.

Responsibilities include analyzing large datasets, building data pipelines, and contributing to Generative AI initiatives using modern LLM technologies.

Qualifications

• STEM background required.
• Commercial experience with data in a professional environment.
• Strong Python and SQL skills.
• Experience with ML libraries in professional, research, or personal projects.
• Exposure to Generative AI tech and LLMs.
• Understanding of software engineering fundamentals and development best practices.

Responsibilities

• Analyze large and complex datasets to uncover insights and business value.
• Support the development of data pipelines and data engineering processes.
• Work with proprietary client data to improve analytics and AI outputs.
• Contribute to Generative AI projects using modern LLM technologies.
• Assist with data labelling, model training, and experimentation.
• Build reporting, visibility, and decision-support solutions.
• Collaborate with stakeholders to translate business challenges into data-driven outcomes.
• Explore AI applications across operational, compliance, and sustainability use cases.

Skills

Python

SQL

ML libraries

Generative AI

Software engineering

Data analysis

Education

STEM degree (CS/Math/Physics/Engineering)

Job description

Harnham - Data and Analytics Recruitment is seeking a Junior Data Scientist in London to join an early-stage AI business. You will work closely with the founders and gain exposure to a broad range of data and AI projects across data science and data engineering.

Responsibilities include analyzing large datasets, building data pipelines, and contributing to Generative AI initiatives using modern LLM technologies.