Job Description

Description:

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The BI/Data Science graduate will join our Data Analytics department to work on enhancing our Business Intelligence platform, our specialised data applications, and take active part in business process digitalisation initiatives. This is an excellent opportunity for a recent graduate to gain hands-on experience with enterprise-level Data & BI systems while contributing to high-impact projects that drive business insights and decision-making.



You'll be working primarily with SQL, Python, LLMs, and Streamlit to help build and maintain innovative data applications, alongside Microsoft Power Platform tools (Power Apps, Power Automate, and Power BI) for business process automation and digitalisation. This role offers exposure to the full data lifecycle from extraction and transformation through to visualization and stakeholder presentation, with opportunities to leverage cutting-edge AI technologies.

This is a 1 year FTC paying a salary of 35,000 - ideally September start.

Requirements:

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Academic Background:

Computer Science / Data Science / Mathematics Degree or similar. SQL for data querying, manipulation, and analysis. Knowledge of statistical concepts and data analysis methodologies. Python for data processing, analysis, and application development. Streamlit or similar frameworks for building interactive data applications. Understanding of business process automation and workflow optimization principles.

Desirable Skills / Experience:

Understanding of data visualization principles and best practices. Experience with relational databases and data modelling concepts. Understanding of machine learning concepts and libraries (scikit-learn, pandas). Experience with LLM frameworks & APIs (OpenAI, Mistral AI, Hugging Face, Ollama, etc..).

Benefits:

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25 days of holiday Bonus Pension contribution Private medical, dental, and vision coverage Life assurance Critical illness cover Wellness contribution program with access to ClassPass Plumm Platform Five volunteering days Give as You Earn initiative Learning and development programs Electric Vehicle Scheme Cycle to Work Scheme Season Ticket Loan

Department:
TECHNOLOGY
Location:
London


United Kingdom
Contract: