IAESTE Internships

Location

United Kingdom

Internship type

ON-SITE

Reference number

GB-2025-04-NFI

Students Requirements

General discipline

Computer Science / Informatics
Food Science
Material Engineering and Sciences

Completed Years of Study

2

Fields of Study

Computer and Information Research
Data Science
Artificial Intelligence
Data Mining and Analytics
Machine Learning

Languages

English Good (B1, B2)

Required Knowledge and Experience

-

Other Requirements

-

Work Details

Duration

26 - 52 Weeks

Within These Dates

16.06.2025 - 12.06.2026

Holidays

25.12.2025 - 02.01.2026

Work Environment

-

Gross pay

1350 GBP / month

Working Hours

37.5 per week / 7.5 per day

Living Lodging

Type of Accommoditation

IAESTE

Cost of lodging

850 GBP / month

Cost of living

1350 GBP / month

Work Offered

Additional Info

Work description

The host is looking for a Data Engineer / AI & Innovation Engineer passionate about data analysis and product development optimization in the agri-food sector. You will play a key role in experimental exploration, modelling, and process automation to accelerate innovation and improve the accessibility of analyses.Main Responsibilities• Develop and enhance the experimental database by conducting design of experiments (DoE) and using tools for exploring the experimental space.• Perform advanced data analysis to predict and optimize food recipes (multi-objective approaches, Pareto optimization, machine learning, PLSR).• Structure and organize data to improve its usability (currently managed in KNIME).• Utilize artificial intelligence (ChatGPT, Google Notebook, web scraping) to optimize product development and accelerate R&D.• Develop tools to make analyses more accessible (integration with Google Sheets, automation with Python, development of a specialized GPT assistant).• Ensure a good understanding and use of analytical tools (rheometer, texturometer, dry matter measurement) and industrial processes (emulsification, homogenization, mixing).• Automate repetitive tasks via Python scripts and Google Sheets.• Develop a service using the CRISP-DM methodology for other companies.Personal Skills• High level of autonomy and effective project management.• Strong writing and pedagogical skills to make analyses accessible.• Ability to simplify complex concepts and present them to the team.• Good command of English.• Knowledge of the agri-food sector, including functional ingredients (proteins, starch, enzymes, gelling agents, emulsifiers), would be a plus.

Deadline

24.04.2025