What are the working arrangements and expected duration for the AI Placement Analyst – Undergraduate Placement (12-Month Sandwich Year Programme) role?

This position is a full-time, structured as a on-site role, with an expected duration of 12 months.

What educational background or degree level is required for the AI Placement Analyst – Undergraduate Placement (12-Month Sandwich Year Programme) at PRGX Global Inc.?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does PRGX Global Inc. provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Only UK.

AI Placement Analyst – Undergraduate Placement (12-Month Sandwich Year Programme)

Q: How do I apply for the AI Placement Analyst – Undergraduate Placement (12-Month Sandwich Year Programme) position at PRGX Global Inc. and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

PRGX Global Inc.

Found 1 month ago

Location

Manchester, United Kingdom

Duration (Months)

12 Months

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Only UK

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
AI/ML
machine learning algorithms
statistical modelling
data preprocessing
feature engineering
data visualisation
large or unstructured datasets
supervised and unsupervised learning algorithms
deep learning
statistical modelling

Soft Skills

Excellent communication skills
Strong analytical thinking
problem-solving capability
exceptional attention to detail
clear storytelling

Job Description

• Collect, clean, process, and analyse large datasets to extract valuable insights • Apply machine learning algorithms and statistical modelling techniques to identify patterns, trends, and relationships • Collaborate with cross-functional teams to understand business needs and develop data-driven AI solutions • Design, implement, and tune end-to-end ML pipelines (pre-processing → model training → evaluation → deployment) • Document technical processes, methodologies, and findings in a structured and repeatable format • Communicate complex analytical or technical findings to non-technical stakeholders using visualisation and clear storytelling • Support ongoing AI/ML initiatives that enhance operational performance and analytics capability • Other duties as assigned.

Requirements

Undergraduate student only — enrolled at a UK university in Data Science, Computer Science, Mathematics, Statistics, or a related degree with a placement/sandwich year
Predicted 2:1 or 1st Class Honours
Academic or practical experience applying AI/ML methods to real datasets
Understanding of supervised and unsupervised learning algorithms, deep learning, and statistical modelling
Experience with data preprocessing, feature engineering, data visualisation
Strong proficiency in Python and experience with large or unstructured datasets
Excellent communication skills with the ability to convey technical concepts clearly
Strong analytical thinking, problem-solving capability, and exceptional attention to detail

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Natural Language Processing techniques
Deep learning frameworks (TensorFlow, PyTorch)
Generative AI tools/frameworks (LLMs, diffusion models)
Experience building Python microservices (Flask, Docker)
SQL and database systems
Agile methodologies and version control tools such as Git

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