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- Tasks: Analyse large datasets and develop AI solutions to drive business insights.
- Company: Join PRGX, a leader in data analytics and profit recovery services.
- Benefits: Gain hands-on experience, mentorship, and a competitive salary during your placement.
- Other info: Inclusive workplace with opportunities for career growth and development.
- Why this job: Make an impact with cutting-edge AI technology while enhancing your skills.
- Qualifications: Must be an undergraduate in a relevant field with strong analytical and programming skills.
The predicted salary is between 20000 - 30000 £ per year.
Employment Type: Full-time, 12-month fixed-term student placement
Work Authorization Requirements: Must have the legal right to work in the UK for the duration of the placement.
Language Requirements: Fluent English (written and verbal)
About PRGX: PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients.
Job Duties & Responsibilities:
- 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.
Knowledge & Qualifications:
- 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
Desirable (Not Essential) Skills:
- 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
Our Commitment to Equal Opportunity:
PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices.
Physical Requirements:
Ability to sit or stand for extended periods, manual dexterity for keyboard and office equipment use, visual acuity for screen-based work, ability to lift light items such as laptops, and normal speech/hearing for in-person and virtual communication.
Data Privacy:
Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.
AI Placement Analyst employer: PRGX Global Inc.
Contact Detail:
PRGX Global Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Placement Analyst
✨Tip Number 1
Network like a pro! Reach out to your university's alumni or professionals in the field. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Get your hands dirty with projects! Showcase your skills by working on real datasets or personal projects. This not only boosts your CV but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help you nail down your responses and boost your confidence. Plus, it’s a great way to get feedback on your communication style.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace AI Placement Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Placement Analyst role. Highlight relevant coursework, projects, and skills that align with the job description. We want to see how your experience connects with what we do at PRGX!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analytics and AI. Share specific examples of your work or studies that demonstrate your skills and enthusiasm for the role.
Showcase Your Technical Skills: Since this role involves working with large datasets and machine learning, make sure to mention your proficiency in Python and any relevant tools you've used. We love seeing practical experience, so don’t hold back on those details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the PRGX team!
How to prepare for a job interview at PRGX Global Inc.
✨Know Your Data
Before the interview, brush up on your understanding of data analytics and machine learning. Be ready to discuss specific projects where you've applied these skills, especially with large datasets. This will show your practical experience and how you can contribute to PRGX's goals.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your technical knowledge into clear, relatable terms. Use examples from your past experiences to illustrate your points, making it easier for the interviewer to grasp your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous projects. Think of specific instances where you used analytical thinking to solve a problem or improve a process. This will demonstrate your ability to think critically and adaptively, which is crucial for the role.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about PRGX's AI initiatives or team dynamics. This shows your genuine interest in the company and the role, and it gives you a chance to assess if it's the right fit for you too.