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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.
- Why this job: Make an impact with cutting-edge AI technology while enhancing your skills.
- Qualifications: Must be a UK undergraduate in a relevant field with strong analytical skills.
- Other info: Inclusive workplace with opportunities for career growth and development.
The predicted salary is between 30000 - 42000 £ 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. For more information about PRGX, visit www.prgx.com.
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 (#720891) in Manchester employer: Hirebridge
Contact Detail:
Hirebridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Placement Analyst (#720891) in Manchester
✨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
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and machine learning. Use mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Placement Analyst (#720891) in Manchester
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 science and AI. Share specific examples of your work or projects 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 experience with ML algorithms. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Hirebridge
✨Know Your Data
Before the interview, brush up on your understanding of data analytics and machine learning. Be ready to discuss specific algorithms you've used and how they apply to real datasets. This will show your technical prowess and enthusiasm for the role.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use examples or visual aids if possible. This will demonstrate your ability to bridge the gap between technical and non-technical audiences.
✨Showcase Your Projects
Prepare to talk about any relevant projects or coursework that involved data processing or machine learning. Highlight your role, the challenges you faced, and the outcomes. This gives the interviewer insight into your practical experience and problem-solving skills.
✨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 helps you assess if it's the right fit for you.