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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: Undergraduate student in Data Science or related 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 (#720890) in Manchester employer: Hirebridge
Contact Detail:
Hirebridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Placement Analyst (#720890) in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even reach out to alumni from your university. Building relationships can open doors that you didn’t even know existed.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your data analysis and machine learning skills. This will give potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and data analytics. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving abilities.
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at landing that placement! We love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace AI Placement Analyst (#720890) 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're looking for!
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 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 through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
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 concepts. Be ready to discuss how you've applied these methods in real-world scenarios, especially with large datasets. This will show your practical experience and confidence in the subject.
✨Communicate Clearly
Since you'll need to explain complex technical findings to non-technical stakeholders, practice simplifying your explanations. Use visual aids or examples from your past work to illustrate your points. This will demonstrate your communication skills and ability to collaborate effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in your projects and how you overcame them. Highlight your analytical thinking and attention to detail by providing concrete examples of how you identified patterns or trends in data and the impact of your solutions.
✨Familiarise Yourself with PRGX
Research PRGX and their approach to source-to-pay data analytics. Understanding their services and how they maximise revenue recovery will help you tailor your responses and show genuine interest in the company. It’s a great way to connect your skills with their needs.
