A leading company seeks an AI Placement Analyst for a student placement opportunity in Manchester. This role focuses on data collection, analysis, and the application of machine learning techniques to produce meaningful insights. The candidate will collaborate with teams and communicate findings while receiving competitive benefits, including salary, holidays, and exposure to real-world projects.
Qualifications
* Experience in applying AI techniques to solve data problems.
* Strong knowledge of machine learning algorithms.
* Excellent communication skills to explain concepts to non-technical stakeholders.
Responsibilities
* Collect and analyze large datasets to extract insights.
* Design and implement end-to-end machine learning pipelines.
* Document processes and communicate findings through visualizations.
Skills
* Data Analysis
* Python
* Statistical Models
* Problem Solving
Education
Currently enrolled in a UK university studying Data Science, Computer Science, Mathematics, or Statistics.
Tools
* TensorFlow
* PyTorch
* Flask
* Docker
* SQL
* Git
Experience & Education Requirements
* Enrolled in a UK university with predicted 2:1 or 1st class honours in relevant fields.
* Academic/Industry experience applying AI techniques to complex data problems.
* Knowledge of machine learning, deep learning algorithms, and statistical models.
* Experience with data preprocessing, feature engineering, and visualization.
* Proficiency in Python and working with large unstructured data.
* Excellent communication skills for explaining complex concepts.
* Strong problem-solving skills and attention to detail.
* Experience with NLP techniques.
* Familiarity with deep learning frameworks like TensorFlow or PyTorch.
* Experience with generative AI tools and frameworks.
* Experience building Python microservices with Flask and Docker.
* Knowledge of SQL and database systems.
* Experience with agile methodologies and version control tools like Git.
What We Offer
* Competitive Placement Fixed Salary Income
* 25 days + bank holidays, private dental & medical, life assurance, pension
* Working hours 9–5 in Central Manchester (hybrid and remote options)
* Exposure to real-world business problems and industry-standard tools
* Opportunity to work on impactful projects from inception to deployment
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