AI Placement Analyst | Student Placement Undergraduate Sandwich Year Programme
JOB DUTIES & RESPONSIBILITIES
- Collect, process, and analyse large datasets to extract meaningful insights.
- Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships.
- Collaborate with cross‑functional teams to understand business objectives and develop data‑driven solutions.
- Design and implement end‑to‑end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment.
- Document processes, methodologies, and findings in a clear, structured manner.
- Communicate complex data insights and findings to non‑technical stakeholders through visualizations and presentations.
Experience & Education Requirements
- Currently enrolled in a UK university studying Data Science, Computer Science, Mathematics, Statistics, or a related field with predicted 2:1 or 1st class honours.
- Academic / Industry experience of applying AI techniques to solve complex data problems.
- Strong knowledge of machine learning and deep learning algorithms and statistical models, including supervised and unsupervised learning methods.
- Experience with data preprocessing, feature engineering, and data visualisation techniques.
- Proficiency in Python programming, and experience working with large unstructured data.
- Excellent communication skills, with the ability to explain complex concepts to non‑technical stakeholders.
- Strong problem‑solving skills and attention to detail.
Desirable Skills (Not Required)
- Experience working with natural language processing (NLP) techniques.
- Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with generative AI tools and frameworks (e.g., LLMs, diffusion models).
- Experience building Python microservices with Flask and Docker.
- Knowledge of SQL and database systems.
- Experience with agile development methodologies and version control tools such as Git.
What We Offer
- Competitive placement fixed salary income.
- 25 days + bank holidays per year, private dental & medical, life assurance, pension.
- Working hours 9 – 5pm in our Central Manchester offices (hybrid and remote options available).
- Exposure to real‑world business problems and industry‑standard tools.
- Opportunity to work on impactful projects from inception to deployment.