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 visualization 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.