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.