Data Science Graduate Career Accelerator
Key information
Location: Fully remote
Average salary: £33K+ upon completion
You must be based in the UK and have at least 30 months leave to remain.
Programme overview
AiCore is a specialist Ai & Data career accelerator. Our mission is to guide every individual to excel in the careers of the future by delivering the most industry informed, hands-on education in Ai & Data.
We deliver an immersive programme that will launch your career in data science at supersonic speed. Over 18 weeks, you will build and deploy production-grade systems, learning under the mentorship of industry experts.
On the Data Science specialisation, you will learn when and where machine learning models, including neural networks, are used within systems and how they are deployed.
Training overview
Starting with essential software and cloud engineering, you will cover
Command line
Git and Github
Python
Webscraping
Algorithms and Data structures
Software design and testing
SQL
Docker
AWS
CI/DCThen go on to cover data science specialist topics including
Statistical testing
Intro to Machine Learning
Maximum Likelihood Estimation
Supervised Models
Ensembles
Unsupervised learning techniques
Neural networksYou will gain certifications in each module as you go and will build industry-grade data science products.
Our best candidates:
Strong analytical and problem-solving skills.
Self-motivated and curious
ability to work under pressure; learning as they go.
Have the ability to work well in a team.AiCore is for pioneering individuals who want to shape the future. We work backwards from your ideal outcome to give you evidenced experience building real industry Ai & Data systems.
Please click the APPLY button and to submit your CV.
Candidates with experience or relevant job titles of; Graduate, Graduate Training, Tech Scheme, Technology Training, Graduate Opportunities, Artificial intelligence, Grad Programme, Machine learning, Data Science, Data Engineering, MLOps, Python, Interns and Grads will also be considered for this role
