R3591
Edinburgh
Analytics & Data Science
R3591
Edinburgh
Analytics & Data Science
This role is eligible for our five day flex office work model
Data Scientist
We are a data-driven organization, where machine learning powered products provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit of our customers.
Why this job’s a big deal:
As a data scientist you will have the opportunity to design new machine learning models and build new machine learning products in a growing team within a large organization. Work at an organization where the business is increasing investment in machine learning solutions and sees the solutions as a competitive advantage. Solve real world problems that span various domains within our business such as: Price optimization, NLP, Computer Vision, Sales forecasting and Hypothesis testing
In this role, you will get to:
Design, develop and maintain machine learning models to solve business problems
Evaluate and improve existing machine learning models
Work alongside machine learning engineers and developers to integrate machine learning solutions into production platforms
Understand business requirements from non-technical team members
Present technical solutions to non-technical team members
Use technologies such as Python, Tensorflow, Keras, Spark, Numpy, Pandas, Spacy and many other tools and libraries
Train models using AWS Sagemaker and deploy services in Kubernetes
Process large quantities of data streamed from many different applications to test and build our models
Leverage AWS Augmented AI to assist in labeling tasks
Who you are:
Experience in implementing artificial intelligence/machine learning solutions in Python and Tensorflow
2+ years of commercial/academic experience with demonstrated technical skills in one or more of the following areas: NLP, Computer Vision, Deep Learning
Masters or PhD qualification in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc
Experience evaluating and improving existing machine learning models
Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment
Experience with Tensorflow, Keras, Pandas, Numpy, SQL
#LI-SQ1