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Berlin

Senior Data Scientist

R3422

Location

Edinburgh

London (inactive)

Career Track

Analytics & Data Science

Apply Now

Senior Data Scientist

R3422

Location

Edinburgh

London (inactive)

Career Track

Analytics & Data Science

This role is eligible for our five day flex office work model

Senior 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

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