Data Scientist

Are we right for you?

Arm is looking to welcome a Data Scientist into one of our growing analysis teams, based in our Manchester office, working in Python to help us deliver tools and analysis software for our GPU software projects and teams.
We'd like you to bring passions for software development, the power of working as a team, and personal development and, in return, the team will provide you with mentorship, a collaborative environment for you to grow your career, and exposure to technology that will be the foundation for innovative products for years to come!About the role
Our team uses Python, data science and other technologies to create a suite of tools and services used internally by our 100+ software engineering team. Our engineers use this to understand the quality of the GPU software products they are developing and testing. In joining this team you'll get exposure to graphics programming, operating systems such as Android and Linux, automation, continuous integration and DevOps.
We work alongside other software teams, in multiple countries and continents, who are building features into the driver software that helps make Mali GPU's the #1 shipping GPU in the entire world!
Your role will be to collaborate and grow with us as a peer in the team. You'll learn about new technologies we're developing, contribute code implementing new features into our deliveries, review your peer's code and improve our automation and testing infrastructures.About Software at Arm
The software engineering teams at Arm play a meaningful role in the complete lifecycle of Arm's products. They enable early architectural exploration in collaboration with our Architect teams, they provide crucial deliveries that support the development of our hardware products, and they build tools, drivers and services, that enable our customers to create technology that empowers the world.
Software in Arm today is developed using modern, industry-standard tools and techniques. We value the art of great code-reviews (and reviewers), get excited by testing early and frequently with the use of automated continuous integration tools and take joy when our teams pull together and achieve success through delivering in sprints.Job Requirements
EssentialSkills&Qualities
Ideally 1-2 years of experience working in the field of Data Science/Phd in the fields related to data science
A Bachelors/Masters degree in a field related to data science.
A creative and structured approach to problem-solving
Hands-on experience coding in Python, or very strong skills in at least one other language and an ability to learn quickly.
Demonstrable professional data analysis project experience.
Exposure to data analysis techniques and tools.
A strong will and eagerness for learning and self-improvementUseful skills and experience
Any of the following skills would help you progress quicker, however we will invest our time in developing these skills in you if you don't have them yet:
Experience with Data Analytics tools such as Pandas, Numpy and Elasticsearch.
Experience with dashboard and charting tools such as Grafana, Tableau and Matplot, plotly.
A passion for testing, software development and automation
Experience with Linux, scripting and source control systems (e.g. Git, Subversion).
Exposure of modern software development concepts (e.g. Continuous Integration, iterative development)
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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