Senior Data Scientist

London
Hybrid

Geomiq is a leading Digital Manufacturing Marketplace. An innovative B2B MaaS (Manufacturing as a Service) platform and Artificial Intelligence (AI) powered system that connect buyers and sellers with unprecedented efficiency.

Conventional manufacturing is infamously challenging for companies both big and small. We’re tackling that head on by making reliable manufacturing methods instantly available to engineers all over the world through our digital platform. Empowering every one of our customers to create revolutionary products faster, Geomiq democratises access to transparent & predictable manufacturing.

If you're looking for an exciting role within B2B tech scale-up working with some of the world’s leading brands, space exploration projects, medical advancements and robotics then look no further.

We are Manufacturing the Future

www.geomiq.com

Our Product

A revolutionary platform that completely digitises the existing process of quoting and ordering of custom manufactured parts whilst ensuring the highest operational and quality outcomes. Our main customers are Engineers and Procurement teams building the world’s most innovative products.

Check out the platform here: www.geomiq.com, and view a video of the current version of the platform in action:
https://vimeo.com/536361036

About the Role

We are looking for a Senior Data Scientist to join our high calibre team of data scientists, data engineers and data analysts in order to build greenfield technologies. Data science has a significant impact within the manufacturing industry to overcome legacy bottlenecks and industry wide challenges.

Key Responsibilities:

• Develop novel methods to analyse and predict 3D model part pricing using machine learning based models
• Design and build ML recommendation systems
• Collaborate with development, operations and product teams to understand critical issues and develop novel solutions
• Continuous Improvement - keep abreast of best practices within the industry

What are we looking for?

Experience Required:

• Advanced degree in Computer Science, Applied Mathematics, ideally with expertise in computational geometry, computer graphics, computer vision, or computational simulations of physical systems
• 5+ years working in a commercial setting post academia
• 6+ years of experience in software development in a similar field
• Building and deploying end to end production ready software

Benefits

• Competitive salary
• Stocked Kitchen of snacks, fruit etc
• 23 days annual leave, not including bank holidays
• Extra day off for your birthday
• Monthly Team events
• Culture of internal progression
• Cycle to work scheme
• More to come as we continue to accelerate growth

Department

Data Analytics

Locations

London, UK

Remote status

Hybrid Remote

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