Data Scientist (Operational Domain Intelligence)

Oxa enables transition to self-driving vehicles, focusing on autonomous shuttling of goods and people, with advanced AI solutions.
Data
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
AI · Automotive

Description For Data Scientist (Operational Domain Intelligence)

Oxa is a pioneering company in autonomous vehicle technology, founded in 2014 and based in Oxford with offices in Canada and the U.S. With over 350 employees ('Oxbots'), the company has raised $225 million from investors, including a $140 million Series C round in 2023. They develop solutions like Oxa Driver for self-driving functionality, Oxa MetaDriver using Generative AI, and Oxa Hub for autonomous fleet management.

The role is within the Oxa Foundry team, which combines generative AI, digital twins, and simulation to accelerate machine learning and testing of self-driving technology. The team is responsible for ensuring the company has sufficient quality data from various sources to improve their tools continuously. They work on innovative solutions for commercial fleet insurance and risk management.

As a Data Scientist, you'll be instrumental in developing state-of-the-art pipelines for deployment domain analysis, route feasibility, and data coverage analysis. You'll work with foundational models, handle data interpretation and governance, and contribute to creating data tools that support the company's development and commercial requirements.

The position offers a comprehensive benefits package, including competitive salary, company shares, flexible work arrangements, and extensive healthcare coverage. Oxa promotes an inclusive culture that values diversity and innovation, making it an ideal place for those passionate about autonomous technology and data science to make a significant impact in the future of mobility.

Last updated 3 months ago

Responsibilities For Data Scientist (Operational Domain Intelligence)

  • Research and develop state of art pipelines for analyzing deployment domains, route feasibility checks, and data coverage analysis
  • Research and development with foundational models for data generation and understanding
  • Data interpretation, data governance, and creating dashboards for metrics management
  • Contribute to data tools creation for system development, testing, and commercial requirements
  • Ensure right data availability across technology platform and development processes
  • Work with other teams in creating specialist tooling and processes
  • Keep up with latest advances in computer vision and tracking research

Requirements For Data Scientist (Operational Domain Intelligence)

Python
  • Experience with Machine Learning in a research environment
  • Proficiency in Python software development skills
  • Experience working with LLMs, VLM and other large scale models
  • Solid software engineering design principles
  • Ability to understand technical and commercial requirements
  • Statistical analysis and validation on large datasets

Benefits For Data Scientist (Operational Domain Intelligence)

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Competitive salary with annual review
  • Company share programme
  • Hybrid and flexible work arrangements
  • Private healthcare
  • Life assurance
  • Critical illness cover
  • Income protection
  • Health cash plan with gym discounts
  • £2,000 flexible benefits fund
  • Pension plan
  • 25 days annual leave plus bank holidays
  • Pet-friendly office
  • Safe assigned spaces for team members

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