Data Scientist (Operational Domain Intelligence)

Oxa is enabling the transition to self-driving vehicles through an initial focus on the most commercially advanced sector; the autonomous shuttling of goods and people.

We are home to some of the world's leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is being deployed across the UK and the U.S, and we're partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances.

Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in 2014 and is  growing rapidly (350+ ‘Oxbots' to date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023.

Your Team

Oxa Foundry is a suite of tools that combines generative AI, digital twins and simulation to accelerate machine learning and testing of self-driving technology before and during real-world use.Tools within Oxa Foundry are also unlocking new opportunities to launch innovative solutions for industries such as commercial fleet insurance and risk management. Leveraging Oxa's experience of deploying AVs and establishing capabilities to safely scale (by identifying, quantifying and managing route risk with limited or no pre-existing data), we are helping organisations in those markets augment and generate new data to develop transformative fleet risk management solutions for their own customers.

Your team will ensure the company has enough data of the right kind and the right time from the right sources to sustain rapid improvement across all its tools. It will ensure suitable data ownership across our own fleet and via our customers and partners using data synthesis and expansion, simulation, automatic annotation and logging where appropriate.

Your Role

• Researching and developing state of the art pipelines for{​{:}} analysing deployment domains, route feasibility checks, domain clustering and classification, representation learning and data coverage analysi
s
• Research and development with foundational models for data generation and understandin
g
• Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics managemen
t
• Contributing to the creation of appropriate data tools that support, amplify, and accelerate our scaling of our system for development, testing, and commercial requirement
s
• Contributing to the effort in making sure the right data is available at the right tim
e
• across our technology platform
,
• for our development processe
s
• for our deployments while in use with customers and partner
s
• Working with other teams and leads in facilitating the creation of specialist tooling and process supporting the company wide data-agenda in both the data team and in specialist team
s
• Keeping up with the latest advances in computer vision and tracking research and applying relevant techniques to Oxa MetaDrive
r

• Contributing to the backlog items that the team manage

• sContributing to regular stand ups, team meetings, and 1-2-1's as part of your rol
  
  

sWhat you need to succeed{​{:

}
• } Experience with Machine Learning in a research environme
n
• t Demonstrate proficiency in Python software development skil
l
• s Experience working with LLMs, VLM and other large scale mode
l
• s Solid software engineering design principles and up-to-date knowledge of Python best practic
e

s
• An ability to understand both technical and commercial requiremen
t
• s Statistical analysis, introspection and validation on large datase
t

s Extra Kudos if you have{​{:

}
• } Experience with efficiently benchmarking and validating synthetic d
a
• ta Machine Learning skills for data amplification and synthe
s
• is Familiarity with cloud platforms, preferably Google Cloud Platform (G
C
• P) Experience with computer vision and robotics. More specifically object detection, tracking and localizat
i
• on Experience in the insurance sec
t
• or Experience with ML
O
• ps Experience working with driving simulators, autonomous driving software, or traffic modell
i
• ng Familiarity with C or
C

++ The Candidate Journey{​{:}}  Multi-Step and Two

-WayNo-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we're a good fit for the other.  If the fit is good and you're selected, you're then in a position to do great work and thrive, which is what everyone want

fitsWe provide{

​
• {:}} Competitive salary, benchmarked against the market and reviewed ann
u
• ally Company share prog
r
• amme Hybrid and/or flexible work arrange
m
• ents Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym disco
u
• nts) A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work ben
e
• fits A salary exchange pension
• plan 25 days' annual leave plus bank hol
i
• days A pet-friendly office enviro
n
• ment Safe assigned spaces for team members with individual and diverse
  n
e

eds Our Cul

ture Diversity is a marathon not a sprint! It is a journey with no destination. We are on a mission to unlock the benefits of self-driving technology to every person and organisation on the planet. We are creating an environment where everyone, from any background, can do their best work which put simply is the right thing to do. We hire and nurture those we can learn from, valuing diversity and the innovation that this dr

ives.We apply a neuro inclusive lens to our recruitment process and want each potential Oxbot to enjoy the best experience possible for them. We promote an open and inclusive culture that empowers our Oxbots to bring their whole, authentic selves to work every day. Oxa is proud to be an inclusive organisation and, as such, we require all team members within our recruitment process to understand and deploy best practices focused on de-biasing the whole recruitment c

ycle.Please share with us any individual needs or reasonable adjustments we may need to make in advance of commencing the interview process wit

h us.Learn more about our culture

here.Why become an Oxb

ot?  Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our ti

mes. But as well as smarts, Oxbots have heart. Our diverse, multi-cultural crew is guided by a shared vision to bring the myriad benefits of autonomy to our customers and partners. And in a company that celebrates uniqueness as much as skill and experience, they do it with energy, conviction and a healthy dose of excitement, t

oo.  If you are bold, creative and hyper skilled, come and create the future of autonomy with us at