Machine Learning Scientist - 100% Remote

About you

You’re an experienced Machine Learning Scientist with great Python skills who always keeps up to date with the latest advancements and releases in the Machine Learning space. You should be comfortable leading projects and managing your own time within them. You love sharing knowledge with the rest of your team and can communicate all things ML to the wider business.

About the role

You will join our small, but growing machine learning team at Cazana. This role requires someone with experience designing machine learning models production-ready to compliment our current team's knowledge and skillset. You will be given space and autonomy to experiment and deliver the best possible models to support the business needs. We have available many years of data in various forms that are still yet to be used to create new models.

About us

Using big data and predictive analytics, Cazana analyses millions of automotive transactions daily to assess the value and risk associated with every vehicle on the road, enabling more accurate valuation and pricing in vehicle purchasing and insuring. We aim to make the car market (across all its service lines) fairer through a wholesale modernisation in its approach to pricing.

Founded in 2013, we are disrupting an industry which has typically been associated with mistrust due to the lack of accurate data. We use innovative AI and data-science driven modelling in a sector that can feel dated and we have developed the industry’s first real-time retail-driven valuations. Our systems are used by insurers, dealerships, finance companies and manufacturers globally.

Our mission is to set the world standard in automotive data. We create a fairer market for all by embedding unique data and accurate insight into automotive businesses globally:

Fairer to insurers: Avoid fraud. Price every policy correctly

Fairer to policyholders: Pay the right premium. Have claims settled fairly and fast.

Fairer to the planet: Make electric vehicles and new fuel types accessible to all with accurate future values enabling finance and subscription business models

Fairer to lenders: Lend based on fact, not anecdotes to reduce risk.

Fairer to dealers: Stock the right vehicles. Achieve a fair price for them all.

Role and responsibilities

Improve and maintain the current generations of models in the company

Design the next generation strategy for the models

Lead machine learning projects

Mentor other team members

Collaborate directly with key stakeholders across various business areas

What do you get (remuneration & benefits)?

Competitive base salary (disclosed at first stage screening)

All the equipment you need to get the job done

The ability to work where and when you want in order to get the job done (remote and flexible working welcome)

A central London office and meeting space to use when you need it

Access to free counselling, therapy and mental health support via Spill

Access to free personal/ professional coaching via a trained internal coach

Cycle to work scheme

25 days holiday, all bank holidays off and any period of closure over Christmas also paid.

Learning and training supported

Ability to make your mark on a fast-growing start-up that is disrupting a huge (£34Bn annual) industry.

The skills, attributes and experience you must have:

BSc in Computer Science, Mathematics or similar field. A Masters or PhD degree is a plus.

Proven experience as a Machine Learning Scientist or similar

Experience designing models for production environments

Ability to write robust code in Python

Deep knowledge of machine learning algorithms, libraries and frameworks

Autonomous; you can come in and have the experience and skill set to hit the ground running

A track record of being able to effectively measure the success or failure of the features you create

A high level of attention to detail

Outstanding problem solving and analytical skills

Experience working with stakeholders across various business areas

Skills, attributes and experience it would be nice for you to have:

Experience deploying models after its design

Experience working with cloud computing environments like AWS

Our application process:

We want to make sure we hire the best available talent! We had a fantastic 2020 with all of our hires hitting the ground running. We are excited to do the same in 2021.

Every role is crucial to us at this stage of our growth. We are improving and evolving our recruitment and application process on a monthly basis. We are trying to remove any bias from our recruitment process, this is an on-going issue in the recruitment function for companies of all sizes.

To help achieve this we have refined our application form that you will find when you click 'Apply for this job'. The answers to the questions are the difference between your application being progressed or not so please do give them your time and effort when answering. The first thing our Talent Partner will review is these questions (we may not even need to review your CV depending on your answers). Good luck with your application and thank you in advance for your interest in joining us at Cazana.