Senior Data Scientist | zeroG – AI in Aviation

zeroG - AI in Aviation

Job Title: Senior Data Scientist
Employer: zeroG – AI in Aviation
Location: London, United Kingdom
Employment Type: Permanent
Reference Number: 10826_4944e19fdb7cc1202795006833d36722


Job Details:

Who we are

We are a highly ambitious team; focused and truly collaborative. We empower people to take ownership through meaningful and impactful work. We exist to help people and the planet, it’s a big statement but one you’ll wear with pride.

Raylo is here to change how people get their tech for good. That means giving them access to the products they really want, but doing so in a responsible, sustainable way.

We provide Seamless Circularity, where every device gets an extended life through our automatic, effortless cycle of refurb, reuse and recycle.

Our secret sauce is leasing. By providing a subscription alternative, we’re cracking open a staid old market and bringing real change to consumers and the environment. Less waste, better value. We’re serious – we want to lead the change in consumption of consumer technology.

Life at Raylo

• We are an organically collaborative and dynamic team

• We embrace innovation, seek out challenges and always aim for excellence

• We take intelligent risks, celebrate our wins, and learn from our mistakes

• We help each other by listening, challenging thought and continually improving

• We live our mission, walk in our customers’ shoes, focus and execute, and are a curious and gritty bunch

What to Expect:

This is a fantastic opportunity for an ambitious Data Scientist to join and set the direction for the data team within a high-growth startup. We’re looking for someone who wants to become the Head of Data Science in the next 2 years with long-term aspirations to become our Chief Data Officer.

We’re an organisation that sees data as a core competitive advantage and already makes use of Machine Learning modelling in the heart of our business, but has now decided that it’s time to supercharge our capabilities. You’ll be the first full-time data team member, focusing on cutting-edge statistical and machine learning techniques to extract business value from our wealth of data.

What you’ll do:

You’ll be joining a team with an initial data stack that’s been put together thoughtfully and for scale. Your challenge will be to grow this infrastructure to support rapid development and deployment of models across our business, while also working cross-functionally to identify data use cases that don’t require sophisticated model builds to deliver step changes in performance. You’ll be Raylo’s go-to data expert, setting the direction for our data platform and organisation at the C-suite and Co-Founder level.

You’ll succeed with

– 5+ years of data science experience, with a minimum of 2 years in machine learning modelling (essential)

– Experience building and deploying machine learning models, using both large and small datasets

– A genuine interest in modern developments in the field of statistical modelling and machine learning

– Python skills and/or other data pipelining and data engineering experience

Nice to haves (but not essential)

– Experience in SQL and data warehousing platforms (Snowflake, GCP)

– Experience with BI tools (Looker, Tableau, PowerBI)

– Experience with data engineering products (Fivetran, Keboola, DBT, Airflow)

– Startup/Scaleup or Fintech experience

We’re not looking for you to meet every point on this job description, please still get in touch if you think you could add value and do your best work here at Raylo. We’d love to have a chat and see if you could be a great fit.

Opportunities & Benefits

Your chance to make an impact.We want what you can bring – what makes you special. Through trust, collaboration and autonomy, you can have an impact right from the off.

Be part of the change. You will join one of the fastest growing fintech startups, backed by Octopus Ventures, Macquarie and Telefónica, where you can change how people get their tech for good

Other benefits include;

• 33 days holiday per year(25 days, + an extra 8 days to choose the days that mean most to you)

• Stock options – get a real stake in Raylo’s growth

• Hybrid working environment

• Enhanced maternity and paternity leave

• Workplace nursery scheme

• Perkbox membership – hundreds of perks and discounts to support physical, financial and mental wellbeing

• To do your best work, we’ll give you a laptop and a Raylo phone

• Udemy Business corporate subscription – access to 15,000+ courses covering business, tech, and wellness skills

• Learning budget – we care deeply about investing in your long-term career growth and potential

• Free sustainable breakfast and snacks, every day you’re in the office

• Fun (yet optional) Raylo quarterly socials, plus summer and Christmas parties

Diversity Statement

Raylo is an equal opportunities employer and we are committed to building a diverse and inclusive work environment where we learn from each other. We welcome people of diverse backgrounds, experiences, abilities and perspectives and believe it adds value to our organisation. Working at Raylo is super fun and we’d love to tell you more about it.



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