Data Scientist/Engineer

  • Technology
  • Remote job

Data Scientist/Engineer

Job description

About us:

The App Nest is a product business. We’re a team obsessed with creating incredible experiences for our fashion audience, partners and influencers.

What we’re building.

We’re working hard to disrupt the fashion industry with a mobile platform that incorporates social media, content, e-commerce and gamification, hosting millions of luxury fashion enthusiasts.

The company is funded by a world class investor, we have a leadership team of world renowned industry experts, and are partnered with one of the largest and fastest growing international luxury multi-brand online retailers, as well as a host of A-List fashion influencers.

Our aim is to empower fashion lovers and revolutionise the way that people discover, shop for, talk about and engage with brands.

The role:

All the mechanics, features and functions of our platform deliver data, and although pre-launch, we’re already utilising data to determine hypotheses to test, to support product development, user experience and our technical roadmap. 

The platform is all about discovery, so understanding user behaviour is super important. By understanding the connections between players, branded content, purchase and social shares, we will be able to iterate and innovate in-game journeys to better serve the interests and needs of our audience. 

The role will make for better informed decisions drawn from actionable insights and definitive conclusions drawn from the data we collect. Expect lots of testing, prototyping and professional play.

What’s in it for you?

You’ll be the person to shape and define our data strategy and analytics reporting. Being inquisitive and experimental in the role you’ll have a high level of autonomy and responsibility to assert best practice, whilst working closely with the CTO, DevOps and Head of Product to decide the most suitable tools and techniques to uncover user behaviours and help us deploy the very best product features to our audience. 

Your data reporting will become pivotal to decisions across our business, thus you’ll have extensive exposure to key stakeholders, flying the flag for audience insight and ensuring we map a clear path to high level engagement.

Why will you succeed

Our growth plans are supported by a low structure environment that is high on autonomy. We’re proud of our supportive and focussed working environment, which an emphasis on collaboration, team-working and shared knowledge. It's fast and fun. We’d like you to join our success journey and help us map the way.

A typical week as a Data Scientist might involve;

  • Working with the DevOps team to build infrastructure and architecture for data generation

  • Making sure the right products are in front of the right people, at the right time.

  • Monitoring, analysing, and visualising user data and behaviour

  • Ensuring scalable systems are in place so that data is readily available for anyone in the company to make informed decisions.

  • Using cutting edge data science techniques to discover trends and relations

  • Working closely with the Head of Product to help shape/prioritise the product road-map based on insights from user and market data. (i.e. Which brands are relevant, what are current fashion trends…)

  • Ensuring infrastructure is in place to effectively monitor and analyse our research and development feature experiments in order to determine how they’re received by users


  • Competitive salary

  • Generous options scheme

  • Remote friendly

  • Flexible working hours

  • Family friendly working environment

  • Ride to work scheme

  • Pension

  • Private Medical Insurance

  • Life Assurance

  • 25 days holiday

We are:

Focussed and engaged. Interested in making a difference and getting people to a ‘wow’ moment.

We believe in:

“Productivity over presence’


We’re looking for someone who most essentially has; 

  • Experience with SQL and fluency with relational databases (PostgreSQL, NoSQL)
  • Strong data visualisation skills (Tableau, Kabana, Profana) 
  • Experience taking data requirements from wider areas of the business
  • Experience working with behavioural data and ability to draw insights from it
  • Familiarity with Big Data processing technologies
  • Strong knowledge of Python and relevant frameworks

It’s a bonus if you; 

  • Machine Learning and computer vision experience
  • Understanding of Game Theory


Undergraduate degree