• Location
    • London
  • Date Posted
  • 18 Mar 2020
  • Function
  • Data Science
  • Sector
  • Retail

We are notonthehighstreet. Home to over 5000 of the UK’s best small creative businesses, we have been changing the online retail landscape since 2006. Whether you’re working with our Partners to help grow their business, or behind the scenes developing code, we are continuously innovating & working on some really cool stuff all at the same time. And the best bit? We’re making a difference to our Partners’ lives as we do it.

As our Data Scientist, you will work closely with a cross-functional team composed of technical, creative, business development, user experience and marketing professionals following strong Agile principles.

We are a small data science team but we are charged with solving interesting problems across an array of domains. Primarily focussing on performance marketing we tackle challenges relating to better personalisation for customer communications, improving how we allocate marketing spend and how we ensure that NOTHS is relevant and authoritative for the areas it operates in.

Some of the Things You’ll Be Doing

  • Working closely with our performance marketing teams to make our marketing spend more efficient and optimise how we communicate effectively with our customers
  • Gather requirements from non-technical stakeholders and map these to machine learning solutions where appropriate
  • Using quick heuristics to determine whether problems are large enough to be worth solving
  • Rapidly prototype solutions
  • Working with data engineers to create stable, repeatable, scalable ML pipelines.
  • Communicate complex solutions in a clear, understandable way to non-experts
  • Promote data science across the business

What we need…

  • You will be an experienced Data Scientist with expertise in machine learning and the mathematical knowledge required to build suitable models that learn from our large data sets
  • You have a pragmatic approach to delivering algorithms that strike a balance of speed of solution delivery and effectiveness of the approach
  • Becoming part of a diverse team, it's essential that you have excellent communication skills, are well organised, detailed and accurate, can work quickly to tight deadlines and have the ability to collaborate with junior or non-analytical or technical members of the wider notonthehighstreet team

…and some other key skills & experience you’ll need

  • A strong numerical degree and a good understanding of statistical and/or probabilistic techniques
  • The ability to use your knowledge to tackle specific business problems
  • Expertise in at least one specific machine learning area (e.g. text mining, recommender systems, pattern recognition, regression models, probabilistic models, etc.)
  • You will be proficient in python for data science. Comfortable extending your array of skills working with the data science libraries to tackle a diverse array of problems
  • You’ll be an AWS native, used to working with tools in the cloud and with the basic ability to stand up and evaluate new tools and use them to generate value
  • You will have experience manipulation data, tuning algorithms and visualising the results and be comfortable writing code which is designed to be reusable, testable and automatically deployable
  • A background or strong understanding of marketplaces or ecommerce businesses would be advantageous but is not required
  • A familiarity with performance marketing including knowledge of bid optimisation, CLTV, Churn and associated domains would be advantageous

Our perks

It’s important to us that our people are well looked after, which is why we offer everyone BUPA healthcare, life insurance and a pension plan. Because having a break is important for your physical and mental wellbeing, our holiday allowance is 25 days (plus bank holidays) AND your entitlement will increase an extra day for every 2 years you spend with us.

Add in our in-office massages, yoga sessions or the abundance of free fruit, you can see that we want our people to feel good inside and out.