Data Scientist


Data Scientist

Reports to

Development Team Leader



Company Description

At Volo, we’re on a mission to rebuild retail and deliver growth to brands, manufacturers and retailers. We’re capturing data from across the commerce ecosystem and using the latest in machine learning to generate intelligent retail recommendations – what to sell, where to sell it, how much of it you’ll need and the right price to sell it for.

Our company has received significant investment and our growth plans are exciting for anyone interested in the meeting points of cutting edge technology and retail.

Role Description

Are you an individual who is curious by nature and keen to learn with clear passion for a challenge? We are currently expanding our research & development team, focussing on investigating and developing novel techniques to enhance our next-generation product.  We are therefore looking for a Data Scientist who will work on a variety of tasks including data collection and analysis, algorithm development, machine learning and modelling. Great communication skills are essential to effectively work with the research, product, QA and online retail teams, in a modern agile environment (typically scrum or kanban).

We are looking for someone who:

  • Has a strong interest (and proven track record, academic or commercial) in technical problem-solving, and delivering real solutions to real problems
  • Enjoys working in a multi-disciplinary team and fast-moving environment
  • Has good communication skills, enjoys discussing ideas & approaches and is open to new techniques, methods & technologies
  • Is looking for a new challenge to work on a novel & exciting technology/product/service

Key Responsibilities

To co-create and support Volo’s Intelligent Platform including data analytics and autonomous capabilities

  • Creation of modules to support the production of information and insights from data for use by other teams (including software teams)
  • Discerning patterns in data using the relevant analysis methods
  • Develop manual, semi-automated and automated methods to extract information from data
  • Involvement and activity in Volo’s Dev Ops community
  • Participate in the software development lifecycle
  • Work within an agile team on high profile projects
  • Constant learning and innovation; you’ll be open to working with the latest technologies including highly scalable open source solutions
  • Deliver new functionality through projects whilst also handling day-to-day operational issues
  • Delivery of solutions with minimal risk and repeatable process using automation
  • Encouraging a continuous improvement culture

Key Skills and Experience


  • Background as a research engineer/scientist/developer (academic or commercial)
  • Data analysis, visualization and modelling
  • Exposure to algorithm design and machine learning techniques
  • Algorithm tuning, configuration, evaluation and mis-classification analysis
  • Use of relevant software environments/tools and libraries for data research (e.g. Python with pandas, scipy, sk-learn, sk-image or equivalent) with config control (e.g. Mercurial, Git) and test frameworks (e.g. xUnit)
  • Keen desire to learn and adapt in all aspects of the role; from concepts & understanding the data, to programming languages, tools and research techniques


  • Proven track record in data analysis, algorithm design and software implementation
  • Extensive previous experience gained as a research engineer/scientist/developer (combined academic and commercial)
  • Proven track record in application of machine learning techniques
  • Natural Language Processing (text based)
  • Image (or Signal) Processing
  • Experience in full research development lifecycle
  • Java, Scala and/or Spark
  • Python (and relevant data science packages)
  • Experience working in agile
  • Shell Scripting
  • Experience working in a Unix environment
  • Continuous Integration / Delivery
  • Experience in modern databases and queries (e.g. Neo4j, Cypher, SQL, json schemas)

Why work with us

  • Competitive salary plus benefits 
  • 25 days of annual holiday plus your birthday off as well
  • Relaxed dress code
  • An ever-changing growth environment with plenty of opportunity to develop your career

To apply, email