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Data Scientist 🔥

We are looking for experienced and inquisitive full-stack Data Scientists who feel comfortable working on a diverse range of projects. Our Data Scientists collaborate with domain experts and work with brilliant Data Engineers at every level of the organisation. We have a large range of diverse data with opportunities for insight at every corner. Our unique business model means that we face unique challenges that require unique solutions. Our Data Scientists at Utility Warehouse are expected to play a leading role and to enjoy solving unique complex data challenges and business problems. This unicity reflects our unique positioning as the UK’s only multiservice utility provider. We are developing a diverse team of talents who each bring their different strengths and approaches to our working community.

What we are working on

  • Our mission with data is to create value and impact for Utility Warehouse through scaling AI and automation across our organisation. For example, we are exploring our ability to drive product growth through machine learning, understanding our customers’ needs and improving customer interactions with UW using natural language processing.
  • We are also using machine learning models in our partners app to help equip our partners with the information they need to expand our customer base.
  • Our exciting AI and machine learning journey is under way and we are looking for motivated individuals to join us.
  • Work on complex and extremely varied data sets, such as energy or broadband usage, to solve real world problems
  • Work on predictive modelling and model evaluation, for example, in acquiring and retaining customers
  • Optimise our product journeys via systematic A/B testing
  • Develop data science products and solutions, such as call transcription and NLP, to help identify and tackle customer issues
  • Write highly optimised code to support Data Engineering on special tasks
  • Investigate causal relationships to judge how operational interventions affect the business
  • Optimally price our propositions in the face of a fast changing market
  • Work in a multi-disciplinary environment with specialists in machine learning, engineering and design
  • Communicate and translate mathematical results into actionable business terms
  • Outstanding academic record in Computer Science, Machine Learning, AppliedStatistics, Mathematics; Masters and PhD are beneficial
  • Experience in statistical modelling and machine learning techniques
  • Programming experience in SQL and at least one scripting language, preferably Python
  • Experience in applying data science methods to business problems
  • Knowledge of causal inference (nice to have)
  • Good presentation and communication skills, with the ability to explain complex analytical concepts to non technical and business colleagues
  • Experience with Cloud (GCP, AWS - nice to have) Experience with Version Control (Git, Github, GitLab)
  • Competitive Salary, Benefits and stock options in a growing FTSE 250 business.
  • Flexible working: We’ve got fully remote teams, onsite, early risers and late-night grinders, and parents on the school run. For us, it matters what we’re working on more than where/when
  • Broad range of learning and training available (coursera courses, product trainings)
  • Access to conferences (e.g. NeurIPS, ICML)
  • Work / Life balance that encourages you to switch off
  • Mentors and teachers aplenty; with so many brilliant minds in one place there is always someone you can lean on for support and guidance
  • Choose your own tools, whether it’s hardware or software you are empowered to choose the tools you need to get your job done
  • 25 days holiday + bank holidays
  • Staff discount on our utility services
  • Our philosophy revolves around getting things done. We deliver with small, fully autonomous teams that have real ownership of their products using a cutting edge stack in a best-idea-wins meritocracy
  • We use the best tool for the job. You’ll have the freedom to explore and trial new tools and methods to see if there is a better option than at present
  • We deploy to Kubernetes across AWS and GCP with some help from Terraform
  • We aim to deploy cutting edge data science
  • We use a range of modern tools such as BigQuery, Looker, Dataform, Hightouch etc. (excluding MS products)
  • Utility Warehouse is an award-winning multi-utility provider, our core offering is simple: all your utilities, one monthly bill. Our network of 45,000 partners adds the human touch to our delivery, helps us get the word out to our existing members and bring in new ones. We may be a FTSE 250 Company but we are far from a corporate monolith, we don't dictate or micromanage, we want our teams to be autonomous, proactive and self-organising. We do love open source and are actively encouraging contributions back to the community. You can check our labs where we maintain fully supported open-source projects at https://github.com/uw-labs [1] and some code in the open repositories at https://github.com/utilitywarehouse [2]
  • We’ve got the culture and focus of the earliest stage startups with the resources and strength of a loved and profitable brand. Our eyes are on meteoric growth over the next few years. All the pieces to make it happen are here, we need you to help us put them together.
  • At Utility Warehouse, we are committed to hiring and cultivating a diverse team. If you are on the fence about whether you would be successful working with us, please apply anyway!

  1. https://github.com/uw-labs
  2. https://github.com/utilitywarehouse

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