Data Scientist at Trust Payments

  • Europe Only
  • Trust Payments
Job Description:

This role will suit a candidate with a high analytical-technical savviness proven by work experience.

The chosen candidate will be tasked with creating and improving innovative data products focusing on complex challenges and pioneering analytical approaches including tools and algorithms.

The work will include traditional modelling as well as machine learning where applicable. You will be expected to exploit new data sources such as loyalty, digital and basket data for commercial purposes across our proprietary and partner product sets.

Main Responsibilities:

  • Participate in building the Data Science function within Trust Payments
  • Identify, analyse, and interpret trends and patterns in complex data sets
  • Exploit opportunities to build new data-driven products and services
  • Work alongside payments, loyalty, web and retail products, to look at data patterns and build customer strategy for monetising that data and connecting with other payment products
  • Contribute to a community for data science within the business, upskilling the overall team and creating a data-native mindset and culture
  • Collaborate with Data Engineering, Automation and Software Development experts

Essential Experience:

  • Analytical-technical savviness
  • Minimum of 2 years demonstrated experience in analytical roles, including machine learning using Python and SQL
  • Ability to translate complex mathematical concepts into clear business language

Desirable Experience:

  • Experience in retail analytics
  • Experience in cloud architecture, for example, AWS SageMaker, AWS ETL/ELT processes and OLAP databases
  • Familiarity with BI software, e.g. QuickSight, PowerBI, Tableau
  • Experience in financial services, ideally payments (gateways, acquiring and processing)
  • Proven track record of proactively identifying and creating value in data

Company Benefits

  • Generous Holiday Allowance
  • Flexible working
  • Family Friendly Policies
  • One Trust weekly events
  • Healthcare
  • Life Assurance
  • Social Events
  • Birthday and Work Anniversary Celebrations
  • Health and Wellbeing Policies

Interview Process

  • Screening call with Talent Acquisition.
  • Hiring Manager Interview
  • Technical Interview
  • Offer!

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