GBG Plc

Data Scientist

GBG Plc

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoGoogle Cloud PlatformPandasPythonScikit-LearnSQLTableau

About the role

  • Lead transformation of manual customer evaluation processes into automated, data-driven insights to accelerate deal velocity and enhance product intelligence.
  • Own and optimize manual analysis processes currently managed by Sales Engineering.
  • Translate customer evaluation data into compelling insights and ROI narratives.
  • Develop standardized frameworks to quantify business impact across industries.
  • Create automated reporting for prospect presentations and internal visibility.
  • Build scalable analytical workflows to replace time-intensive manual tasks.
  • Design templated frameworks adaptable to various customer profiles.
  • Implement quality assurance mechanisms to ensure accuracy and consistency.
  • Create processes that scale with organizational growth and complexity.
  • Aggregate insights across evaluations to identify market trends and opportunities.
  • Build feedback mechanisms to inform Product roadmap and enhancements.
  • Develop benchmarking capabilities to contextualize customer performance.
  • Present data-driven recommendations for product improvement.
  • Collaborate cross-functionally with Sales Engineering, Product, and Customer teams.
  • Contribute to Presales and Professional Services efforts delivering implementation, configuration, and optimization of identity verification and fraud prevention solutions.
  • Travel for team collaboration, process workshops, and stakeholder meetings (estimated 20-25%).

Requirements

  • Proficient experience in data science, analytics, or process automation.
  • Proficiency in Python/R, SQL, and statistical libraries (e.g., pandas, scikit-learn).
  • Experience with data visualization tools (Tableau, Power BI, QuickSight).
  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern data stack tools.
  • Strong understanding of B2B sales processes and customer evaluation methodologies.
  • Experience translating technical findings into business value and ROI frameworks.
  • Ability to create compelling presentations for technical and non-technical audiences.
  • Knowledge of financial modelling and value proposition storytelling.
  • Self-starter with a proactive mindset and ownership mentality.
  • Effective communicator across cross-functional teams.
  • Experience in customer-facing roles (e.g., sales engineering, technical consulting).
  • Ability to work independently while building scalable solutions for the broader team.