Data Scientist

This role focuses on performing analytics using data science techniques, working with business stakeholders to extract insights from data. It involves communicating with engagement managers and project teams, leading client engagement workstreams for process improvement and optimization, and implementing leading practice workflows. The team is part of AI & Engineering, focused on building and deploying integrated sector solutions powered by engineering for business advantage.

What you'd actually do

  1. Perform analytics using data science techniques; work with the business stakeholders; tell stories from data.
  2. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  3. Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

Skills

Required

  • SQL
  • R
  • Python
  • Tableau
  • Applied Statistical/ML techniques
  • Analytics and Strategy

Nice to have

  • payments/fintech domain
  • ambiguous and complex problems
  • leading organization-wide strategic initiatives or transformative analytics projects
  • Master's degree

What the JD emphasized

  • 6+ years of demonstrated experience in an Analytics and Strategy role
  • Knowledge of and experience in leveraging Applied Statistical/ML techniques
  • Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation