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Decisioning Scientist - PEGA, NBA Propositions

Harvey Nash
Posted 2 days ago, valid for 7 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A leading bank is seeking a Decisioning Scientist with PEGA and NBA Propositions experience for a fully remote position in the UK, inside IR35.
  • Candidates should have a degree in a numerate discipline or equivalent practical experience, along with hands-on experience with Pega or similar decisioning capabilities.
  • The role involves building relationships with stakeholders, delivering NBA propositions, and utilizing analytical tools to optimize customer contact strategies.
  • Applicants should have good stakeholder management skills, experience in data analysis, and the ability to articulate business questions using statistical techniques.
  • The position offers a competitive salary, and candidates are expected to have relevant experience in decisioning capabilities and analytical environments.

Decisioning Scientist - PEGA, NBA Propositions sought by leading bank based fully remote.

**Inside IR35 - Fully remote (UK Only)**

Key Responsibilities

  • Build strong relationships with stakeholders and work collaboratively to define and deploy a range of Next Best Action (NBA) propositions within our decisioning capability
  • Partner with the relevant business area, using data to optimise the customer contact strategy and maintain a positive working relationship
  • Deliver NBA propositions across the full life cycle of development (opportunity analysis, design, implementation, execution and evaluation

Knowledge and Experience

  • Educated to degree level in a numerate discipline or equivalent practical experience in an analysis related field
  • Hands on experience with Pega (or an equivalent decisioning capability)
  • Good understanding of analytical/ database querying software, data visualisation software, big data environments and/ or using cloud environments for analysis for customer propositions
  • Awareness of the Adobe Web Analytics Toolset
  • Experience of articulating and translating business questions using statistical or analytical techniques
  • Good stakeholder management skills and an effective communicator, both verbal and written
  • Experience of managing risks

Accountabilities

  • Provide a high quality customer decisioning capability supporting the end to end development cycle delivering timely, tailored and personalised content in any channel
  • Explore data within a range of analytical tools (e.g. SAS / SQL ) and undertake insight analysis to identify and design high impact NBA customer propositions
  • Perform data extraction, storage, manipulation, processing and analysis and manages multiple deliveries concurrently
  • Understand and review the performance of NBA propositions and make recommendations and refinements to improve the customer contact solution
  • Build and deploy NBA propositions into live customer facing channel environments through our decisioning capability
  • Work collaboratively with stakeholders to ensure requirements map to the technical design
  • Consistently display behaviours which give clarity on how we should approach our jobs and support each other to reach our full potential

Please apply within for further details or call on

Alex Reeder

Harvey Nash Finance & Banking

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.