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Scientist - Harvey Nash

This role is for a "Decisioning Scientist - PEGA" with a contract length of "Inside IR35", offering a pay rate of "unknown", fully remote (UK only). Key skills include "Pega", "SAS", "SQL", and "data visualisation". A degree in a numerate discipline is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Inside IR35
🔒 - Security clearance
Unknown
📍 - Location detailed
London, England, United Kingdom
🧠 - Skills detailed
#Data Extraction #Big Data #Database Querying #Strategy #"ETL (Extract #Transform #Load)" #SAS #Data Visualisation #Cloud #Pega #Storage #SQL (Structured Query Language)
Role description
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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 07393149627

Alex Reeder

Harvey Nash Finance & Banking