Senior Manager – Scoring Automation

Role Overview

• Lead and manage the Scoring Automation team, overseeing all activities, defining the functional roadmap for scoring automation, upskilling the team and acting as the subject matter expert for coding solutions for complex methodologies
• Act as a key internal stakeholder during development of CDP’s questionnaires and associated scoring methodologies, working with business stakeholders to drive changes in questionnaire and methodology that enable the most efficient and most ambitious scoring of response data possible
• Carry out analysis of internal scoring tools and process efficiencies to determine functional priorities around future development, as well as aligning these to the development of our tech platform
• Pioneer new data science led scoring techniques, tools and methodologies to enable more insights on scoring methodology performance and suggest suitable changes to directions for scoring
• Work with Product and Innovation teams to integrate new scoring techniques, tools and methodologies into future technology platform roadmaps
• Develop and continuously improve dashboards to support scoring operational activities, as well as conducting further investigation into which KPIs should drive future development and are best predictive of success
• Develop and maintain statistical processes for quality assurance for both manual and automated scoring processes to provide insights into QA confidence and effort required to achieve objectives
• Manage an effective and engaged team, clear on its purpose and contribution, by: Working with the Talent Attraction team to identify and recruit the right talent to the team. Providing focus and direction, through regular 1:1’s, setting clear objectives, providing ongoing, honest feedback, recognition, structured performance and development conversations, and helping with solutions. Ensuring a respectful and inclusive workplace, where team members can communicate openly, share knowledge so it can be used, and respect difference. Helps resolve conflict as appropriate. Living the CDP Values and demonstrating the behaviours appropriate to their position.

Requirements

• Academic or professional background in data science / analysis
• Previous exposure to environmental topics beneficial
• Excellent technical data skills with Python, NumPy / Pandas, SQL, and exposure to data science libraries (Scikit-learn, Tensorflow, Keras, Matplotlib, Seaborn)
• Technical skills with javascript/typescript (React/Node) beneficial
• Familiarity with object-oriented programming
• Practical knowledge and experience with NLP, Generative AI and LLMs.
• Excellent data analysis skills in Excel (familiar working with large datasets, pivot tables and visualisation)
• Line management experience, including the ability to motivate, support and enable
• Proven experience delivering multi-faceted projects to strict deadlines and budget
• Excellent relationship building skills, including the ability to manage expectations and find solutions.

Tech Stack

• JavaScript
• Keras
• Node.js
• Numpy
• Pandas
• Python
• React
• Scikit-Learn
• SQL
• Tensorflow
• TypeScript