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Automation and Data Science Team Lead

2 months ago

London, Greater London, United Kingdom CDP Full time
About CDP

CDP is a leading non-profit organization that specializes in environmental disclosure and sustainability reporting. Our mission is to drive environmental action by providing a comprehensive dataset on corporate and city action.

Job Purpose and Background

CDP's Scoring team is responsible for developing and delivering training to ensure consistency of scoring, and preparing the final release of the hotly anticipated score releases, including the prestigious "A-list". The Senior Manager – Scoring Automation will lead our Scoring Automation team, strategy and capabilities, researching and pioneering new scoring methodologies, tools and technologies that will continue to increase the reputation of CDP's scores.

Key Responsibilities

  • Lead and Manage the Scoring Automation Team: Oversee all activities, define the functional roadmap for scoring automation, upskill the team, and act as the subject matter expert for coding solutions for complex scoring methodologies.
  • Collaborate with Business Stakeholders: Act as a key internal stakeholder during the 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.
  • Analyze Scoring Tools and Process Efficiencies: 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: Develop and implement 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.
  • Implement NLP Techniques: Lead an exploration into the implementation of NLP techniques to assess open text questionnaire responses, driving reductions in the overall time and cost to score responses.
  • Integrate Scoring Techniques into Future Technology Platform Roadmaps: Work with the Product team to integrate new scoring techniques, tools and methodologies into future technology platform roadmaps.
  • Develop and Maintain Statistical Processes: 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: 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.

Requirements

  • Academic or Professional Background in Data Science/Analysis: Previous exposure to environmental topics is beneficial.
  • Excellent Technical Data Skills: 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) are beneficial.
  • Familiarity with Object-Oriented Programming: Familiarity with object-oriented programming.
  • Practical Knowledge and Experience with NLP, Generative AI and LLMs: Practical knowledge and experience with NLP, Generative AI and LLMs.
  • Excellent Data Analysis Skills in Excel: Excellent data analysis skills in Excel (familiar working with large datasets, pivot tables and visualisation).
  • Line Management Experience: Line management experience, including the ability to motivate, support and enable.
  • Proven Experience Delivering Multi-Faceted Projects: Proven experience delivering multi-faceted projects to strict deadlines and budget.
  • Excellent Relationship Building Skills: Excellent relationship building skills, including the ability to manage expectations and find solutions.