Senior Data Scientist in EC1

Job Description

Senior Data Scientist | Python ML | AUC-ROC | Dataiku | BigQuery | EducationTech | Remote, London | £80k \n \nLooking to help shape Data Strategy for a scaling Tech-for-Good business?\n \nI'm partnered with a AI‑first data and analytics platform built for schools, multi‑academy trusts and education groups. Their technology connects fragmented school data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi‑agent AI system to surface actionable insights for school leaders in seconds.\n \nThey are in a high‑growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The team is mission‑driven, remote‑first, and growing quickly - every hire has very meaningful impact.\n \nThey are looking for a Senior Data Scientist to lead the predictive analytics capability and their critical programme.\n \nYou’ll design feature engineering pipelines, select and validate classification and regression models, and establish rigorous evaluation methodology (targeting AUC‑ROC ≥ 0.85) across a 300M+ point education dataset.\n \nYou’ll be the senior technical lead for ML research, shaping modelling strategy and ensuring outputs are robust, explainable and production‑ready.\n \nCore Responsibilities:\n\nPredictive Model Development: Build and validate supervised learning models (classification & regression) using complex, multi‑source, time‑series‑influenced data.\nFeature Engineering: Design scalable feature pipelines across attendance, behaviour, wellbeing, assessment and SEND datasets.\nEvaluation & Methodology: Establish rigorous evaluation frameworks including AUC‑ROC, precision/recall, cross‑validation and holdback validation.\nML Platform Ownership: Use Dataiku for pipeline development, model training and deployment.\nStakeholder Communication: Present findings clearly to non‑technical audiences such as school leaders and grant reviewers.\nBias & Fairness Analysis: Ensure models meet fairness, transparency and explainability standards. \nIn return, you’ll get a competitive salary of up to £80k, and very flexible work arrangements across the UK.\n \nUnfortunately we cannot offer sponsorship at this time.\n \nPlease contact me at (url removed) to discuss further!\n \nSenior Data Scientist | Python ML | AUC-ROC | Dataiku | BigQuery | EducationTech | Remote, London | £80k