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Opus Recruitment Solutions

Senior Data Scientist

Opus Recruitment Solutions London
60,000 to 80,000
32 - 40 hour


Show Recently closed jobs

    Opus Recruitment Solutions

    Senior Data Scientist

    Opus Recruitment Solutions London
    60,000 to 80,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £60,000 to £80,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Senior Data Scientist | Python ML | AUC-ROC | Dataiku | BigQuery | EducationTech | Remote, London | £80k
     
    Looking to help shape Data Strategy for a scaling Tech-for-Good business?
     
    I'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.
     
    They 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.
     
    They are looking for a Senior Data Scientist to lead the predictive analytics capability and their critical programme.
     
    You’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.
     
    You’ll be the senior technical lead for ML research, shaping modelling strategy and ensuring outputs are robust, explainable and production‑ready.
     
    Core Responsibilities:

    Predictive Model Development: Build and validate supervised learning models (classification & regression) using complex, multi‑source, time‑series‑influenced data.
    Feature Engineering: Design scalable feature pipelines across attendance, behaviour, wellbeing, assessment and SEND datasets.
    Evaluation & Methodology: Establish rigorous evaluation frameworks including AUC‑ROC, precision/recall, cross‑validation and holdback validation.
    ML Platform Ownership: Use Dataiku for pipeline development, model training and deployment.
    Stakeholder Communication: Present findings clearly to non‑technical audiences such as school leaders and grant reviewers.
    Bias & Fairness Analysis: Ensure models meet fairness, transparency and explainability standards. 
    In return, you’ll get a competitive salary of up to £80k, and very flexible work arrangements across the UK.
     
    Unfortunately we cannot offer sponsorship at this time.
     
    Please contact me at (url removed) to discuss further!
     
    Senior Data Scientist | Python ML | AUC-ROC | Dataiku | BigQuery | EducationTech | Remote, London | £80k
    Salary description

    £60000.00 - £80000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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