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ECS Resource Group

Principal Data Scientist / Principal ML Consultant

England
Posted about 24 hours ago
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Principal Data Scientist / ML Consultant (Contract)

Duration: 6 Months
Engagement: Full-Time Contract
Working Model: Hybrid (UK-based)
Location: Client site attendance as required
Start Date: ASAP

Overview

We are seeking a hands-on Principal Data Scientist / ML Consultant to lead the delivery of an existing machine learning programme through to a production-grade AWS deployment. This role requires someone who can provide technical leadership, mentor internal teams, and actively build, deploy, and operationalise machine learning solutions.

Key Responsibilities

  • Design and develop predictive models to support commercial decision-making.
  • Utilise AutoML tools (e.g. AutoGluon, H2O AutoML, PyCaret) to accelerate model development.
  • Assess, prepare, and engineer data for modelling.
  • Deploy and operationalise ML solutions within AWS.
  • Implement MLOps practices including monitoring, retraining, and model governance.
  • Provide technical leadership and knowledge transfer to internal teams.
  • Manage stakeholder communication, providing clear recommendations and updates.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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Essential Skills

  • Strong hands-on Python and machine learning experience.
  • Proven track record delivering ML solutions into production.
  • Experience with AutoML frameworks.
  • Strong understanding of regression, forecasting, and predictive analytics.
  • Data engineering and pipeline development capability.
  • AWS ML deployment experience (e.g. SageMaker, ECS, Lambda).
  • Practical MLOps experience.
  • Excellent stakeholder management and consulting skills.
  • Experience mentoring data science teams.
  • AWS-native ML tooling and cloud architecture experience.
  • Experience delivering data-driven commercial or optimisation solutions.

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Deliverables

  • Production-grade ML solution deployed in AWS.
  • Established deployment, monitoring, and retraining processes.
  • Knowledge transfer and upskilling of the internal team.
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Skills

Python
Machine Learning
AutoML
AWS SageMaker
MLOps
Predictive Analytics
Data Engineering
Regression
Forecasting
Stakeholder Management
Technical Leadership
Mentoring
AWS Lambda
AWS ECS
Model Governance
Cloud Architecture

Location

England, United Kingdom

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