ECS Resource Group
Principal Data Scientist / Principal ML Consultant

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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.
Reasons to use Rodeo
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?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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