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Data Science engineer (Remote)

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Data Science engineer (Remote)
Data Science engineer (Remote)
Location: Remote (Work from Anywhere) Job Type: Contract Compensation: Competitive, based on experience
Overview
We are hiring a Data Science engineer for one of our clients, on a contract basis. The role involves designing, building, and deploying machine learning models and data pipelines to support scalable AI solutions, collaborating with cross-functional teams to translate business needs into technical implementations.
Key Responsibilities
- Develop and maintain production-grade data science models using Python and relevant frameworks
- Design and implement data pipelines to process large-scale datasets for training and inference
- Collaborate with software engineers to integrate models into production systems and APIs
- Optimise models for performance, scalability, and cost-efficiency in cloud environments (AWS, GCP, or Azure)
- Conduct rigorous testing and validation for model accuracy, reliability, and compliance
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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.
Required Skills & Qualifications
- Proficiency in Python with experience in:
- Data science libraries (NumPy, Pandas, Scikit-learn)
- Machine learning frameworks (TensorFlow, PyTorch)
- Strong background in:
- Statistical modeling (regression, classification, clustering)
- Big data tools (Spark, Hadoop)
- Experience with:
- SQL and database systems for data extraction and transformation
- Version control (Git)
- MLOps practices (model deployment and monitoring)
- Ability to deliver clean, maintainable, and well-documented code


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Opportunity Highlights
- Work with a global leader in Technology, Information, and Internet to build cutting-edge AI solutions
- Solve complex data challenges in a collaborative, remote-first environment
Remuneration
Competitive contract-based payout, adjusted to experience level.
Inclusivity Statement
We are an equal opportunity employer—every qualifying candidate is considered regardless of background, experience, or prior employment history. All reviews are based solely on demonstrated technical ability.
Apply Now!
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