IC Resources
Data Scientist – Contract/Permanent

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Data Scientist – Contract/Permanent (UK Hybrid)
I am working with a technology client who is looking for a Data Scientist to join them on a contract or permanent basis.
This role focuses on analysing complex structured and unstructured datasets, building and deploying predictive models, and delivering actionable insights that support data-driven decision-making.
You’ll work closely with engineering and business teams to develop end-to-end machine learning solutions, from data exploration through to model development, evaluation, and deployment support.
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.
Key Technical Requirements
- Strong experience in Python or R for data analysis and modelling
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Strong understanding of statistics, probability, and applied data science methods
- Proficiency in SQL and working with relational and/or NoSQL databases
- Experience with data visualisation tools such as Matplotlib, Seaborn, or Plotly
- Strong analytical thinking and ability to translate data into actionable insights


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Nice To Have
- Experience with big data frameworks such as Spark, Hive, or Hadoop
- Exposure to cloud ML platforms such as AWS SageMaker, GCP AI Platform, or Azure ML
- Experience with Git and ML workflow automation / MLOps practices
- Commercial awareness and experience applying data science to real-world business problems
For more information or to apply, please contact Marcus Coppen at IC Resources.
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Jessica, London
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