Simon James IT Ltd
Data Scientist / Senior Data Scientist / Solution Engineer (12-Month Contract)

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Data Scientist / Senior Data Scientist / Solution Engineer - SC Cleared
12-Month Contract - London, Waterloo | Hybrid
About the Role
We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client.
Key Responsibilities
- Design, build, and deploy scalable machine learning algorithms and software solutions.
- Analyse, cleanse, and normalise complex time-series data and dynamical systems.
- Integrate ML models into production using cloud platforms and modern JavaScript frameworks.
- Collaborate within an Agile environment to deliver robust data structures and algorithms.
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.
What We Are Looking For
To be successful in this role, you will need a blend of the following engineering and data science capabilities:
- Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular).
- Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming).
- Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases.
- Cloud & DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control.
- Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable.
- Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.).


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If you are a hybrid engineer/scientist who thrives on deploying real-world solutions, please apply with your CV and a link to your GitHub or portfolio.
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