Datatech Analytics
Data Scientist

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Data Scientist
Salary: Competitive up to £80,000 Depending on experience & skills
Location: Hybrid - 3 days per week in the office - Cardiff
Job Reference: J13174
Full UK working rights required - no sponsorship available
The Role
Our client is a global leader in supply chain risk and compliance technology, helping more than 50,000 organisations protect their people, operations and the planet. Their innovative software helps businesses and contractors stay compliant with critical standards across health and safety, sustainability and ethical behaviour.
As a Data Scientist, you'll join a growing, highly skilled team spanning data science, data engineering, AI engineering and DevOps. You'll play a key role in building and deploying machine learning and AI solutions that power business applications and internal processes, helping shape how clients and contractors get to work faster, stay compliant and ultimately come home safely every day.
This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely with Engineering and Product teams in a collaborative Agile environment, turning complex data and technology into solutions that deliver tangible business value.
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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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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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.
The role will include:
- Designing, developing and deploying machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics
- Building and deploying LLM-based solutions for text analytics, anomaly detection and automated compliance checks
- Working with Engineering and Product teams to integrate models into production environments across AWS and Azure
- Using Microsoft Fabric for data ingestion, transformation and feature engineering
- Implementing model monitoring, retraining and performance optimisation
- Translating business requirements into effective technical solutions and communicating outcomes to non-technical stakeholders
- Working collaboratively within a cross-functional Agile environment
- Keeping up to date with emerging developments across AI, machine learning and predictive analytics
- Developing innovative data-driven solutions that improve compliance, safety and business performance
Skills
- Proven commercial experience in Data Science and Machine Learning
- Strong Python and SQL skills
- Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks
- Strong understanding of predictive modelling and machine learning techniques
- Experience with NLP and Large Language Models (LLMs)
- Familiarity with AWS services, including S3, SageMaker and Lambda
- Experience or knowledge of Microsoft Fabric
- Understanding of the machine learning model development and deployment lifecycle
- Strong analytical and problem-solving abilities
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related discipline
- A proactive, curious mindset with a passion for emerging AI and ML technologies


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Datatech is one of the UK's leading recruitment agencies specialising in Analytics, Data Science, AI and Business Intelligence, and host of the critically acclaimed Women in Data® initiative. For more information, visit www.datatech.org.uk.
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