Data Scientist

Desford
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Senior Data Engineer - Anti-Piracy

SC Cleared Databricks Data Engineer - Hybrid - Outside IR35

Data Engineer

Data Engineer

Job Title: Data Scientist
Location: Desford, UK
Rate: £20/hour (Inside IR35)
Commute: 3 days a week in office
Contract: 12 months, likely to extend

We are hiring a Data Scientist for one of our global manufacturing clients. This is an exciting opportunity to join a high-performing team driving innovation in procurement and data analytics.

As a Data Scientist, you will support purchasing operations through the creation of automated dashboards, data pipelines, and real-time reporting tools. You'll use tools like Power BI, PowerApps, Python, and SQL to provide business-critical insights and streamline processes across the organization.

Requirements:

Proficiency in Power BI, PowerApps, SQL, and at least one programming language (e.g., Python or R)
Strong analytical skills and attention to detail
Highly competent user of PowerApps, SharePoint, and Microsoft Office packages
Strong understanding of statistical analysis, and data visualization tools (e.g., Tableau, Power BI).
Ability to present complex data clearly to non-technical stakeholders
This is an urgent vacancy where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ (url removed)

Randstad Technologies is acting as an Employment Business in relation to this vacancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.