Data Scientist

Leicester
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

Data Analyst
SQL / Python & PowerBI Dashboards essential
£21 - £21.50 FCSA Umbrella (inside IR35)
£15.60 - £16.00 paye
Nr to Leicester (around 15-20 mins from J21 Leicester Forest Junction M1)
Some Hybrid working available (Min 3 days pw in office)

May also suit Business Analyst with the correct software packages
 
We are currently looking for data analyst with good solid data platform knowledge – Python, R, SQL, Combined with Dashboard Creation in Power BI, Tableau or Alteryx & Strong Excel skills
Do you have experience of category data administration, Data / Process analysis & automation, confident using Excel & associated Programs
Are you able to develop intuitive dashboards & programs to aid automation & user efficiency?

We have an opportunity with a local company who are looking to source a person for a long term contract opportunity (min 12 months)
We require a Data Analyst.
 
The responsibilities and tasks for this job include the data analysis for all locations throughout this global business.
You will provide analysis and input of the data, whilst verifying the results in question and providing process improvements through automation when needed.
If you feel you can cover most of the below bullet point and can demonstrate experience of the opening points of this description we would love to hear from you.
Candidates will have gained the following skills and experience through previous roles:

Responsibilities

Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Relevant experience of working within a data critical environment
An undergraduate degree from a college or university, or equivalent experience.
Confidence in creating reports, & updating databases within MS Excel, MS Access
Support analysis of data, business process, then development of standard work, automation of data flows and understanding stakeholder
Extensive experience of creating dashboards using most of the following - power bi, power app, power automate, Alteryx, Tableau software, Snowflake databases  & Strong Excel skills 
To £21.50 FCSA Umbrella (this role is deemed inside IR35) to £16.00 paye
 
Required Hours 8.00am – 4.45pm Mon Thurs, earlier finish Friday
 
Please apply for further details

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.