Data Scientist

Coalville
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Measurement Specialist

Data Scientist
Coalville (Hybrid working)
£43,001 - £47,779 per annum
Permanent
Full time (35 hours per week)
About us
Emh is one of the largest providers of affordable homes and support services in the East Midlands. We pride ourselves in providing high quality homes and services that contribute to sustainable communities.
Our vision is to be the best social housing and care business in the country, leading the market as service provider and employer.
Our values
Our values are important to us and we’re looking for people who can help live our values of Integrity, Diversity, Openness, Accountability, Clarity and Excellence.
The role
We are really excited to announce that we are recruiting for a Data Scientist to leverage data analytics, drive insights and improve the quality and efficiency of our housing services!
The successful candidate will work closely with various stakeholders to extract, analyse and interpret complex data sets to inform decision-making and policy development.
Reporting to the Insights Manager, you will present complex data using dashboards, visualisations and reports, ensuring accessibility to non-technical stakeholders. You will analyse the effectiveness of housing initiatives, schemes, and operational processes, offering recommendations for performance improvement.
About you
We are looking for a Data Scientist with a good understanding of the social housing sector.
You will have extensive experience of SQL along with experience working with large databases and data warehouses. You’ll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
With a background in data mining and pattern recognition you’ll be an expert in statistical modelling, predictive analytics and regression techniques.
An industry certification in data science or a related field is required.
Company Benefits
Our generous package includes:

  • Competitive salary
  • 34 days’ annual leave (including statutory days), increasing with length of service (pro-rata for part time)
  • Contributory pension scheme
  • Flexible working
  • A wide range of training and development opportunities (we are an Investors in People accredited organisation)
    For further information, please find attached the Job Description.
    We reserve the right depending on application numbers to close or extend the closing dates for positions, we would therefore recommend an early application
    Please note: We do not hold a sponsorship licence and would not be able to support sponsorship on any of our roles

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.