Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Coalville
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Palantir

Data Scientist Python Software - London (IT) / Freelance

Data Scientist

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.