Business Intelligence & GIS Analyst

Metropolitan Thames Valley
London
11 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Trainee Data Analyst/Support – Training Course

Data Analyst Training Course (Excel, SQL & Power BI)

Senior Machine Learning Engineer

Data Engineer (Automation)

Process & Performance Data Analyst

Please note :- we do not currently offer visa sponsorship.

What’s in it for you?

Our benefits include:-

  • 28 days annual leave plus 8 bank holidays (pro rata for part time) per year
  • 2 volunteering days per year for things like helping out in local communities
  • An additional ‘Beliefs day’ once a year to have an extra a day off
  • Supported family friendly approach with extended parental leave
  • Enhanced pension with matched contributions of up to 9%
  • Option to buy or sell up to 5 days annual leave per year
  • Life assurance cover 3 x your salary
  • Cycle2work scheme
  • Hybrid Working - Dependent on job role and department
  • Health cash plan scheme for your everyday healthcare needs which you can add your family members too
  • Tenancy deposit – interest free loan to help with rental deposits and season Ticket loan
  • Access to extensive learning and training opportunities with Wisebox platform
  • Colleague virtual social platform with our workplace pages where you can keep up to date with the organisational activity and link in with colleagues
  • Career progression across the organisation with our mentoring/coaching programmes, apprenticeships and career planning support
  • Employee Assistance Programme- We are committed to the wellbeing of our colleagues and support this as an organisation

About us

We are committed to developing and implementing or maintaining sustainability initiatives to reduce environmental impact and promote sustainable practices within MTVH.

Learn more about our benefits and organisation by viewing our attached document

Our promise

Here at Metropolitan Thames Valley Housing (MTVH) we want to capture the value that difference brings and are committed to promoting equality, diversity and inclusion. We work collaboratively ‘Serving people better every day’ to educate, support and develop all of our diverse employees and the communities that we serve. We are also part of the disability confident employer scheme.

We want every employee and every customer to feel comfortable enough to be their true self and are working tirelessly in the background to create an environment that encourages our employees to challenge non-inclusive behaviours and to be mindful of their own and other’s wellbeing.

We provide a platform of Network groups for employees to share views, tell us what we’re doing well and recommend improvements. We want to create a real sense of community and a workforce who feel that their opinions are valued. Our Networks groups are:-

  • Gender
  • Ethnicity
  • LGBTQ+
  • Disability

Our core values of Dare, Care and Collaborate demonstrate that we are a people focused business, solving social issues by working together!

We reserve the right to close this vacancy early if a suitable candidate is found so we do encourage you to complete the application as soon as possible to avoid disappointment.

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.