National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Homes England Apprenticeship Programme 2025 - Associate Data Scientist

Getting In Limited
London
3 weeks ago
Create job alert

What do you want to search? Keyword Apprenticeship Type Location

Homes England Apprenticeship Programme 2025 - Associate Data Scientist

Homes England Apprenticeship Programme 2025 - Associate Data Scientist,Apply From:29/06/2025Learning ProviderDelivered by NORTHEASTERN UNIVERSITY-LONDONEmployerHomes EnglandVacancy Description

Essential Criteria
•Either a degree in a maths or science subject, or demonstrable experience in statistics, data and analysis

•You will have a good understanding of statistics, such as distributions, hypothesis testing and regression.

•Experience of or a willingness to learn coding languages, particularly sql and Python (including core data analysis libraries such as Pandas and NumPy).

•Experience creating engaging data narratives and visualisations to tell a story

•A curiosity around data, and desire to understand its completeness, quality, usability, and applicability to a business or policy area.

•A strong interest in continued learning, and the willingness to do this independently.

Desirable Criteria
•Understanding on the importance of data understanding, data cleansing, data manipulation and data translation

•An interest in the worlds of AI and machine learning

•A dedication to the process of review and testing your ideas and your work (we use Git + Azure Dev Ops).

•A broad understanding of or interest in databases, data connectivity and APIs

•An appetite to learn about the housing and regeneration policy areas and industrial sectors, and how data can be used to deliver the Government’s missions in these areas.

Key DetailsVacancy TitleHomes England Apprenticeship Programme 2025 - Associate Data ScientistEmployer DescriptionHomes England : The Housing and Regeneration AgencyWe believe that affordable, quality homes in well-designed places are key to improving people’s lives. As the government’s housing and regeneration agency, we create thriving new places and transform urban areas, combining the full breadth of our powers, expertise, land, capital and influence to bring investment to communities and get more homes built.How? We form long-term partnerships that bridge the gap between the public and private sector to meet local needs and aspirations. We use our influence to champion the creation of sustainable homes, communities and places that are brilliantly designed for the people that live there now, and in the future. And we use our funding and support to build a more resilient, diverse and innovative housing sector, helping new entrants in the market, encouraging modern methods of construction and design, and promoting the utmost attention to building safety.Together with our partners, we’re accelerating the pace of house building, remediation and regeneration across the country, as we seek to deliver ever more affordable homes in places people are proud to call home for generations to come.Vacancy Location3 Arena Central Bridge Street B1 2AXWage FrequencyCustomNumber of Vacancies1Vacancy Reference Number1000328444Key DatesApply From29/06/2025Closing Date For Applications2025-07-10 23:59:59Interview Begin FromPossible Start Date2025-09-15 00:00:00TrainingTraining to be Provided

You are resilient, self-motivated and comfortable diving into data environments, as well as learning coding techniques and languages such as Python. You will learn to apply your ideas and skills to supporting business delivery. You enjoy working in an innovative and engaging way while delivering high-quality data solutions.

We’re looking for people with a strong background in maths or data analysis, who are looking to move into Data Science. Note that individuals with a background or qualification directly in data science are unlikely to be eligible for the apprenticeship.

The solutions we deliver should be reusable and scalable with a focus on consistency and maintainability. You will be able to review existing data science projects and improve them while thinking about resilience, efficiency and performance. As part of this you should have a desire to learn and explore new technologies.

As an experienced Digital professional, you’ll understand how to manage relationships with colleagues and be able to demonstrate you can work with others as part of a team in a collaborative, inclusive way.

We are looking for the next generation of professionals to help us in key skills shortage areas. You will be an innovator who will bring fresh ideas, be commercially minded, a problem solver and a strong relationship builder. You will strive for excellence, embrace change and be curious about future possibilities.

You will be motivated to make a difference and share and be passionate about our vision to effectively drive regeneration and housing delivery to create high-quality and home and thriving places. You’ll be pro-active about your own development.

Learning ProviderNORTHEASTERN UNIVERSITY-LONDONContact DetailsRecruitment Team Vacancy Type:Skills Required

Communication skillsIT skillsAttention to detailOrganisation skillsProblem solving skillsAdministrative skillsNumber skillsAnalytical skillsLogicalTeam workingCreativeInitiativePatience

Apply Now
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst

Data Scientist

Senior Data Analyst - Fixed-Term Contract (12 months)

Senior Data Analyst - Fixed-Term Contract (12 months)

Senior Business Intelligence Analyst - Digital and Engagement, CHM

Data Scientist (Fraud)

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.