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

Apply Now

Maths Teacher

Portsmouth
6 months ago
Applications closed

Related Jobs

View all jobs

Quantitative Analyst

Data Science Consultant – Capital Markets

Junior Data Analyst

Data Analyst Apprenticeship

Data Analyst Apprenticeship

Data Analyst Apprenticeship

Unlock Mathematical Potential in Historic Portsmouth! Full-Time Maths Teacher at Outstanding School (September 2025 Start - KS3, KS4 & KS5)

Are you a dynamic and inspiring Maths teacher eager to cultivate a deep understanding and appreciation for mathematics in young minds? Our Outstanding school in the vibrant maritime city of Portsmouth, Hampshire, is seeking an enthusiastic Full-Time Teacher of Maths to join our thriving department from September 2025. This is an exceptional opportunity to shape the mathematical journeys of students across Key Stage 3, Key Stage 4 (GCSE), and Key Stage 5 (A-Level) within a supportive and ambitious educational environment.

In this rewarding full-time role, you will have the opportunity to:

  • Foster Mathematical Fluency and Problem-Solving: Deliver engaging and effective Maths lessons across all key stages, fostering a robust understanding of core mathematical concepts, advanced problem-solving techniques, and their diverse real-world applications.

  • Inspire Logical Reasoning: Encourage students to think critically, develop strong logical arguments, and approach complex mathematical challenges with confidence and creativity.

  • Develop Academic Resilience: Equip students with the resilience and independent learning skills necessary to excel in challenging mathematical contexts, particularly at the demanding A-Level stage.

  • Contribute to a High-Achieving Department: Join a collaborative and innovative Maths department renowned for its excellent student outcomes and commitment to continuous professional development.

  • Thrive in a Unique City: Engage with students from a diverse range of backgrounds in Portsmouth, exploring how mathematics underpins everything from engineering and naval architecture to data science and finance, reflecting the city's rich heritage and modern industries.

  • Shape Future Innovators: Play a pivotal role in guiding A-Level students towards further study and successful careers in STEM fields, finance, and beyond.

    We are seeking a highly motivated and qualified Maths teacher with a strong understanding of the Key Stage 3, GCSE, and A-Level Maths curricula (including a desire to teach Further Maths where applicable). A proven ability to deliver exceptional lessons that ignite a passion for mathematics is essential. If you are ready to make a significant contribution to our outstanding team in Portsmouth across all key stages, we strongly encourage you to apply for a September 2025 start.

    Navigate the world of numbers with us in Portsmouth – join our dedicated team for a September 2025 start, including A-Level teaching

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.