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

Apply Now

Data Analytics / Science Graduate Programme 2026

Admiral Group Plc
Cardiff
1 day ago
Create job alert
Launch Your Career in Data with Admiral – Starting September 2026

Application Deadline: 02/11/2025


Please note: we may close applications early if we receive a high volume of interest.


Location

Hybrid. 1–2 days per week in our Cardiff office. During the initial induction period, you’ll be required to attend 4–5 days a week in person. After this, you’ll move into a flexible hybrid pattern.


Start date

September 2026. You will be required to attend an induction period of 5-weeks in Ty Admiral, Cardiff.


About the Programmes

At Admiral, we believe data is at the heart of innovation and decision‑making. As a FTSE 100 company, we’re offering STEM graduates the chance to join one of our specialist data programmes, designed to give you hands‑on experience, expert training, leading into an exciting career.


We offer two structured 25‑month programmes:


Data Analytics Programme

  • Three placements of eight months each within our Data Community.
  • Work with diverse datasets, uncover insights, and turn raw data into meaningful solutions that shape strategy across the business.
  • Flexible placements mean you can tailor your journey to your interests and career ambitions.

Data Science Programme

  • Year one: building a strong foundations in data analytics. Working with datasets, uncovering insights and shaping business strategy with solutions.
  • Year two: specialise in data science, applying advanced statistical modelling and machine learning techniques to deliver predictions and actionable insights.

What You’ll Gain

By the end of your programme, you’ll have developed:



  • Expertise in data analytics /data science.
  • Proficiency with industry‑leading tools: Python, R, Google Cloud Platform, SQL, Looker, MicroStrategy, and more.
  • Data storytelling skills, helping stakeholders make sense of complex insights.
  • Experience in data governance and peer‑review methods to ensure robust, reliable analysis.
  • Real‑world business knowledge and the ability to apply it to practical challenges.
  • Valuable connections across Admiral’s thriving Data Community, learning from peers and leaders who’ve walked the same path.

Why Join Admiral?

Our programmes are designed to challenge, inspire, and accelerate your career. From day one, you’ll have genuine responsibility and the support you need to succeed, including:



  • A five‑week induction covering both business and data foundations.
  • Ongoing training and development through our Data & AI Academy.
  • A dedicated mentor, line manager, and peer network to guide you every step of the way.

This is your chance to make an impact in a forward‑thinking organisation while building skills that will set you apart in the data industry.


Who We’re Looking For

  • STEM graduates (Maths, Physics, Computing, Engineering, Biology, Psychology, Economics, or similar).
  • Passion for data, problem‑solving, and applying knowledge to real‑world challenges.

But, we're not just looking for technical ability. We're looking for graduates who can bring data to life!You'll need to communicate insights clearly and adapt how you explain your findings depending on the audience, whether thats our technical colleagues, business leaders or customers.


Application Process

  1. Submit your CV & written application – specify which programme(s) you’re applying for.
  2. Online Numerical Test (25 minutes).
  3. Application screening – shortlisted applicants will be invited to the next stage.
  4. Assessment Centre (mid November, in‑person, Ty Admiral, Cardiff) includes a 30–45‑minute interview.
  5. Final Interview (late November / early December, virtual).

Admiral: Where You Can

We take pride in being a diverse and inclusive business. It's a place where you can Be You, and show up as you are. We’re committed to fostering a people‑first culture where everyone is accepted, supported, and empowered to be brilliant. You can, Grow And Progress at a pace and direction that suits you, Make A Difference for our customers and each other, and Share in Our Future with all colleagues eligible for up to £3,600 of free shares each year after one year of service.


Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays). You also have the option to buy or sell up to an additional five days of annual leave.


We’re proud of our people‑first culture. In fact, we've been recognised as a Great Place to Work for Women, a Great Place to Work for Wellbeing, and an overall Great Place to Work for over 25 years! We’re fully committed to making sure your progression is not slowed or halted by barriers related to race, gender, age, sexuality or any of the protected characteristics.


Our fantastic benefits make sure our colleagues have a great work‑life balance; You can view some of our other key benefits here.


#J-18808-Ljbffr

Related Jobs

View all jobs

Forensic Data Analytics Graduate Programme - September 2026 intake

Forensic Data Analytics Graduate Programme - September 2026

Data Analytics Graduate Programme

Data Analytics Graduate Programme

Data Analytics Graduate Programme

Graduate Data Scientist

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.