Level 6 Data Science Degree Apprenticeship
Thales · South East · RH10 9HA
About the role
🚀 Data Scientist Apprentice 🚀
Ready to dive into the world of data and build some seriously cool tech? We're on the lookout for bright minds like yours to join our Data Scientist Apprenticeship program! 🤓 If you're obsessed with uncovering patterns, using evidence to make smart calls, and curious about how AI and machine learning can totally level up businesses, this is your chance! ✨
What's in it for YOU?
- Earn while you learn: Get paid a competitive salary from day one. 💰
- Real-world experience: Get hands-on training and tackle actual business challenges. 💪
- Level up your skills: Learn everything from data wrangling to building AI models from industry pros. 🧠
- Get a killer qualification: Study towards a fully funded BSc (Hons) Data Science degree with The University of Nottingham. 🎓
- Career security: Secure a permanent role from the get-go. 🌟
- Support system: Enjoy a fantastic benefits package including a health cash plan, employee assistance program, and more! 💯
About the Role:
As a Data Scientist Apprentice, you'll be the go-to for curiosity and problem-solving using data. You'll work with all sorts of data, tools, and tech to spot trends, create predictive models, and give businesses the insights they need to make awesome decisions. You’ll learn to transform raw data into game-changing business intelligence and help build data-driven solutions that make a real impact. 📈
Your Mission (Responsibilities May Include):
- Identifying business puzzles and using data science to find solutions. 🧩
- Collecting, cleaning, and making sense of data from everywhere. 🗂️
- Building expertise in: Data Science & Analytics, Machine Learning & AI, Stats, Data Engineering, Data Viz & Storytelling, and Programming (Python, SQL). 💻🐍
- Helping to build and test predictive models. 🔮
- Working with teams to create data products and dashboards that everyone uses. 📊
- Making sure our analytical solutions are top-notch and always improving. ✅
What You'll Master:
You'll gain epic skills in data collection, prep, and management, mastering statistical methods, Python & SQL, machine learning, data visualisation, AI fundamentals, and more! Plus, you'll learn how to communicate your findings to anyone, understand business needs, and work like a pro in agile teams. 🚀
Apprenticeship Deets:
This is a 42-month Level 6 Data Scientist Apprenticeship with The University of Nottingham, blending on-campus learning, online study, and workplace experience. Expect about 4 weeks of university per year, in 1-week blocks.
Entry Requirements:
- A Levels: 3 A Levels (BBC), including Maths. 🧮 (Sorry, Citizenship Skills, General Studies, and Critical Thinking don't count).
- GCSEs: Minimum 5 GCSEs at Grade 4/C or above, including English Language and Maths (Maths at Grade 5/C or above). 💯
- OR: A Level 4 Data Analyst qualification might be considered.
- *Note: If you already have a relevant degree, this program isn't for you.*
Perks & Pay:
- Salary: £24,000 per year. 💸
- Holiday: 201 hours a year (plus company day & bank holidays). 🏖️
- Benefits: Contributory Pension, Health Cash Plan, Hybrid/Flexible Working, Employee Assistance Programme, Life Cover, Volunteering Hours, and loads more! 🎁
Ready to Apply?
Head over to our website and hit 'Apply'! Make sure to submit your application ASAP, as roles can close early if we get tons of interest. 🏃♀️💨
- Security Note: Due to the nature of our work, all roles are subject to security checks. You'll need the right to work in the UK and be able to pass UK Government security clearances. This typically means living in the UK for the last 5 years. 🇬🇧
Application Window: Closes 11:59pm on Wednesday 17 February 2027. Don't miss out! ⏳
Key responsibilities
- Identifying business challenges and using data science techniques to recommend solutions.
- Collecting, preparing, cleansing, and analysing data from multiple sources.
- Supporting the development and testing of predictive models and analytical solutions.
- Working with data teams to create data products, dashboards, and insights used across the business.
- Evaluating model performance and supporting continuous improvement of analytical solutions.