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Software Data Science Degree Apprentice - Studentjob.co.uk
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Job Description:
The Opportunity
Leonardo offers a range of Apprenticeships from 2-4yrs. Across a variety of STEM and business routes, offering paid training, coupled with on the job learning that enables you to gain practical skills, experience and knowledge that sets up the best start to your career. We offer competitive entry salaries and fully support your academic learning through to qualifications, with salary increases as you progress.
The Apprenticeship:
Looking for a career which blends software engineering with the field of data science? How about immersing yourself in real-time projects, collaborating with top-notch scientists and engineers in a globally renowned company. If this sparks your interest, the Leonardo Data Science Engineering Degree Apprenticeship might just be your perfect match!
Dive into a world of paid training, splitting your time between prestigious partner universities and hands-on learning on the job. This is not just an apprenticeship; it's your gateway to acquiring practical skills, gaining invaluable experience, and kick-starting the best possible career journey.
However, that is not all. We offer a competitive entry salary of per year £21525 and support for your academic learning. We do not just stop at welcoming you to your new location; we ensure you feel at home from day one. With a dedicated Apprentice team at each site, your progression is our priority. We safeguard your study time, open doors to cutting-edge digital learning, and present opportunities to engage with the local community and STEM projects, enriching every aspect of your apprenticeship.
If this sounds like the adventure you have been waiting for, do not hesitate! Apply now and let the exciting journey with Leonardo begin!
Key Responsibility Areas
Leonardo values people that look to always develop throughout their career and along with an eager willingness to learn, a successful apprenticeship with Leonardo involves a drive to deliver results, sometimes from your own initiative, a patience for problem solving, as well as a need to comply with safety instructions and clear process compliance at all times. We view commitment to the programme and learning objectives very highly.
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During your apprenticeship, you will split your time between the workplace and university, gaining both academic knowledge and hands-on experience. You will:
- Commit to the successful completion of all your academic modules and assignments to achieve your Data Scientist Apprenticeship Standard (ST0585), which includes a BSc (Hons) Data Science
- Build your expertise in data science and software engineering by rotating through different areas of the business and contributing to our Integrated Project Teams.
- Develop practical skills in designing, building, and maintaining software solutions, with a focus on data-driven systems and complex applications.
- Gain a strong understanding of key software engineering principles, data science methodologies, and modern technologies used to process and analyse data.
- Support early careers initiatives - with opportunities to act as a STEM ambassador, engaging with schools, colleges, and universities to inspire future talent.
Qualifications And Entry Criteria
This Apprenticeship assumes the candidate has little professional engineering experience and is NOT suitable for candidates who already have an engineering, software or computing degree.
You must have as a minimum:
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120 UCAS Points to include Maths and at least 1 other STEM subject (3 B's at A' Level or equivalent qualification)
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Plus 5 GCSE grades 9-4 / A* - C or equivalent, must include Maths, English and a Science
During your Apprenticeship we encourage you to spend at least 3/4 days a week on site to integrate with your team and maximise your learning experience.
Security Clearance:
This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting
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Why join us:
At Leonardo, our people are at the heart of everything we do, key contributors in shaping innovation, advancing technology, and enhancing global safety.
We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive.
- Time to recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.
- Secure your future: Benefit from our award-winning pension scheme with up to 15% employer contribution.
- Your wellbeing matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).
- Rewarding performance: All employees are eligible for our bonus scheme.
- Join in our success: Our annual Employee Stock Ownership Plan provides you the opportunity to own shares in Leonardo.
- Tailored perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more.
For a full list of our company benefits please visit: https://careers.uk.leonardo.com/gb/en/company-benefits
We are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people, communities and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger - apply now!
Primary Location:
GB - Luton - Cap. Green 300
Contract Type:
Fixed term
Hybrid Working:
Hybrid
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