At a Glance
- Tasks: Join a dynamic team and work on real-world data projects across various industries.
- Company: Oliver Wyman, a leading consultancy firm with a focus on innovation.
- Benefits: Earn a degree while gaining hands-on experience and receiving extensive coaching.
- Other info: Opportunity to work on impactful projects in financial services, climate, energy, and retail.
- Why this job: Kickstart your career in data analytics with a prestigious apprenticeship programme.
- Qualifications: Passion for data and a willingness to learn; no prior experience required.
The predicted salary is between 32963 - 40289 £ per year.
Oliver Wyman in Newcastle upon Tyne is launching a three-year Data and Analytics Apprenticeship in partnership with the University of Exeter.
This degree apprenticeship leads to a BSc (Hons) in Digital and Technology Solutions (Data Analytics) and a Level 6 Degree Apprenticeship, with end-point assessment.
You will join a growing DNA team, work on real projects across financial services, climate, energy, and retail, and receive extensive coaching, training, and hands-on data work from day one.
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Data & Analytics Degree Apprenticeship - Elite Training in Newcastle upon Tyne employer: Marsh
Marsh is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and employees are empowered to make impactful contributions. With a strong focus on professional development, team members have access to numerous growth opportunities while working in a hybrid environment that balances flexibility with in-person collaboration across various UK locations. Joining Marsh means being part of a forward-thinking team dedicated to delivering cutting-edge AI solutions in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Degree Apprenticeship - Elite Training in Newcastle upon Tyne
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Marsh.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Marsh and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data & Analytics Degree Apprenticeship - Elite Training in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Marsh that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Marsh
✨Brush Up on the Basics
Before your interview with Marsh, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Marsh. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!
