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- Tasks: Manage data end-to-end, build models, and communicate insights using tools like Excel and Power BI.
- Company: Join Newcastle Financial Advisers, a trusted name in financial advice for over 20 years.
- Benefits: Enjoy a competitive salary, 25-30 days holiday, hybrid working, and various wellbeing perks.
- Why this job: Gain an MSc equivalent qualification while working and contribute to meaningful community engagement.
- Qualifications: Must have a minimum 2:1 honours degree in a numerate discipline and strong analytical skills.
- Other info: Application is easy—just submit your CV online; assessment centre on 30th July 2024.
Are you passionate about data-driven insights? Would you like to earn an additional qualification while you work? Then we have the right opportunity for you.
As a Graduate Data Scientist Apprentice, you will work towards a Level 7 (MSc equivalent) qualification. You will gain the knowledge, skills, and behaviours to become a fully-fledged data scientist. You will work within a major employer in the North East, with a focus on community and employee engagement.
Your role will involve managing data end-to-end: querying databases, using R/Python to build models and create insights, and communicating findings via tools like Excel, R Shiny, or Power BI. You will contribute to the development of administrative processes and collaborate with partners on system data development and distribution. You will also help maintain and improve the Financial Advice Management Information (MI) suite to support Newcastle Financial Advisers' growth.
With support from your manager and mentor, you will set objectives to ensure your development. The program includes a team challenge project with the Early Talent community to enhance your learning experience.
About You: We're seeking an enthusiastic individual passionate about programming, data insights, and storytelling. You should thrive on challenges and be eager to create solutions from scratch. A minimum 2:1 honours degree or equivalent in a numerate discipline (Maths, Statistics, Computer Science, or similar) is required. Strong communication, attention to detail, analytical, and IT skills, including proficiency in MS 365, are essential.
About Us: Newcastle Financial Advisers has provided trusted advice for over 20 years. We are committed to diversity and inclusion, reflecting the communities we serve, and encouraging applications from candidates of various backgrounds.
How to apply? Submit your application and CV via our online portal. The assessment centre is scheduled for 30th July 2024.
What’s in it for you? We offer a competitive salary, a 35-hour workweek, 25 days holiday (rising to 30), bonus scheme, pension, life assurance, wellbeing benefits, cycle scheme, extra holidays, volunteering days, development opportunities, and hybrid working. We promote an inclusive environment where you can be yourself.
Graduate Data Scientist Apprentice employer: Newcastle Building Society
Contact Detail:
Newcastle Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist Apprentice
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as R, Python, Excel, and Power BI. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Engage with the Newcastle Building Society on social media platforms. This will not only keep you updated on their latest news but also give you insights into their culture and values, which you can reference in your discussions.
✨Tip Number 3
Prepare to discuss your passion for data-driven insights and how you've applied analytical skills in real-world scenarios. Think of specific examples where you've turned data into actionable insights, as this aligns with the role's focus.
✨Tip Number 4
Network with current or former apprentices at Newcastle Building Society. They can provide valuable insights into the apprenticeship experience and may even offer tips on what the interviewers are looking for.
We think you need these skills to ace Graduate Data Scientist Apprentice
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements of the Graduate Data Scientist Apprentice position. Tailor your application to highlight how your skills and experiences align with these expectations.
Craft a Strong CV: Ensure your CV is up-to-date and clearly outlines your educational background, relevant skills, and any experience related to data science or programming. Use bullet points for clarity and focus on achievements that demonstrate your analytical abilities.
Write a Compelling Cover Letter: In your cover letter, express your passion for data-driven insights and explain why you are interested in this apprenticeship. Highlight specific projects or experiences that showcase your programming skills and problem-solving capabilities.
Follow Application Instructions: Make sure to submit your application and CV via the specified online portal. Double-check that all required documents are included and that your application form is filled out completely before hitting 'submit'.
How to prepare for a job interview at Newcastle Building Society
✨Show Your Passion for Data
Make sure to express your enthusiasm for data-driven insights during the interview. Share specific examples of projects or experiences where you used data to solve problems or create solutions, as this will demonstrate your genuine interest in the field.
✨Brush Up on Technical Skills
Since the role involves using R/Python and tools like Excel, R Shiny, or Power BI, be prepared to discuss your proficiency in these areas. You might even want to practice coding challenges or data analysis tasks to showcase your skills effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach real-world data challenges, and be ready to explain your thought process clearly. This will highlight your analytical skills and ability to communicate findings.
✨Demonstrate Team Collaboration
As the role involves working with partners and contributing to team projects, be prepared to discuss your experience in collaborative environments. Share examples of how you've worked effectively in teams, highlighting your communication and interpersonal skills.
