Data Curriculum Architect - Part-Time, Hybrid

Data Curriculum Architect - Part-Time, Hybrid

Part-Time 40000 - 50000 £ / year (est.) Home office (partial)
althaus

At a Glance

  • Tasks: Design and maintain engaging curriculum content for Data apprenticeships.
  • Company: Althaus partners with UK employers to enhance digital skills.
  • Benefits: Flexible part-time hours, hybrid work model, and collaboration with industry experts.
  • Other info: Join a dynamic team focused on closing digital skills gaps.
  • Why this job: Shape the future of digital skills and make a real impact in education.
  • Qualifications: Experience in curriculum design and a passion for data education.

The predicted salary is between 40000 - 50000 £ per year.

Althaus partners with UK employers to close digital skills gaps through apprenticeships and tailored skills development. The Data Curriculum Writer will design, write and maintain curriculum content for Data Level 3 and Level 4 apprenticeship programmes in a part-time, hybrid role based in Derby.

You will collaborate with subject matter experts, instructors and employer partners to keep materials current with industry trends, align with standards, and create engaging resources and assessments.

Data Curriculum Architect - Part-Time, Hybrid employer: althaus

Althaus Digital is an exceptional employer that prioritises employee growth and development, offering flexible working options to support a healthy work-life balance. With a strong commitment to quality assurance in digital marketing education, employees are encouraged to collaborate and innovate, ensuring a rewarding and meaningful experience while contributing to the success of learners. The supportive work culture fosters continuous professional development, making it an ideal place for those looking to advance their careers in a dynamic environment.

althaus

Contact Details:

althaus Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Curriculum Architect - Part-Time, Hybrid

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like althaus.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at althaus and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Data Curriculum Architect - Part-Time, Hybrid

Communication Skills
Problem-Solving Skills
Attention to Detail
Python
SQL
Data Governance
Automation

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at althaus aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at althaus

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with althaus.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to althaus.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at althaus, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at althaus will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.