Data Portfolio Lead: AI-Driven EdTech Strategy in London

Data Portfolio Lead: AI-Driven EdTech Strategy in London

London Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the data product roadmap and enhance learning through AI and analytics.
  • Company: Join Jack & Jill, a cutting-edge EdTech unicorn in London.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic team making a real impact in EdTech.
  • Why this job: Shape the future of education with innovative AI-driven solutions.
  • Qualifications: Expertise in modern data stack and strong communication skills.

The predicted salary is between 70000 - 90000 £ per year.

Jack & Jill, a highly-funded EdTech unicorn, is seeking a Portfolio Lead for the Data Vertical in London. This strategic role encompasses owning the data product roadmap, influencing client relations, and enhancing the learning curriculum through AI and advanced analytics.

The ideal candidate will demonstrate deep expertise in the modern data stack and exceptional communication skills, driving innovative learning solutions that align with business needs.

Data Portfolio Lead: AI-Driven EdTech Strategy in London employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead transformative projects in the EdTech space. Join us to be part of a collaborative team that values creativity and empowers you to make a meaningful impact in education through cutting-edge AI solutions.

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Contact Details:

Jack & Jill Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Portfolio Lead: AI-Driven EdTech Strategy in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jack & Jill!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Portfolio Lead: AI-Driven EdTech Strategy at Jack & Jill.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jack & Jill.

Apply Directly through Our Website

When you find a suitable opening like Data Portfolio Lead: AI-Driven EdTech Strategy at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Portfolio Lead: AI-Driven EdTech Strategy in London

Data Product Roadmap Management
Client Relations
AI and Advanced Analytics
Modern Data Stack Expertise
Communication Skills
Innovative Learning Solutions Development
Strategic Thinking

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Jack & Jill

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.