At a Glance
- Tasks: Lead the product roadmap for data apprenticeships and ensure curriculum excellence.
- Company: Join Multiverse, a pioneering edtech company transforming professional development.
- Benefits: Competitive salary, dynamic work environment, and opportunities for career growth.
- Other info: Be part of a high-growth team backed by top investors.
- Why this job: Shape the future of education and impact thousands of learners' careers.
- Qualifications: Expertise in data science and proven experience in product management.
The predicted salary is between 80000 - 100000 £ per year.
Multiverse.io is a Series D-funded edtech leader backed by Bessemer Venture Partners, reinventing professional development by replacing traditional degrees with high-impact apprenticeships in data, engineering, and business.
As Portfolio Lead for the Data vertical, you will own the product roadmap for UK data upskilling apprenticeships. You’ll blend technical expertise with strategic product management to define curriculum excellence, support complex GTM deals, and ensure Multiverse.io products remain at the cutting edge of the modern data stack for global clients.
Location: London, UK
Why this role is remarkable:
- Shape the future of education by replacing outdated degree models with a modern, applied learning curriculum that directly impacts the careers of thousands of learners.
- Join a high-growth, Series D scale-up backed by world-class investors like Bessemer Venture Partners, operating at massive scale across the UK.
- Work at the intersection of product strategy and technical data domains, influencing how the world's leading organizations build their data science and AI capabilities.
What You Will Do:
- Own the strategic roadmap and performance metrics for the Data product set, identifying new UK releases to drive bookings and improve learner retention.
- Serve as the technical domain expert for Go-To-Market discovery, aligning data products with the needs of Chief Data Officers at major enterprises.
- Collaborate with Learning and Technology squads to quality-assure synchronous and blended learning models, ensuring high engagement and technical relevance for the modern stack.
The ideal candidate:
- Brings deep domain expertise in data science, analytics, or engineering, with a strong grasp of the modern data stack including data lakes, warehouses, and ML libraries.
- Has a proven track record of launching and iterating on technical products or curricula in a fast-paced, cross-functional environment.
- Exhibits exceptional communication skills, capable of translating complex technical specifications for stakeholders ranging from junior learners to C-suite executives.
Portfolio Lead at Multiverse in London employer: Jack & Jill
Multiverse is an exceptional employer that champions innovation in professional development through high-impact apprenticeships, fostering a dynamic work culture in the heart of London. Employees benefit from a collaborative environment that prioritises growth and learning, with opportunities to shape the future of education while working alongside industry leaders in data and technology. Join us to make a meaningful impact on the careers of thousands, all while being part of a fast-paced, supportive team dedicated to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Lead at Multiverse in London
✨Get Involved in Data Science Meetups
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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.
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We think you need these skills to ace Portfolio Lead at Multiverse in London
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.
