At a Glance
- Tasks: Own and optimise workflows for learner success in a dynamic operations team.
- Company: Join a forward-thinking company dedicated to AI and data education.
- Benefits: Enjoy 27 days holiday, health insurance, gym membership, and flexible work options.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact on learners' journeys while developing your skills in a supportive environment.
- Qualifications: Comfortable with data analysis and eager to learn tools like SQL and Tableau.
The predicted salary is between 30000 - 40000 £ per year.
About the Role
As a Pod Operations Specialist, you are the engine room of the Mid‑Market Client Delivery Team’s operational excellence. This is a team of over 30 coaches delivering AI, Data and apprenticeship programmes to over 4,000 learners from 300 employers. Reporting to the Operations Manager, you will own the execution, maintenance, and optimisation of the workflows that support a vast array of clients and their learners. You act as a force multiplier for our coaches, leveraging data and automation to remove administrative friction and ensure every learner has a seamless journey from kickoff to completion. This is a high‑impact, hybrid role based in London, requiring 3 days per week in the office to collaborate closely with the delivery team. Note: This is a 12‑month fixed‑term contract.
What You’ll Do
- Directly own the tracking, reporting and improvement of the pod’s primary learner health metrics.
- Use Metabase, SQL, and the Tableau dashboards to identify leading indicators of attrition.
- Provide qualitative analysis to paint a picture of risk for MBR/QBR reporting and respond to deep‑dive queries on client health.
- Maintain and optimise pod infrastructure within our Knowledge Base, ensuring SOPs and sources of truth are always accurate.
- Execute critical delivery workflows, including processing breaks in learning, managing gateway bookings, ensuring coach cover and overseeing the administrative side of apprentice programme success.
- Act as the operational point of contact for account kickoffs, working with Customer Success Managers, Launch and Admissions teams.
- Organise learner allocations and manage platform transfers of learners.
- Surface insights for weekly and monthly learner retention reports, conduct deep dives and create reports that can be shared with senior stakeholders.
- Identify opportunities to use AI tools and no‑code solutions (e.g., Slack workflows, Gems, Claude artifacts) to automate repetitive tasks and improve pod efficiency.
About You
- You are comfortable navigating complex datasets (Metabase, GSheets) and can independently derive actionable insights from raw data.
- You have a high degree of comfort with ambiguity and provide clarity for stakeholders in a fast‑paced environment.
- You have experience, or a strong willingness to master, tools like Metabase, Tableau or SQL for troubleshooting, and AI‑driven workflows.
- You can translate technical data into clear, concise narratives for leadership and commercial teams.
- You don't just report issues; you identify root causes and build systems to prevent them from reoccurring.
Success for the P5 Specialist is measured by the health of the pod. This means zero gaps in data hygiene, timely processing of all learner transitions, and a measurable reduction in the administrative load on our coaching cohort.
Benefits
- Time off – 27 days holiday, plus 5 additional days off: one life event day, 2 volunteer days, 2 company‑wide wellbeing days (M‑Powered Weekend) and 8 bank holidays per year.
- Health & Wellness – private medical insurance with Bupa, a medical cashback scheme, life insurance, gym membership and wellness resources through Wellhub and access to Spill – all in one mental health support.
- Hybrid work offering – for most roles we collaborate in the office three days per week (exception for Coaches and Instructors who collaborate in the office once a month).
- Work‑from‑anywhere scheme – you’ll have the opportunity to work from anywhere, up to 10 days per year.
- Space to connect – beyond the desk, we make time for weekly catch‑ups, seasonal celebrations, and have a kitchen that’s always stocked!
Our Commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change.
Our Commitment to Safeguarding
Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
StudySmarter Expert Advice🤫
We think this is how you could land Operations Specialist (12-Month FTC)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Multiverse before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Multiverse.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Multiverse.
We think you need these skills to ace Operations Specialist (12-Month FTC)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Multiverse, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Multiverse, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Multiverse’s attention and show the tangible impact of your work.
How to prepare for a job interview at Multiverse
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Multiverse.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Multiverse.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Multiverse.
