Tech and Data Lead

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Tech and Data Lead – Job Spec Location: In-Person (Hammersmith) – with scope for one remote day after probation period. Company Wonders of Maths (WoM) is a lean, fast-growing EdTech tutoring company supporting students from Year 1 to Year 13 across key subjects (Maths, English, Chemistry, Physics, Reasoning). Powered by its platform Educai, WoM makes learning accessible to everyone by teaching in a way that resonates with each individual and benefits from a strong engaged community. About the Role Our 10-person team is seeking a Tech and Data Lead who will:
Own the data and analytics provision of our business Leverage technology to strengthen operations, enable growth and deliver the company’s strategic plan. Own and manage all technology and data across Educai and supporting tools, directing and managing external resources to support rapid growth and operational efficiency. Be a proactive, experienced and detail-oriented Tech and Data Lead to start as soon as possible, driving significant technology and data needs, reporting to the CEO and Founder and supporting the next stage of our growth; we see technology as critical to scaling beyond the typical brick-and-mortar tutoring model.
Key Responsibilities
Set the technical direction and provide technical expertise to help shape a big vision for Educai by leading the development and implementation of new products. Lead technical product initiatives, ensuring alignment with business objectives and on-time delivery, including oversight of external development resources. Own and develop the organisation’s analytical capability, enabling high-quality decision making at both operational and strategic levels. Identify improvements that can be implemented with new tools, workflows, processes, or structural changes to drive high-quality outcomes.
Required Experience & Skills
3+ years of relevant work experience in a fast paced environment. Experience across a variety of technical and AI solutions, including data, analytics and machine learning. Strong proficiency in analytical programming languages such as python and SQL. Proven ability to deliver end-to-end analytics solutions with measurable business impact. Demonstrated experience implementing operational automations and process optimisations to reduce administrative overhead and improve efficiency. Experience collaborating with stakeholders across the business to align data initiatives with operational needs, ensuring solutions that improve efficiency, accuracy, or decision quality. Proficiency with AWS or other major cloud platforms.
Desirable Experience
Experience applying data science or machine-learning techniques to natural-language data. Track record of leveraging AI to drive innovation and meaningful operational or commercial outcomes. Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics or a related field.
Core Values & Competencies
Self-starter with experience in start-up or small-company environments. High personal drive and momentum. Forward-thinking mindset. Have a strong bias for action and persist in accomplishing objectives despite setbacks. Clear, effective communicator. High attention to detail. Deals comfortably with the uncertainty of change and complex problems, effectively handles risk and can make a decision with incomplete information. Operates effectively, is calm under pressure and productive when plate spinning or when the future is unclear. Able to understand the perspective of others and evaluate their own thinking whilst looking for feedback and continuously improve.
Our Technology Stack Educai Platform
Frontend: TypeScript, React Backend: Node.js Infrastructure: AWS Analytics / Dashboards: Flask, Dash, Python
Direct experience with these tools isn’t required, but you must be able to quickly master comparable modern languages, cloud platforms, and data tooling. Employment Requirements Right to work in the UK (no sponsorship available). #J-18808-Ljbffr
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Location:
Greater London
Job Type:
FullTime

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