Jobs / Num***

Senior Analytics Engineer

Num*** · London
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LondonRemote
Remuneration
Not specified
Location
London
Visa sponsorship
Sponsors visa

Job summary

About Num*** Founded in 2018, we’ve already grown to be a 300+ team distributed across the globe, united by a singular mission: empowering people to take control of their health. Num*** is transforming health: we’ve built a cutting-edge platform that integrates diagnostics, medication, supplements, digital programmes, and doctor consultations. Giving people the tools they need to maximise life.

Benefits

Include...Share options.25 days holiday, plus bank holidays (increasing to 30 the longer you stay with NHealth insurance with Vitality.Electric car salary sacrifice scheme with Octopus.Enhanced maternity and parental leave.A day off on your Birthday!Nursery benefit provided by YellowNest.Employee assistance programme (access to therapy, financial planning and discounGenerous pension (includes both employee and employer contributions).Flexible working options, including a dog-friendly office in Farringdon.Personal training and development budget via Learnerbly.

Qualifications

  • managing dependencies, identifying critical path and risks, and communicating progress to stakeholders.
  • Mentoring data scientist and analyst data modelling capabilities ; build a culture of best practices, code review, and continuous learning across the data team.
  • Partnering with clinical, commercial, and product teams to translate complex domain
  • into robust, well-documented data models.
  • Evaluating, trialing, and championing AI-powered analytics tooling - shaping Num***'s strategic direction on emerging
  • with particular sensitivity to regulated healthcare data.
  • Practical experience with AI-assisted analytics workflows, or a strong demonstrated appetite to work at the frontier of AI in analytics.
  • It's a bonus if you have:
  • Worked in a digital consumer scale-up, with experience of delivering high quality work at pace.
  • Hands-on experience evaluating or implementing AI/LLM tooling in a data or analytics context (e.g.
  • semantic layers, natural language querying, AI-assisted documentation).

Skills

CommunicationEnglish

Degrees

Associate

Languages

English

Industry

BankingEnergyHealthcareInsuranceLogistics

Company size

ScaleupSmb